International Survey of Academic Library Data Curation Practices, 2019 Edition

  • ID: 4701529
  • Report
  • 100 pages
  • Primary Research Group
1 of 5

The 100-page report presents data on the data curation practices of 22 academic and research library data curation programs, primarily those of major research-oriented universities.  The study gives detailed data on personnel, staff time devoted to data curation, budgets, level of cooperation with library data plans by scholars, use of data request management systems, and the role of the library in data oriented facets of work such as discovering datasets, developing metadata for data sets, archiving data and other tasks.

The report also measures the use of plans to help scholars meet data requirements of journal publishers and funding agencies, as well as general information data literacy efforts to help train faculty in data manipulation, storage, retrieval and visualization, including data on use of tutorials, courses, videos, workshops and other means. Survey participants name their best attended or most used vehicle for teaching data management literacy, and comment on the degree of coordination on data management issues with other university or parent organization academic and administrative departments. The report also looks at the library role in training patrons in the use of statistical packages such as R and SAS, among others.

Just a few of the report’s many findings are that:

  • 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; for 36.36% it increased, and for 27.27% it increased significantly.
  • 13.64% of the institutions sampled offered library patrons videos or web-based tutorials on data curation or management.
  • 18.18% of libraries sampled offered patrons training in the statistical analysis package R.
  • Patrons estimated that a mean of 31.67% of the data projects that their libraries customarily deal with concern human subjects or are otherwise sensitive and confidential and require strict distribution monitoring.
READ MORE
Note: Product cover images may vary from those shown
2 of 5

THE QUESTIONNAIRE   
PARTICIPANTS LIST   
Characteristics of the Sample   
Summary of Main Findings   
How many, if any, full time equivalent positions at your library are dedicated largely to data management?   
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?   
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?   
Does the library offer faculty advice on how to develop data management plans for grant proposals, journal publisher requirements or for personal use?   
Does the library have any series of tutorials, seminars, classes, videos or other formal means to train faculty in data manipulation, storage or management?   
One on one tutorials   
Formal classes   
Workshops or seminars   
Videos or web-based tutorials   
LibGuides   
Other activities   
Please describe in detail the library's best attended class, seminar and/or most used video or tutorial on data management issues   
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?   
How strong is demand from your library patrons for data curation services from the library?   
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.   
In addition to the library what other departments or entities have devoted significant resources to data management issues?   
Does the library offer training to faculty, students or other library patrons in any of the following statistical or science-related applications?   
Excel   
R   
Python   
SPSS   
Other programs   
Library role in statistical package training   
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   
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?   
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?   
Does your data services unit utilize some form of request management system that records and tracks data services requests by library patrons?   
If your library has such a request management system please describe it below.   
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?   
Most common file formats used by researchers   
Rate the extent of the library role in the following data management issues   
Discovering data set databases   
Developing metadata for data sets in institutional or departmental repositories   
Archiving or housing data sets or related data databases   
Assuring compliance with grant data management requirements   
Training researchers to use statistical, mathematical or scientific software   
Training researchers in data visualization techniques   
Library role in training academics in overall research data curation and management   
Has the library ever received an external grant to support activities in data curation?   
Describe some of the practices that your library follows in developing metadata practices for the proper classification and recall of data sets   
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?   
Which institutions do you most admire for their data curation efforts?   

List of Tables
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   
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   
Table 1.4 How many, if any, full time equivalent positions at your library are dedicated largely to data management? Broken out by enrollment   
Table 1.5 How many, if any, full time equivalent positions at your library are dedicated largely to data management? Broken out by tuition, $   
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   
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 2.2 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   
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   
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   
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, $   
Table 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   
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 3.2 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   
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   
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   
Table 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, $   
Table 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   
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?   
Table 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   
Table 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   
Table 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   
Table 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, $   
Table 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   
Table 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)   
Table 5.1.1 Does the library have one on one tutorials to train faculty in data manipulation, storage or management?   
Table 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   
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   
Table 5.1.4 Does the library have one on one tutorials to train faculty in data manipulation, storage or management?  Broken out by enrollment   
Table 5.1.5 Does the library have one on one tutorials to train faculty in data manipulation, storage or management?  Broken out by tuition, $   
Table 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   
Table 5.2.1 Does the library have formal classes to train faculty in data manipulation, storage or management?   
Table 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   
Table 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   
Table 5.2.4 Does the library have formal classes to train faculty in data manipulation, storage or management?  Broken out by enrollment   
Table 5.2.5 Does the library have formal classes to train faculty in data manipulation, storage or management?  Broken out by tuition, $   
Table 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   
Table 5.3.1 Does the library have workshops or seminars to train faculty in data manipulation, storage or management?   
Table 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   
Table 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   
Table 5.3.4 Does the library have workshops or seminars to train faculty in data manipulation, storage or management?  Broken out by enrollment   
Table 5.3.5 Does the library have workshops or seminars to train faculty in data manipulation, storage or management?  Broken out by tuition, $   
Table 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   
Table 5.4.1 Does the library have videos or web-based tutorials to train faculty in data manipulation, storage or management?   
Table 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   
Table 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   
Table 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   
Table 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, $   
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   
Table 5.5.1 Does the library have LibGuides to train faculty in data manipulation, storage or management?   
Table 5.5.2 Does the library have LibGuides to train faculty in data manipulation, storage or management?  Broken out for public and private universities   
Table 5.5.3 Does the library have LibGuides to train faculty in data manipulation, storage or management?  Broken out by Carnegie class or type of institution   
Table 5.5.4 Does the library have LibGuides to train faculty in data manipulation, storage or management?  Broken out by enrollment   
Table 5.5.5 Does the library have LibGuides to train faculty in data manipulation, storage or management?  Broken out by tuition, $   
Table 5.5.6 Does the library have LibGuides 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   
Does the library have other activities to train faculty in data manipulation, storage or management?   
Please 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:   
Table 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?   
Table 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   
Table 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   
Table 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   
Table 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, $   
Table 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   
Table 7.1 How strong is demand from your library patrons for data curation services from the library?   
Table 7.2 How strong is demand from your library patrons for data curation services from the library? Broken out for public and private universities   
Table 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   
Table 7.4 How strong is demand from your library patrons for data curation services from the library? Broken out by enrollment   
Table 7.5 How strong is demand from your library patrons for data curation services from the library? Broken out by tuition, $   
Table 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   
Table 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.   
Table 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   
Table 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   
Table 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   
Table 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, $   
Table 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   
In addition to the library what other departments or entities have devoted significant resources to data management issues? Broken out by Carnegie Class:   
Table 9 Does the library offer training to faculty, students or other library patrons in any of the following statistical or science-related applications?   
Table 9.1.1 Does the library offer training to faculty, students or other library patrons in STATA?   
Table 9.2.1 Does the library offer training to faculty, students or other library patrons in Minitab?   
Table 9.3.1 Does the library offer training to faculty, students or other library patrons in SPSS?   
Table 9.3.2 Does the library offer training to faculty, students or other library patrons in SPSS? Broken out for public and private universities   
Table 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   
Table 9.3.4 Does the library offer training to faculty, students or other library patrons in SPSS? Broken out by enrollment   
Table 9.3.5 Does the library offer training to faculty, students or other library patrons in SPSS? Broken out by tuition, $   
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   
Table 9.4.1 Does the library offer training to faculty, students or other library patrons in SAS?   
Table 9.5.1 Does the library offer training to faculty, students or other library patrons in R?   
Table 9.5.2 Does the library offer training to faculty, students or other library patrons in R? Broken out for public and private universities   
Table 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   
Table 9.5.4 Does the library offer training to faculty, students or other library patrons in R? Broken out by enrollment   
Table 9.5.5 Does the library offer training to faculty, students or other library patrons in R? Broken out by tuition, $   
Table 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   
Table 9.6.1 Does the library offer training to faculty, students or other library patrons in Python?   
Table 9.6.2 Does the library offer training to faculty, students or other library patrons in Python? Broken out for public and private universities   
Table 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   
Table 9.6.4 Does the library offer training to faculty, students or other library patrons in Python? Broken out by enrollment   
Table 9.6.5 Does the library offer training to faculty, students or other library patrons in Python? Broken out by tuition, $   
Table 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   
Table 9.7.1 Does the library offer training to faculty, students or other library patrons in Excel?   
Table 9.7.2 Does the library offer training to faculty, students or other library patrons in Excel? Broken out for public and private universities   
Table 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   
Table 9.7.4 Does the library offer training to faculty, students or other library patrons in Excel? Broken out by enrollment   
Table 9.7.5 Does the library offer training to faculty, students or other library patrons in Excel? Broken out by tuition, $   
Table 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   
Does the library offer training to faculty, students or other library patrons in Other programs?   
Table 10.1 Which phrase best describes your views on the library role in statistical package training?   
Table 10.2 Which phrase best describes your views on the library role in statistical package training? Broken out for public and private universities   
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   
Table 10.4 Which phrase best describes your views on the library role in statistical package training? Broken out by enrollment   
Table 10.5 Which phrase best describes your views on the library role in statistical package training? Broken out by tuition, $   
Table 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   
Table 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?   
Table 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   
Table 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   
Table 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   
Table 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, $   
Table 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   
Table 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?   
Table 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   
Table 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   
Table 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   
Table 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, $   
Table 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   
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?   
Table 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   
Table 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   
Table 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   
Table 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, $   
Table 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   
Table 14.1 Does your data services unit utilize some form of request management system that records and tracks data services requests by library patrons?   
Table 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   
Table 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   
Table 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   
Table 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, $   
Table 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   
If your library has such a request management system please describe it below. Broken out by Carnegie Class   
Table 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?   
Table 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   
Table 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   
Table 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   
Table 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, $   
Table 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   
What are the three most commonly used file formats by researchers at your institution? Broken out by Carnegie Class:   
What are the three second most commonly used file formats by researchers at your institution? Broken out by Carnegie Class:   
What are the three third most commonly used file formats by researchers at your institution? Broken out by Carnegie Class:   
Table 16 Rate the extent of the library role in the following data management issues   
Table 16.1.1 Rate the extent of the library role in discovering data set databases   
Table 16.1.2 Rate the extent of the library role in discovering data set databases Broken out for public and private universities   
Table 16.1.3 Rate the extent of the library role in discovering data set databases Broken out by Carnegie class or type of institution   
Table 16.1.4 Rate the extent of the library role in discovering data set databases Broken out by enrollment   
Table 16.1.5 Rate the extent of the library role in discovering data set databases Broken out by tuition, $   
Table 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   
Table 16.2.1 Rate the extent of the library role in developing metadata for data sets in institutional or departmental repositories   
Table 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   
Table 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   
Table 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   
Table 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, $   
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   
Table 16.3.1 Rate the extent of the library role in archiving or housing data sets or related data databases   
Table 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   
Table 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   
Table 16.3.4 Rate the extent of the library role in archiving or housing data sets or related data databases Broken out by enrollment   
Table 16.3.5 Rate the extent of the library role in archiving or housing data sets or related data databases Broken out by tuition, $   
Table 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   
Table 16.4.1 Rate the extent of the library role in assuring compliance with grant data management requirements   
Table 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   
Table 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   
Table 16.4.4 Rate the extent of the library role in assuring compliance with grant data management requirements Broken out by enrollment   
Table 16.4.5 Rate the extent of the library role in assuring compliance with grant data management requirements Broken out by tuition, $   
Table 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   
Table 16.5.1 Rate the extent of the library role in training researchers to use statistical, mathematical or scientific software   
Table 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   
Table 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   
Table 16.5.4 Rate the extent of the library role in training researchers to use statistical, mathematical or scientific software Broken out by enrollment   
Table 16.5.5 Rate the extent of the library role in training researchers to use statistical, mathematical or scientific software Broken out by tuition, $   
Table 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   
Table 16.6.1 Rate the extent of the library role in training researchers in data visualization techniques   
Table 16.6.2 Rate the extent of the library role in training researchers in data visualization techniques Broken out for public and private universities   
Table 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   
Table 16.6.4 Rate the extent of the library role in training researchers in data visualization techniques Broken out by enrollment   
Table 16.6.5 Rate the extent of the library role in training researchers in data visualization techniques Broken out by tuition, $   
Table 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   
Table 16.7.1 Rate the extent of the library role in training academics in overall research data curation and management   
Table 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   
Table 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   
Table 16.7.4 Rate the extent of the library role in training academics in overall research data curation and management Broken out by enrollment   
Table 16.7.5 Rate the extent of the library role in training academics in overall research data curation and management Broken out by tuition, $   
Table 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   
Table 17.1 Has the library ever received an external grant to support activities in data curation?   
Table 17.2 Has the library ever received an external grant to support activities in data curation? Broken out for public and private universities   
Table 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   
Table 17.4 Has the library ever received an external grant to support activities in data curation? Broken out by enrollment   
Table 17.5 Has the library ever received an external grant to support activities in data curation? Broken out by tuition, $   
Table 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   
Broken out by Carnegie Class   
Describe 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   
Table 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?   
Table 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   
Table 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   
Table 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   
Table 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, $   
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   
Which institutions do you most admire for their data curation efforts? Broken out by Carnegie Class:   

Note: Product cover images may vary from those shown
3 of 5

Loading
LOADING...

4 of 5
  • 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
  • UIC
  • University of Bath
  • University of Maryland, College Park
  • University of Reading
  • Yakima Valley College
Note: Product cover images may vary from those shown
5 of 5
Note: Product cover images may vary from those shown
Adroll
adroll