International survey of academic library data curation practices

83Table 16.1.6 Rate the extent of the library role in discovering data set databases Broken out for universities with and without a distinct line item in the library budget for data cura

INTERNATIONAL SURVEY OF ACADEMIC & RESEARCH LIBRARY DATA CURATION PRACTICES, 2019

Edition

©2018 Primary Research Group Inc

ISBN 978-157440-553-8

Table of Contents

THE QUESTIONNAIRE 16

PARTICIPANTS LIST 23

Characteristics of the Sample 24

Summary of Main Findings 25

How many, if any, full time equivalent positions at your library are dedicated largely to data management? 25

Over the past two years has the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same? 25

Over the next two years do you expect the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same? 25

Does the library offer faculty advice on how to develop data management plans for grant proposals, journal publisher requirements or for personal use? 25

Does the library have any series of tutorials, seminars, classes, videos or other formal means to train faculty in data manipulation, storage or management? 26

One on one tutorials 26

Formal classes 26

Workshops or seminars 26

Videos or web-based tutorials 26

LibGuides 27

Other activities 27

Please describe in detail the library's best attended class, seminar and/or most used video or tutorial on data management issues 27

Does the university library offer a class or other specialized training in how to develop a DMP (data management plan) for the US National Science Foundation or other national body for countries other than the USA? 27

How strong is demand from your library patrons for data curation services from the library? 27

Which phrase best describes the coordination of data services offered by entities on your campus such as academic departments especially in engineering and the hard sciences, the Library, Information Technology, Office of Research and other centers concerned with data management 27

In addition to the library what other departments or entities have devoted significant resources to data management issues? 28

Does the library offer training to faculty, students or other library patrons in any of the following statistical or science-related applications? 28

Excel 28

R 28

Python 28

SPSS 29

Other programs 29

Library role in statistical package training 29

Percentage of the research data projects that the library customarily deals with that concern human subjects or are otherwise sensitive and confidential and require strict distribution monitoring 29

Does the library encourage the deposit into institutional digital repositories data sets connected to or used for scholarly articles but which might not appear in the publications themselves? 29 About what percentage of data intensive scholarly articles deposited into your

institution's digital repository or subject specific repositories are accompanied for

deposit by data sets that may not themselves appear verbatim in the articles themselves?

30

Does your data services unit utilize some form of request management system that records and tracks data services requests by library patrons? 30

If your library has such a request management system please describe it below 30

At your institution, for those scholars whose work requires data housing and preservation, what percentage seek out the library to perform these functions vs using other data storage? 30

Most common file formats used by researchers 31

Rate the extent of the library role in the following data management issues 31

Discovering data set databases 31

Developing metadata for data sets in institutional or departmental repositories 31

Archiving or housing data sets or related data databases 31

Assuring compliance with grant data management requirements 32

Training researchers to use statistical, mathematical or scientific software 32

Training researchers in data visualization techniques 32

Library role in training academics in overall research data curation and management 32

Has the library ever received an external grant to support activities in data curation? 32

Describe some of the practices that your library follows in developing metadata practices for the proper classification and recall of data sets 33

About what percentage of the total staff time that your library spends on data management issues would you say is accounted for by the development of metadata and other cataloging issues? 33

Which institutions do you most admire for their data curation efforts? 33

Table 1.1 How many, if any, full time equivalent positions at your library are dedicated largely to data management? 34

Table 1.2 How many, if any, full time equivalent positions at your library are dedicated largely to data management? Broken out for public and private universities 34

Table 1.3 How many, if any, full time equivalent positions at your library are dedicated largely to data management? Broken out by Carnegie class or type of institution 34

Table 1.4 How many, if any, full time equivalent positions at your library are dedicated largely to data management? Broken out by enrollment 34

Table 1.5 How many, if any, full time equivalent positions at your library are dedicated largely to data management? Broken out by tuition, $ 35

Table 1.6 How many, if any, full time equivalent positions at your library are dedicated largely to data management? Broken out for universities with and without a distinct line item in the library budget for data curation 35

Table 2.1 Over the past two years has the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same? 36

Table 2.2 Over the past two years has the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same? Broken out for public and private universities 36

Table 2.3 Over the past two years has the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same? Broken out by Carnegie class or type of institution 36

Table 2.4 Over the past two years has the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same? Broken out by enrollment 37

Table 2.5 Over the past two years has the amount of total staff time spent on data

management issues by your library to increase, decrease or stay about the same? Broken out by tuition, $ 37Table 2.6 Over the past two years has the amount of total staff time spent on data

management issues by your library to increase, decrease or stay about the same? Broken out for universities with and without a distinct line item in the library budget for data curation 37Table 3.1 Over the next two years do you expect the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same? 38Table 3.2 Over the next two years do you expect the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same? Broken out for public and private universities 38Table 3.3 Over the next two years do you expect the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same? Broken out by Carnegie class or type of institution 38Table 3.4 Over the next two years do you expect the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same? Broken out by enrollment 39Table 3.5 Over the next two years do you expect the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same? Broken out by tuition, $ 39Table 3.6 Over the next two years do you expect the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same? Broken out for universities with and without a distinct line item in the library budget for data curation 39Table 4.1 Does the library offer to faculty advice on how to develop data management plans for grant proposals, journal publisher requirements or for personal use? 40Table 4.2 Does the library offer to faculty advice on how to develop data management plans for grant proposals, journal publisher requirements or for personal use? Broken out for public and private universities 40Table 4.3 Does the library offer to faculty advice on how to develop data management plans for grant proposals, journal publisher requirements or for personal use? Broken out by Carnegie class or type of institution 40Table 4.4 Does the library offer to faculty advice on how to develop data management plans for grant proposals, journal publisher requirements or for personal use? Broken out by enrollment 40Table 4.5 Does the library offer to faculty advice on how to develop data management plans for grant proposals, journal publisher requirements or for personal use? Broken out by tuition, $ 41Table 4.6 Does the library offer to faculty advice on how to develop data management plans for grant proposals, journal publisher requirements or for personal use? Broken out for universities with and without a distinct line item in the library budget for data curation 41Table 5 Does the library have any series of tutorials, seminars, classes, videos or other formal means to train faculty in data manipulation, storage or management? (check all that apply) 42Table 5.1.1 Does the library have one on one tutorials to train faculty in data

manipulation, storage or management? 42Table 5.1.2 Does the library have one on one tutorials to train faculty in data

manipulation, storage or management? Broken out for public and private universities 42

Table 5.1.3 Does the library have one on one tutorials to train faculty in data

manipulation, storage or management? Broken out by Carnegie class or type of

institution 42Table 5.1.4 Does the library have one on one tutorials to train faculty in data

manipulation, storage or management? Broken out by enrollment 42Table 5.1.5 Does the library have one on one tutorials to train faculty in data

manipulation, storage or management? Broken out by tuition, $ 43Table 5.1.6 Does the library have one on one tutorials to train faculty in data

manipulation, storage or management? Broken out for universities with and without a distinct line item in the library budget for data curation 43Table 5.2.1 Does the library have formal classes to train faculty in data manipulation, storage or management? 43Table 5.2.2 Does the library have formal classes to train faculty in data manipulation, storage or management? Broken out for public and private universities 43Table 5.2.3 Does the library have formal classes to train faculty in data manipulation, storage or management? Broken out by Carnegie class or type of institution 44Table 5.2.4 Does the library have formal classes to train faculty in data manipulation, storage or management? Broken out by enrollment 44Table 5.2.5 Does the library have formal classes to train faculty in data manipulation, storage or management? Broken out by tuition, $ 44Table 5.2.6 Does the library have formal classes to train faculty in data manipulation, storage or management? Broken out for universities with and without a distinct line item in the library budget for data curation 44Table 5.3.1 Does the library have workshops or seminars to train faculty in data

manipulation, storage or management? 45Table 5.3.2 Does the library have workshops or seminars to train faculty in data

manipulation, storage or management? Broken out for public and private universities 45Table 5.3.3 Does the library have workshops or seminars to train faculty in data

manipulation, storage or management? Broken out by Carnegie class or type of

institution 45Table 5.3.4 Does the library have workshops or seminars to train faculty in data

manipulation, storage or management? Broken out by enrollment 45Table 5.3.5 Does the library have workshops or seminars to train faculty in data

manipulation, storage or management? Broken out by tuition, $ 45Table 5.3.6 Does the library have workshops or seminars to train faculty in data

manipulation, storage or management? Broken out for universities with and without a distinct line item in the library budget for data curation 46Table 5.4.1 Does the library have videos or web-based tutorials to train faculty in data manipulation, storage or management? 46Table 5.4.2 Does the library have videos or web-based tutorials to train faculty in data manipulation, storage or management? Broken out for public and private universities 46Table 5.4.3 Does the library have videos or web-based tutorials to train faculty in data manipulation, storage or management? Broken out by Carnegie class or type of

institution 46Table 5.4.4 Does the library have videos or web-based tutorials to train faculty in data manipulation, storage or management? Broken out by enrollment 46Table 5.4.5 Does the library have videos or web-based tutorials to train faculty in data manipulation, storage or management? Broken out by tuition, $ 47

Table 5.4.6 Does the library have videos or web-based tutorials to train faculty in data manipulation, storage or management? Broken out for universities with and without a distinct line item in the library budget for data curation 47Table 5.5.1 Does the library have a LibGuide to train faculty in data manipulation, storage

or management? 47Table 5.5.2 Does the library have a LibGuide to train faculty in data manipulation, storage

or management? Broken out for public and private universities 47Table 5.5.3 Does the library have a LibGuide to train faculty in data manipulation, storage

or management? Broken out by Carnegie class or type of institution 48Table 5.5.4 Does the library have a LibGuide to train faculty in data manipulation, storage

or management? Broken out by enrollment 48Table 5.5.5 Does the library have a LibGuide to train faculty in data manipulation, storage

or management? Broken out by tuition, $ 48Table 5.5.6 Does the library have a LibGuide to train faculty in data manipulation, storage

or management? Broken out for universities with and without a distinct line item in the library budget for data curation 48Does the library have other activities to train faculty in data manipulation, storage or management? 49Please describe in detail the library's best attended class, seminar and/or most used video

or tutorial on data management issues Broken out by Carnegie Class: 50Table 6.1 Does the university library offer a class or other specialized training in how to develop a DMP (data management plan) for the US National Science Foundation or other national body for countries other than the USA? 51Table 6.2 Does the university library offer a class or other specialized training in how to develop a DMP (data management plan) for the US National Science Foundation or other national body for countries other than the USA? Broken out for public and private

universities 51Table 6.3 Does the university library offer a class or other specialized training in how to develop a DMP (data management plan) for the US National Science Foundation or other national body for countries other than the USA? Broken out by Carnegie class or type of institution 51Table 6.4 Does the university library offer a class or other specialized training in how to develop a DMP (data management plan) for the US National Science Foundation or other national body for countries other than the USA? Broken out by enrollment 52Table 6.5 Does the university library offer a class or other specialized training in how to develop a DMP (data management plan) for the US National Science Foundation or other national body for countries other than the USA? Broken out by tuition, $ 52Table 6.6 Does the university library offer a class or other specialized training in how to develop a DMP (data management plan) for the US National Science Foundation or other national body for countries other than the USA? Broken out for universities with and without a distinct line item in the library budget for data curation 52Table 7.1 How strong is demand from your library patrons for data curation services from the library? 53Table 7.2 How strong is demand from your library patrons for data curation services from the library? Broken out for public and private universities 53Table 7.3 How strong is demand from your library patrons for data curation services from the library? Broken out by Carnegie class or type of institution 53Table 7.4 How strong is demand from your library patrons for data curation services from the library? Broken out by enrollment 54

Table 7.5 How strong is demand from your library patrons for data curation services from the library? Broken out by tuition, $ 54Table 7.6 How strong is demand from your library patrons for data curation services from the library? Broken out for universities with and without a distinct line item in the library budget for data curation 54Table 8.1 Which phrase best describes the coordination of data services offered by entities

on your campus such as academic departments especially in engineering and the hard sciences, the Library, Information Technology, Office of Research and other centers concerned with data management 55Table 8.2 Which phrase best describes the coordination of data services offered by entities

on your campus such as academic departments especially in engineering and the hard sciences, the Library, Information Technology, Office of Research and other centers concerned with data management Broken out for public and private universities 55Table 8.3 Which phrase best describes the coordination of data services offered by entities

on your campus such as academic departments especially in engineering and the hard sciences, the Library, Information Technology, Office of Research and other centers concerned with data management Broken out by Carnegie class or type of institution 56Table 8.4 Which phrase best describes the coordination of data services offered by entities

on your campus such as academic departments especially in engineering and the hard sciences, the Library, Information Technology, Office of Research and other centers concerned with data management Broken out by enrollment 56Table 8.5 Which phrase best describes the coordination of data services offered by entities

on your campus such as academic departments especially in engineering and the hard sciences, the Library, Information Technology, Office of Research and other centers concerned with data management Broken out by tuition, $ 57Table 8.6 Which phrase best describes the coordination of data services offered by entities

on your campus such as academic departments especially in engineering and the hard sciences, the Library, Information Technology, Office of Research and other centers concerned with data management Broken out for universities with and without a distinct line item in the library budget for data curation 57

In addition to the library what other departments or entities have devoted significant resources to data management issues? Broken out by Carnegie Class: 58Table 9 Does the library offer training to faculty, students or other library patrons in any of the following statistical or science-related applications? 59Table 9.1.1 Does the library offer training to faculty, students or other library patrons in STATA? 59Table 9.2.1 Does the library offer training to faculty, students or other library patrons in Minitab? 59Table 9.3.1 Does the library offer training to faculty, students or other library patrons in SPSS? 59Table 9.3.2 Does the library offer training to faculty, students or other library patrons in SPSS? Broken out for public and private universities 59Table 9.3.3 Does the library offer training to faculty, students or other library patrons in SPSS? Broken out by Carnegie class or type of institution 59Table 9.3.4 Does the library offer training to faculty, students or other library patrons in SPSS? Broken out by enrollment 60Table 9.3.5 Does the library offer training to faculty, students or other library patrons in SPSS? Broken out by tuition, $ 60

Table 9.3.6 Does the library offer training to faculty, students or other library patrons in SPSS? Broken out for universities with and without a distinct line item in the library budget for data curation 60Table 9.4.1 Does the library offer training to faculty, students or other library patrons in SAS? 60Table 9.5.1 Does the library offer training to faculty, students or other library patrons in R? 60Table 9.5.2 Does the library offer training to faculty, students or other library patrons in R? Broken out for public and private universities 61Table 9.5.3 Does the library offer training to faculty, students or other library patrons in R? Broken out by Carnegie class or type of institution 61Table 9.5.4 Does the library offer training to faculty, students or other library patrons in R? Broken out by enrollment 61Table 9.5.5 Does the library offer training to faculty, students or other library patrons in R? Broken out by tuition, $ 61Table 9.5.6 Does the library offer training to faculty, students or other library patrons in R? Broken out for universities with and without a distinct line item in the library budget for data curation 62Table 9.6.1 Does the library offer training to faculty, students or other library patrons in Python? 62Table 9.6.2 Does the library offer training to faculty, students or other library patrons in Python? Broken out for public and private universities 62Table 9.6.3 Does the library offer training to faculty, students or other library patrons in Python? Broken out by Carnegie class or type of institution 62Table 9.6.4 Does the library offer training to faculty, students or other library patrons in Python? Broken out by enrollment 62Table 9.6.5 Does the library offer training to faculty, students or other library patrons in Python? Broken out by tuition, $ 63Table 9.6.6 Does the library offer training to faculty, students or other library patrons in Python? Broken out for universities with and without a distinct line item in the library budget for data curation 63Table 9.7.1 Does the library offer training to faculty, students or other library patrons in Excel? 63Table 9.7.2 Does the library offer training to faculty, students or other library patrons in Excel? Broken out for public and private universities 63Table 9.7.3 Does the library offer training to faculty, students or other library patrons in Excel? Broken out by Carnegie class or type of institution 63Table 9.7.4 Does the library offer training to faculty, students or other library patrons in Excel? Broken out by enrollment 64Table 9.7.5 Does the library offer training to faculty, students or other library patrons in Excel? Broken out by tuition, $ 64Table 9.7.6 Does the library offer training to faculty, students or other library patrons in Excel? Broken out for universities with and without a distinct line item in the library budget for data curation 64Does the library offer training to faculty, students or other library patrons in Other programs? 64Table 10.1 Which phrase best describes your views on the library role in statistical package training? 65Table 10.2 Which phrase best describes your views on the library role in statistical package training? Broken out for public and private universities 65

Table 10.3 Which phrase best describes your views on the library role in statistical package training? Broken out by Carnegie class or type of institution 65Table 10.4 Which phrase best describes your views on the library role in statistical package training? Broken out by enrollment 66Table 10.5 Which phrase best describes your views on the library role in statistical package training? Broken out by tuition, $ 66Table 10.6 Which phrase best describes your views on the library role in statistical package training? Broken out for universities with and without a distinct line item in the library budget for data curation 66Table 11.1 Approximately what percentage of the research data projects that the library customarily deals with would you say concerns human subjects or are otherwise sensitive and confidential and require strict distribution monitoring? 67Table 11.2 Approximately what percentage of the research data projects that the library customarily deals with would you say concerns human subjects or are otherwise sensitive and confidential and require strict distribution monitoring? Broken out for public and private universities 67Table 11.3 Approximately what percentage of the research data projects that the library customarily deals with would you say concerns human subjects or are otherwise sensitive and confidential and require strict distribution monitoring? Broken out by Carnegie class

or type of institution 67Table 11.4 Approximately what percentage of the research data projects that the library customarily deals with would you say concerns human subjects or are otherwise sensitive and confidential and require strict distribution monitoring? Broken out by enrollment 68Table 11.5 Approximately what percentage of the research data projects that the library customarily deals with would you say concerns human subjects or are otherwise sensitive and confidential and require strict distribution monitoring? Broken out by tuition, $ 68Table 11.6 Approximately what percentage of the research data projects that the library customarily deals with would you say concerns human subjects or are otherwise sensitive and confidential and require strict distribution monitoring? Broken out for universities with and without a distinct line item in the library budget for data curation 68Table 12.1 Does the library encourage the deposit into institutional digital repositories data sets connected to or used for scholarly articles but which might not appear in the publications themselves? 69Table 12.2 Does the library encourage the deposit into institutional digital repositories data sets connected to or used for scholarly articles but which might not appear in the publications themselves? Broken out for public and private universities 69Table 12.3 Does the library encourage the deposit into institutional digital repositories data sets connected to or used for scholarly articles but which might not appear in the publications themselves? Broken out by Carnegie class or type of institution 69Table 12.4 Does the library encourage the deposit into institutional digital repositories data sets connected to or used for scholarly articles but which might not appear in the publications themselves? Broken out by enrollment 70Table 12.5 Does the library encourage the deposit into institutional digital repositories data sets connected to or used for scholarly articles but which might not appear in the publications themselves? Broken out by tuition, $ 70Table 12.6 Does the library encourage the deposit into institutional digital repositories data sets connected to or used for scholarly articles but which might not appear in the publications themselves? Broken out for universities with and without a distinct line item

in the library budget for data curation 71

Table 13.1 About what percentage of data intensive scholarly articles deposited into your institution's digital repository or subject specific repositories are accompanied for deposit

by data sets that may not themselves appear verbatim in the articles themselves? 72Table 13.2 About what percentage of data intensive scholarly articles deposited into your institution's digital repository or subject specific repositories are accompanied for deposit

by data sets that may not themselves appear verbatim in the articles themselves? Broken out for public and private universities 72Table 13.3 About what percentage of data intensive scholarly articles deposited into your institution's digital repository or subject specific repositories are accompanied for deposit

by data sets that may not themselves appear verbatim in the articles themselves? Broken out by Carnegie class or type of institution 72Table 13.4 About what percentage of data intensive scholarly articles deposited into your institution's digital repository or subject specific repositories are accompanied for deposit

by data sets that may not themselves appear verbatim in the articles themselves? Broken out by enrollment 73Table 13.5 About what percentage of data intensive scholarly articles deposited into your institution's digital repository or subject specific repositories are accompanied for deposit

by data sets that may not themselves appear verbatim in the articles themselves? Broken out by tuition, $ 73Table 13.6 About what percentage of data intensive scholarly articles deposited into your institution's digital repository or subject specific repositories are accompanied for deposit

by data sets that may not themselves appear verbatim in the articles themselves? Broken out for universities with and without a distinct line item in the library budget for data curation 73Table 14.1 Does your data services unit utilize some form of request management system that records and tracks data services requests by library patrons? 74Table 14.2 Does your data services unit utilize some form of request management system that records and tracks data services requests by library patrons? Broken out for public and private universities 74Table 14.3 Does your data services unit utilize some form of request management system that records and tracks data services requests by library patrons? Broken out by Carnegie class or type of institution 74Table 14.4 Does your data services unit utilize some form of request management system that records and tracks data services requests by library patrons? Broken out by

enrollment 74Table 14.5 Does your data services unit utilize some form of request management system that records and tracks data services requests by library patrons? Broken out by tuition, $ 75Table 14.6 Does your data services unit utilize some form of request management system that records and tracks data services requests by library patrons? Broken out for

universities with and without a distinct line item in the library budget for data curation 75

If your library has such a request management system please describe it below Broken out

by Carnegie Class 76Table 15.1 At your institution, for those scholars whose work requires data housing and preservation, about what percentage would you say seek out the library to perform these functions, and what percentage use their own means of data storage, sites such as Dropbox

or Google Drive, among others? 77Table 15.2 At your institution, for those scholars whose work requires data housing and preservation, about what percentage would you say seek out the library to perform these

functions, and what percentage use their own means of data storage, sites such as Dropbox

or Google Drive, among others? Broken out for public and private universities 77Table 15.3 At your institution, for those scholars whose work requires data housing and preservation, about what percentage would you say seek out the library to perform these functions, and what percentage use their own means of data storage, sites such as Dropbox

or Google Drive, among others? Broken out by Carnegie class or type of institution 77Table 15.4 At your institution, for those scholars whose work requires data housing and preservation, about what percentage would you say seek out the library to perform these functions, and what percentage use their own means of data storage, sites such as Dropbox

or Google Drive, among others? Broken out by enrollment 78Table 15.5 At your institution, for those scholars whose work requires data housing and preservation, about what percentage would you say seek out the library to perform these functions, and what percentage use their own means of data storage, sites such as Dropbox

or Google Drive, among others? Broken out by tuition, $ 78Table 15.6 At your institution, for those scholars whose work requires data housing and preservation, about what percentage would you say seek out the library to perform these functions, and what percentage use their own means of data storage, sites such as Dropbox

or Google Drive, among others? Broken out for universities with and without a distinct line item in the library budget for data curation 79What are the three most commonly used file formats by researchers at your institution? Broken out by Carnegie Class: 79What are the three second most commonly used file formats by researchers at your institution? Broken out by Carnegie Class: 80What are the three third most commonly used file formats by researchers at your

institution? Broken out by Carnegie Class: 81Table 16 Rate the extent of the library role in the following data management issues 82Table 16.1.1 Rate the extent of the library role in discovering data set databases 82Table 16.1.2 Rate the extent of the library role in discovering data set databases Broken out for public and private universities 82Table 16.1.3 Rate the extent of the library role in discovering data set databases Broken out by Carnegie class or type of institution 82Table 16.1.4 Rate the extent of the library role in discovering data set databases Broken out by enrollment 83Table 16.1.5 Rate the extent of the library role in discovering data set databases Broken out by tuition, $ 83Table 16.1.6 Rate the extent of the library role in discovering data set databases Broken out for universities with and without a distinct line item in the library budget for data curation 83Table 16.2.1 Rate the extent of the library role in developing metadata for data sets in institutional or departmental repositories 84Table 16.2.2 Rate the extent of the library role in developing metadata for data sets in institutional or departmental repositories Broken out for public and private universities 84Table 16.2.3 Rate the extent of the library role in developing metadata for data sets in institutional or departmental repositories Broken out by Carnegie class or type of institution 84Table 16.2.4 Rate the extent of the library role in developing metadata for data sets in institutional or departmental repositories Broken out by enrollment 85Table 16.2.5 Rate the extent of the library role in developing metadata for data sets in institutional or departmental repositories Broken out by tuition, $ 85

Table 16.2.6 Rate the extent of the library role in developing metadata for data sets in institutional or departmental repositories Broken out for universities with and without a distinct line item in the library budget for data curation 85Table 16.3.1 Rate the extent of the library role in archiving or housing data sets or related data databases 86Table 16.3.2 Rate the extent of the library role in archiving or housing data sets or related data databases Broken out for public and private universities 86Table 16.3.3 Rate the extent of the library role in archiving or housing data sets or related data databases Broken out by Carnegie class or type of institution 86Table 16.3.4 Rate the extent of the library role in archiving or housing data sets or related data databases Broken out by enrollment 87Table 16.3.5 Rate the extent of the library role in archiving or housing data sets or related data databases Broken out by tuition, $ 87Table 16.3.6 Rate the extent of the library role in archiving or housing data sets or related data databases Broken out for universities with and without a distinct line item

in the library budget for data curation 87Table 16.4.1 Rate the extent of the library role in assuring compliance with grant data management requirements 88Table 16.4.2 Rate the extent of the library role in assuring compliance with grant data management requirements Broken out for public and private universities 88Table 16.4.3 Rate the extent of the library role in assuring compliance with grant data management requirements Broken out by Carnegie class or type of institution 88Table 16.4.4 Rate the extent of the library role in assuring compliance with grant data management requirements Broken out by enrollment 89Table 16.4.5 Rate the extent of the library role in assuring compliance with grant data management requirements Broken out by tuition, $ 89Table 16.4.6 Rate the extent of the library role in assuring compliance with grant data management requirements Broken out for universities with and without a distinct line item in the library budget for data curation 89Table 16.5.1 Rate the extent of the library role in training researchers to use statistical, mathematical or scientific software 90Table 16.5.2 Rate the extent of the library role in training researchers to use statistical, mathematical or scientific software Broken out for public and private universities 90Table 16.5.3 Rate the extent of the library role in training researchers to use statistical, mathematical or scientific software Broken out by Carnegie class or type of institution 90Table 16.5.4 Rate the extent of the library role in training researchers to use statistical, mathematical or scientific software Broken out by enrollment 91Table 16.5.5 Rate the extent of the library role in training researchers to use statistical, mathematical or scientific software Broken out by tuition, $ 91Table 16.5.6 Rate the extent of the library role in training researchers to use statistical, mathematical or scientific software Broken out for universities with and without a distinct line item in the library budget for data curation 91Table 16.6.1 Rate the extent of the library role in training researchers in data

visualization techniques 92Table 16.6.2 Rate the extent of the library role in training researchers in data

visualization techniques Broken out for public and private universities 92Table 16.6.3 Rate the extent of the library role in training researchers in data

visualization techniques Broken out by Carnegie class or type of institution 92Table 16.6.4 Rate the extent of the library role in training researchers in data

visualization techniques Broken out by enrollment 93

Table 16.6.5 Rate the extent of the library role in training researchers in data

visualization techniques Broken out by tuition, $ 93Table 16.6.6 Rate the extent of the library role in training researchers in data

visualization techniques Broken out for universities with and without a distinct line item

in the library budget for data curation 93Table 16.7.1 Rate the extent of the library role in training academics in overall research data curation and management 94Table 16.7.2 Rate the extent of the library role in training academics in overall research data curation and management Broken out for public and private universities 94Table 16.7.3 Rate the extent of the library role in training academics in overall research data curation and management Broken out by Carnegie class or type of institution 94Table 16.7.4 Rate the extent of the library role in training academics in overall research data curation and management Broken out by enrollment 95Table 16.7.5 Rate the extent of the library role in training academics in overall research data curation and management Broken out by tuition, $ 95Table 16.7.6 Rate the extent of the library role in training academics in overall research data curation and management Broken out for universities with and without a distinct line item in the library budget for data curation 95Table 17.1 Has the library ever received an external grant to support activities in data curation? 96Table 17.2 Has the library ever received an external grant to support activities in data curation? Broken out for public and private universities 96Table 17.3 Has the library ever received an external grant to support activities in data curation? Broken out by Carnegie class or type of institution 96Table 17.4 Has the library ever received an external grant to support activities in data curation? Broken out by enrollment 96Table 17.5 Has the library ever received an external grant to support activities in data curation? Broken out by tuition, $ 97Table 17.6 Has the library ever received an external grant to support activities in data curation? Broken out for universities with and without a distinct line item in the library budget for data curation 97Broken out by Carnegie Class 98Describe some of the practices that your library follows in developing metadata practices for the proper classification and recall of data sets Broken out by Carnegie Class 99Table 18.1 About what percentage of the total staff time that your library spends on data management issues would you say is accounted for by the development of metadata and other cataloging issues? 100Table 18.2 About what percentage of the total staff time that your library spends on data management issues would you say is accounted for by the development of metadata and other cataloging issues? Broken out for public and private universities 100Table 18.3 About what percentage of the total staff time that your library spends on data management issues would you say is accounted for by the development of metadata and other cataloging issues? Broken out by Carnegie class or type of institution 100Table 18.4 About what percentage of the total staff time that your library spends on data management issues would you say is accounted for by the development of metadata and other cataloging issues? Broken out by enrollment 101Table 18.5 About what percentage of the total staff time that your library spends on data management issues would you say is accounted for by the development of metadata and other cataloging issues? Broken out by tuition, $ 101

Table 18.6 About what percentage of the total staff time that your library spends on data management issues would you say is accounted for by the development of metadata and other cataloging issues? Broken out for universities with and without a distinct line item in the library budget for data curation 101Which institutions do you most admire for their data curation efforts? Broken out by Carnegie Class: 102

3 The Carnegie Class of your college might best be described as:

A Community or 4-year college

B MA/PHD level college

8 Over the past two years has the amount of total staff time spent on data

management issues by your library to increase, decrease or stay about the same?

A One on one tutorials

B Formal classes

C Workshops or seminars

D Videos or web-based tutorials

E LibGuides

F Other (please specify)

12 Please describe in detail the library's best attended class, seminar and/or most used video or tutorial on data management issues

13 Does the university library offer a class or other specialized training in how to develop a DMP (data management plan) for the US National Science Foundation or other national body for countries other than the USA?

D Not very strong

E Very little interest

15 Which phrase best describes the coordination of data services offered by entities on your campus such as academic departments especially in engineering and the hard sciences, the Library, Information Technology, Office of Research and other centers concerned with data management

A Largely Uncoordinated

B Modest levels of Coordination

C Significant Levels of Coordination

D Very High Levels of Coordination and Significant Centralization

16 In addition to the library what other departments or entities have devoted

significant resources to data management issues?

17 Does the library offer training to faculty, students or other library patrons in any of the following statistical or science-related applications?

18 Which phrase best describes your views on the library role in statistical package training?

A Best left to others, the library should stay out of it

B The library can play a modest but supportive and coordinating role

C In fact, the library has a major role to play

19 Approximately what percentage of the research data projects that the library customarily deals with would you say concerns human subjects or are otherwise sensitive and confidential and require strict distribution monitoring?

20 Does the library encourage the deposit into institutional digital repositories data sets connected to or used for scholarly articles but which might not appear in the publications themselves?

A Yes, very much encouraged

B Suggested when appropriate

C Not really mentioned or particularly encouraged

21 About what percentage of data intensive scholarly articles deposited into your institution's digital repository or subject specific repositories are accompanied for deposit by data sets that may not themselves appear verbatim in the articles themselves?

22 Does your data services unit utilize some form of request management system that records and tracks data services requests by library patrons?

A Yes

B No

23 If your library has such a request management system please describe it below

24 At your institution, for those scholars whose work requires data housing and preservation, about what percentage would you say seek out the library to perform these functions, and what percentage use their own means of data storage, sites such as Dropbox or Google Drive, among others?

25 In order of frequency of use what are the three most commonly used file formats by researchers at your institution?

A Most Commonly Used

B Second Most Commonly Used

C Third Most Commonly Used

26 Rate the extent of the library role in the following data management issues

Library plays

a major role plans a role Library Library plays a modest

role

Library plays little role Library plays no role Discovering

27 Has the library ever received an external grant to support activities in data

curation?

A Yes

B No

28 If so, what is the sum total of the amount your library has ever received to develop

or support data curation efforts?

29 Describe some of the practices that your library follows in developing metadata practices for the proper classification and recall of data sets

30 About what percentage of the total staff time that your library spends on data management issues would you say is accounted for by the development of

metadata and other cataloging issues?

31 Which institutions do you most admire for their data curation efforts?

PARTICIPANTS LIST

A.T Still University Bucknell University Bursa Uludag University California Western School of Law City University of New York (CUNY)

Cleveland Clinic Colorado State University Haverford College Kutztown University Loyola Marymount University Macquarie University MGH Institute of Health Professions Missouri Valley College Northern Kentucky University Reed College Southwestern Oklahoma State University University of Gent Faculty of Economics and Business Administration

University of Illinois at Chicago University of Bath University of Maryland, College Park University of Reading Yakima Valley College

Characteristics of the Sample

Your college is:

Community or 4-year college 5

MA/PHD level college 8

Research University 9

Enrollment

# Less than 2000 7

Summary of Main Findings

How many, if any, full time equivalent positions at your library are dedicated largely

to data management?

Across the entire sample, respondents indicated a mean of 1.15 positions devoted largely

to data management Those with fewer FTE devoted to data management include:

community or 4-year colleges (mean 0.4); institutions with enrollment of 2000-10,000 (mean 0.71) or tuition less than $10,000 (mean 0.8) or more than $50,000 per year (mean 0.83); and institutions without a distinct line item in the library budget for data curation (mean 0.76) Those with more FTE devoted to data management include: research

universities (mean 1.88); institutions with enrollment greater than 10,000 (mean 1.5) or tuition between $24,000-50,000 per year (mean 1.83); and institutions with a distinct line item in the library budget for data curation (mean 3.33) Differences between public and private colleges were minimal

Over the past two years has the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same?

Overall, 35.36% of respondents said the amount of staff time spent on data management had stayed about the same over the past two years, 36.36% indicated it increased, and 27.27% indicated it increased significantly No respondents indicated it decreased or decreased significantly Institutions more likely to indicate that staff time increased or increased significantly include: private colleges (77.77%), community or 4-year colleges (80.00%), colleges with enrollments between 2000-10,000 (87.50%), and colleges with tuition of $24,000-50,000 per year (80.00%) Colleges with a line item in the library budget for data curation were most likely to indicate that staff time increased significantly (66.67%)

Over the next two years do you expect the amount of total staff time spent on data management issues by your library to increase, decrease or stay about the same?

Overall, 4.55% expected staff time spent on data management to decrease in the next two years, 27.27% expected it to stay about the same, 59.09% expected it to increase, and 9.09% expected it to increase significantly No respondents expected it to decrease significantly Those most likely to expect an increase include: private colleges (77.78%), community or 4-year colleges (100%), and colleges with enrollments of 2000-10,000 (87.50%) or tuition of $24,000-50,000 (80.00%) Institutions with a distinct line item in the library budget for data curation were least likely across all subgroups to expect staff time to increase (33.33%)

Does the library offer faculty advice on how to develop data management plans for grant proposals, journal publisher requirements or for personal use?

Overall, 59.09% of respondents offered faculty advice on developing data management plans, while 40.09% did not offer this service Respondents from the following institutions were more likely to indicate their library offered this service: research universities (66.67%), institutions with enrollment over 10,000 (85.71%), institutions with tuition

between $10,000-23,999 (66.67%), and institutions with a distinct line item in the library budget for data curation (66.67%)

Does the library have any series of tutorials, seminars, classes, videos or other formal means to train faculty in data manipulation, storage or management?

The table below summarizes responses across the entire sample The remainder of this section will discuss findings for each topic in more detail

One on one tutorials

Across the entire sample, 31.82% of respondents offered one-on-one tutorials to train faculty in data manipulation, storage, or management Institutions more likely to offer this service include: private colleges (44.44%), research universities (44.44%), institutions with enrollment between 2000-10,000 (37.50%), and institutions with tuition between

$24,000-50,000 (60.00%)

Formal classes

Only 4.55% of respondents indicated that their library offers formal classes to train faculty

in data manipulation, storage, or management The only institutions with respondents who indicated this service was offered are: public colleges (7.69%), research universities (11.11%), institutions with enrollment greater than 10,000 (14.29%), institutions with tuition between 10,000-23,999 (16.67%), and institutions without a distinct line item in the library budget for data curation (5.26%)

Workshops or seminars

Overall, 36.36% of respondents offered workshops or seminars to train faculty in data manipulation, storage, or management Those most likely to offer this service include: public colleges (46.15%), research universities (55.56%), and institutions with enrollment over 10,000 (57.14%) or tuition between $10,000-23,999 (66.67%)

Videos or web-based tutorials

Overall, 13.64% of respondents indicated that their library offered videos or web-based tutorials to train faculty in data manipulation, storage, or management The only

institutions with respondents who indicated this service was offered are: public colleges (23.08%), research universities (33.33%), institutions with enrollment over 10000 (42.86%), and institutions with tuition between $10,000-23,999 (50.00%) Institutions whose libraries included a distinct line item for data curation in the library budget were more likely to offer this service (33.33% vs 10.53% of those without a data curation line item)

LibGuides

Across the entire sample, 45.45% of respondents indicated their library offered LibGuides

to train faculty in data manipulation, storage, or management Those most likely to offer LibGuides include: private colleges (66.67%), community or 4-year colleges (60.00%), institutions with enrollment over 10,000 (57.14%), and institutions with tuition between

$24,000-50,000 (60.00%) or over $50,000 (66.67%)

Other activities

We asked respondents an open-ended question about other activities used to train faculty

We received four responses to this question Only 2 mentioned specific services; both of these referred to one-on-one and/or customized support provided on demand

Please describe in detail the library's best attended class, seminar and/or most used video or tutorial on data management issues

We received 15 responses to this question, 10 of which were something other than a generic no/unknown/not applicable The most common responses related to how to write

a data management plan and overall introductions to data management

Does the university library offer a class or other specialized training in how to develop

a DMP (data management plan) for the US National Science Foundation or other national body for countries other than the USA?

Overall, 13.64% of respondents indicated that their library offered training on developing data management plans Those most likely to do so include: public colleges (23.08%), research universities (22.22%), institutions with enrollment over 1000 (28.57%),

institutions with tuition between $10,000-23,999 (33.33%), and institutions with a distinct line item in the library budget for data curation (33.33%)

How strong is demand from your library patrons for data curation services from the library?

Across the entire sample, 18.19% of respondents indicated that demand was either strong

or very strong and growing, while 40.91% indicated interest is either not very strong or there is very little interest Respondents from the following types of institutions were most likely to indicate strong or very strong interest: research universities (33.33%), institutions with enrollment over 10,000 (28.58%), institutions with tuition over $50,000 (33.33%), and institutions with a distinct line item in the library budget for data curation (33.33%)

Which phrase best describes the coordination of data services offered by entities on your campus such as academic departments especially in engineering and the hard sciences, the Library, Information Technology, Office of Research and other centers concerned with data management

Overall, 86.36% of respondents indicated that data services were largely uncoordinated or modestly coordinated, while 13.64% indicated there were significant or very high levels of coordination Respondents from the following types of institutions were more likely to indicate efforts were uncoordinated or modestly coordinated: MA/PHD level colleges, institutions with enrollment between 2000-10,000, and institutions with tuition less than

$10,000; all of these institutions indicated efforts were uncoordinated or modestly coordinated Institutions more likely to indicate significant or very high levels of

coordination include: institutions with enrollment less than 2000 (28.57%) and

institutions with a distinct line item in the library budget for data curation (66.67%)

In addition to the library what other departments or entities have devoted significant resources to data management issues?

We received and categorized 14 responses to this question The table below lists all categories of responses mentioned more than once Note: some responses included more than one entity

Mentions

Research office/research support 5

Individual faculty/individual departments 4

Sponsored programs/grants and contracts 2

Does the library offer training to faculty, students or other library patrons in any of the following statistical or science-related applications?

The table below summarizes training offered on various applications:

R

Institutions with respondents indicating training in R are: public universities (30.77%), research universities (44.44%), institutions with enrollment over 10,000 (57.14%), and institutions with tuition between $10,000-23,999 (50.00%) or $24,000-50,000 (20.00%) 33.33% of institutions with a distinct line item in the library budget offered training in R, while 15.79% of those without a distinct line item did so

Python

Institutions with respondents indicating training in Python include: public universities (23.08%), research universities (33.33%), institutions with enrollment over 10000

(42.68%), and institutions with tuition less than $10,000 (20.00%) or $10,000-23,999 (33.33%) 33.33% of institutions with a distinct line item in the library budget offered training in Python, while 10.53% of those without a distinct line item did so

SPSS

Institutions with respondents indicating training in SPSS are: public universities (7.69%), research universities (11.11%), institutions with enrollment over 10000 (14.296%), institutions with tuition between $24,000-50,000 (20.00%), and institutions that do not have a distinct line item in the library budget for data curation (5.26%)

Other programs

We received 3 responses to this open-ended question The only applications specifically mentioned and not covered by previous questions were Git and GitHub

Library role in statistical package training

We asked respondents to choose a phrase that best described their views on the library role in statistical package training Across the entire sample, 31.82% said they thought the library has a major role, 50.00% thought the library has a modest role, and 13.64% thought the library should stay out of it Respondents from the following types of institutions were most likely to indicate the library has a major role: community or 4-year colleges (60.00%), institutions with enrollment less than 2000 (57.14%), and institutions with tuition over

$50,000 (66.67%)

Percentage of the research data projects that the library customarily deals with that concern human subjects or are otherwise sensitive and confidential and require strict distribution monitoring

The mean response across the entire sample was 31.67% Respondents from the following types of institutions indicated higher mean percentages of research concerning human subjects or other sensitive/confidential data: institutions with enrollment over 10,000 (mean 44%), and institutions with tuition between $10,000-23,999 (mean 43.75%) or

About what percentage of data intensive scholarly articles deposited into your

institution's digital repository or subject specific repositories are accompanied for

deposit by data sets that may not themselves appear verbatim in the articles

themselves?

Overall, the mean response to this question was 4% Respondents from the following types

of institutions had higher mean responses: research universities (mean 6%) and

institutions with enrollment over 10,000 (mean 6%) Respondents from the following

types of institutions indicated a mean of 0%: institutions with enrollment less than 2000,

institutions with tuition between $24,000-50,000, and institutions with a distinct line item

in the library budget for data curation

Does your data services unit utilize some form of request management system that

records and tracks data services requests by library patrons?

Across the entire sample, 22.73% of respondents indicated they used a request

management system to track data services requests Respondents from the following types

of institutions were most likely to do so: research universities (33.33%), institutions with

tuition between $10,000-23,999 (33.33%) or over $50,000 (33.33%), and institutions with

a distinct line item in the library budget for data curation (33.33%)

If your library has such a request management system please describe it below

We received 7 responses to this question, 4 of which provided a specific answer (i.e other

than no/not applicable or similar) Three of these indicated they use the library’s or

institution’s ticketing system (RT, LibAnswers, and TopDesk were mentioned specifically),

while the fourth uses a form filled out by librarians after each interaction

At your institution, for those scholars whose work requires data housing and

preservation, what percentage seek out the library to perform these functions vs

using other data storage?

Across the entire sample, a mean of 21.42% of respondents seek out the library to house

and preserve their data Respondents from the following types of institutions indicated

higher mean percentages: public institutions (mean 27.75%), research universities (mean

39.25%), institutions with enrollment over 10,000 (mean 31.40%), institutions with tuition

between $24,000-50,000 (50.00%), and institutions with a distinct line item in the library

budget for data curation (55.00%)

Commented [JC1]: Note: the data tables provide only

one mean I assumed this was the mean percentage that use the library rather than their own means of data storage and edited the header accordingly Please let me know if that is incorrect Also, you may want to edit the headers in the data tables as well so that the meaning of these numbers is clearer

Most common file formats used by researchers

We asked respondents to list the first, second, and third most common file formats used by researchers at their institutions Because of significant overlap between these questions and the small number of responses, responses were combined across the three questions and normalized for easier analysis The table below lists all file formats mentioned more than once

File format Mentions

Rate the extent of the library role in the following data management issues

Discovering data set databases

Overall, 50.00% of respondents indicated that the library plays a role or major role in discovering data set databases Respondents from the following types of institutions were more likely to indicate that the library has a role or major role in this area: community or 4-year colleges (60.00%), institutions with enrollment under 2000 (57.15%) or over 10,000 (57.15%), and institutions with tuition over $50,000 (83.33%) Among respondents from institutions with a line in the library budget for data curation, only 33.33% indicated the library has a role in this area, and none indicated that the library has a major role

Developing metadata for data sets in institutional or departmental repositories

Across the entire sample, 54.55% of respondents play a role or major role in developing metadata for data sets in institutional or departmental repositories Respondents from the following types of institutions were more likely to indicate that the library has a role or major role in this area: public colleges (61.54%), MA/PHD level colleges (62.50%), institutions with enrollment over 10,000 (71.43%), and institutions with tuition between

$10,000-23,999 (66.67%) Among respondents from institutions with a line in the library budget for data curation, only 33.33% indicated the library has a role in this area, and none indicated that the library has a major role

Archiving or housing data sets or related data databases

Overall, 27.28% of respondents indicated that the library has a role or major role in archiving or housing data sets or related data databases Respondents from the following types of institutions were more likely to indicate that the library has a role or major role in this area: public colleges (38.46%), research universities (55.55%), institutions with enrollment over 10,000 (57.14%), and institutions with tuition between $10,000-23,999 (50.00%)

Assuring compliance with grant data management requirements

Overall, 18.19% of respondents indicated that the library has a role or major role in assuring compliance with grant data management requirements Respondents from the following types of institutions were more likely to indicate that the library has a role or major role in this area: MA/PHD level colleges (25.00%), institutions with enrollment of 2000-10,000 (25.00%) or over 10,000 (28.57%), and institutions with tuition less than

$10,000 (40.00%) or $24,000-50,000 (40.00%) Among respondents from institutions with

a line in the library budget for data curation, none indicated that the library has a role or major role in this area

Training researchers to use statistical, mathematical or scientific software

Overall, only 4.55% of respondents have a role or major role in training researchers to use statistical, mathematic, or scientific software Respondents from the following types of institutions were the only ones to indicate that the library has a role or major role in this area: public colleges (7.69%), research universities (11.11%), institutions with enrollment under 2000 (14.29%), institutions with tuition over $50,000 (16.67%), and institutions that do not have a line in the library budget for data curation (5.26%)

Training researchers in data visualization techniques

Overall, 9.09% of respondents indicated that the library has a role or major role in training researchers in data visualization techniques Respondents from the following types of institutions were more likely to indicate that the library has a role or major role in this area: community or 4-year colleges (20.00%) and institutions with enrollment less than

2000 (28.57%)

Library role in training academics in overall research data curation and management

Across the entire sample, 31.82% of respondents indicated that the library has a role or major role in overall research data curation and management Respondents from the following types of institutions were more likely to indicate that the library has a role or major role in this area: MA/PHD level colleges (37.50%), institutions with enrollment of 2000-10,000 (37.50%), and institutions with tuition of $24,000-50,000 (40.00%)

Has the library ever received an external grant to support activities in data curation?

Overall, 13.64% of respondents indicated that their library had received an external grant

to support data curation activities Respondents from the following types of institutions were more likely to indicate that the library had received such a grant: community or 4-year colleges (40.00%), institutions with enrollment less than 2000 (28.57%), institutions with tuition over $50,000 (33.33%), and institutions with a line item in the library budget for data curation (33.33%)

Describe some of the practices that your library follows in developing metadata practices for the proper classification and recall of data sets

We received 10 responses to this open-ended question, six of which provided specific information that addressed the question Respondents mentioned using domain-specific controlled vocabularies, standards set by external repositories, and standards such as Dublin Core and DACS Two respondents indicated that metadata and other descriptive information is provided by submitters; one of these respondents noted they provide documentation, training, and customized support to help researchers submit their datasets

About what percentage of the total staff time that your library spends on data

management issues would you say is accounted for by the development of metadata and other cataloging issues?

The mean across the entire sample was 7.38% of data management staff time spent on developing metadata and other cataloging issues Respondent groups with higher means included those from: public colleges (mean 9.2%), research universities (mean 10.25%), institutions with enrollment over 10,000 (mean 10.25%), institutions with tuition between

$10,000-23,999 (mean 10.25%), and institutions without a library budget line for data curation (mean 8.29%)

Which institutions do you most admire for their data curation efforts?

We received 12 responses to this question, which mentioned a total of 22 unique

institutions The table below lists all institutions mentioned more than once

Institution Number of mentions

Cornell University 3

UK Data Service 3

University of Michigan 3

Johns Hopkins 2

Table 1.1 How many, if any, full time equivalent positions at your library are dedicated largely to data management?

Table 1.2 How many, if any, full time equivalent positions at your library are dedicated largely to data management? Broken out for public and private universities

Your college is: Mean Median Minimum Maximum

Table 1.3 How many, if any, full time equivalent positions at your library are dedicated largely to data management? Broken out by Carnegie class or type of institution

Enrollment Mean Median Minimum Maximum Less than 2000 1.29 1.00 0.00 4.00

More than 10000 1.50 1.25 0.00 3.00

Table 1.5 How many, if any, full time equivalent positions at your library are dedicated largely to data management? Broken out by tuition, $

Tuition, $ Mean Median Minimum Maximum Less than

Table 2.1 Over the past two years has the amount of total staff time spent on data management issues by your library to increase,

decrease or stay about the same?

Table 2.3 Over the past two years has the amount of total staff time spent on data management issues by your library to increase,

decrease or stay about the same? Broken out by Carnegie class or type of institution

Community or

4-year college

0.00% 0.00% 20.00% 40.00% 40.00% MA/PHD level

college 0.00% 0.00% 50.00% 25.00% 25.00% Research

University 0.00% 0.00% 33.33% 44.44% 22.22%

Table 2.4 Over the past two years has the amount of total staff time spent on data management issues by your library to increase,

decrease or stay about the same? Broken out by enrollment

Enrollment Decrease

Significantly Decrease Stay About the Same Increase Increase Significantly Less than 2000 0.00% 0.00% 42.86% 42.86% 14.29% 2000-10000 0.00% 0.00% 12.50% 25.00% 62.50% More than

10000 0.00% 0.00% 40.00% 0.00% 60.00% 10000-23999 0.00% 0.00% 50.00% 50.00% 0.00% 24000-50000 0.00% 0.00% 20.00% 40.00% 40.00% More than

Table 3.1 Over the next two years do you expect the amount of total staff time spent on data management issues by your library to

increase, decrease or stay about the same?

Table 3.3 Over the next two years do you expect the amount of total staff time spent on data management issues by your library to

increase, decrease or stay about the same? Broken out by Carnegie class or type of institution

Community or

4-year college 0.00% 0.00% 0.00% 80.00% 20.00% MA/PHD level

college

0.00% 0.00% 37.50% 50.00% 12.50% Research

University

0.00% 11.11% 33.33% 55.56% 0.00%

Table 3.4 Over the next two years do you expect the amount of total staff time spent on data management issues by your library to

increase, decrease or stay about the same? Broken out by enrollment

Enrollment Decrease

Significantly Decrease Stay About the Same Increase Increase Significantly Less than 2000 0.00% 14.29% 28.57% 42.86% 14.29% 2000-10000 0.00% 0.00% 12.50% 75.00% 12.50% More than

10000 0.00% 0.00% 40.00% 40.00% 20.00% 10000-

23999 0.00% 0.00% 33.33% 50.00% 16.67% 24000-

50000

0.00% 20.00% 0.00% 80.00% 0.00% More than

Table 4.1 Does the library offer to faculty advice on how to develop data management plans for grant proposals, journal publisher

requirements or for personal use?

The Carnegie Class of your

college might best be

described as:

Community or 4-year college 60.00% 40.00%

MA/PHD level college 50.00% 50.00%