1. Easy Ways to Support Campus Data Needs
Data Decoded
Easy Ways to Support
Campus Data Needs
Michelle Barron-Lutzross, MLIS
bepress Consulting Services

2. DATA PIONEERS
Source:

3. Context for Data on Campus
What kinds of data are faculty gathering?
What areas do faculty need help with?
What is a “typical” data project?

4. Common File Extensions
“Please select, and/or list, the file extensions you have produced, or anticipate producing,
with your research.”

5. Common File Sizes
Table: Van Tuyl, S. & Michalek, G. (2015). Assessing research data management practices of faculty at Carnegie Mellon University. Journal of Librarianship and Scholarly Communication, 3(3), eP1258.

6. Finding Research Data

7. Reach Out
Office of
Sponsored
Programs
Office of Research
Library

8. Reach Out Office of Sponsored Office of Research Programs Library
Graduate Research Services
Subject Librarians IT

9. What Data Services Do You Provide?
Data Management Plans
Advising on Disciplinary Repositories
Advising on Metadata
House Data on Institutional Repository

10. Integrated Data Program
Meeting campus needs and grant requirements
Assign DOIs
Have detailed policies and guidelines

11. Integrated Data Program

12. Three Common Needs Data related to an article (or monograph)
Supporting grant requirements
Project-related data

13. Data related to Article or Monograph

14. Data related to Article or Monograph
NSF grant data sharing mandate
Data sharing encouraged by publisher
Link to formal publication

15. Supporting Grant Requirements
IMLS data sharing mandate
Connected to related scholarship
Complete archive of project

16. Supporting Grant Requirements
Funder mandate
Desire for data reuse
Detailed metadata
Multiple scans available in one record

17. Project Specific Data Contributes to international study
Desire for data reuse
Citation and contact guidelines

18. Project Specific Data Organization that molds to project architecture
Searchable archive
Variety of files types

19. Data Needs are Campus Wide

20. Showcasing Departmental and Institutional Data

21. Showcase Departmental/Institutional Data

22. Showcase Departmental/Institutional Data

23. Showcase Departmental/Institutional Data

24. Other Types of Data

25. Data Can Have A Variety Of Forms

26. Data Can Have A Variety Of Forms

27. Visualization

28. Considerations for Publishing Data
Citable
stable URL, DOI
Findable
high search engine visibility
Reusable
flexible metadata, published in context

29. Considerations for Publishing Data
Storage
unlimited storage, flexible file types
Stewardship
library and institutional investment

30. METADATA FOR DATASETS

31. Getting Started
Don’t let defining a larger program keep you from meeting immediate needs
Common data sets are in file sizes and formats you likely already support
Create pilot programs in certain subjects or graduate work
Approach faculty at common points of intervention
When publishing data, consider organization and promotion
Learn more about how offices on campus fit together
Find data in your archives and special collections, or in centers and institutes on campus

32. Works Cited
Chatterji, P. (2015). Meeting data needs on today's campus: The Digital Commons Data Pioneers report. Available at:
Cox, A.M., Verbaan, E., & Sen, B. (2014). "A spider, an octopus, or an animal just coming into existence? Designing a curriculum for librarians to support research data management. Journal of eScience Librarianship, 3(1), e
Kratz, J.E., & Strasser, C. (2015). Researcher perspectives on publication and peer review of data. PLoS ONE, 10(2), e
Rozum, B. & Thoms, B.L. (2016). A match made in data heaven: Libraries partnering with the office of research. bepress community webinars.
Van Tuyl, S. & Michalek, G. (2015). Assessing research data management practices of faculty at Carnegie Mellon University. Journal of Librarianship and Scholarly Communication. 3(3), eP
Yoon, A., & Schultz, T. (2017). Research data management services in academic libraries in the US: A content analysis of libraries’ websites. College & Research Libraries, 0.

33. For more data resources:
Thank you!
For more data resources:
Questions: