1. Data Management & the Library

2. FACT #1 Research is increasingly digital and produces digital data.

3. 90% Of all the data in the world was created in the last 3 years. FACT #2

4. FACT #3 Major funders currently (or will soon) require Data Management Plans to receive funding.

5. Researchers Data Managers/ Library Services Question: How do we adapt?

6. Data Management Ecosystem

7. CSU’s Institutional repository

8. Example data http://hdl.handle.net/10217/77676

9. EXAMPLE DATA

10. What counts as data?

11. ModelsCode Photographs/Videos Laboratory Notebooks

12. Globus Local File Storage Central File Storage RESEARCH NETWORK Ultra High Speed Controlled File Sharing OPEN ACCESS REPOSITORY Open Data Metadata Local File Storage Central File Storage CSU User Firewall INTERNET CAMPUS NETWORK 10 Gb Per Second

13. Data Management Plans 1.Types of data, software and other materials to be produced in the course of the project 2.The standards to be used for data and metadata format and content 3.Policies for access and sharing including provisions for appropriate protection of privacy, confidentiality, security, intellectual property, or other rights or requirements 4.Policies and provisions for re-use, re-distribution, and the production of derivatives 5.Plans for archiving data and other research products and for preservation of/access to them

14. Data Management Plans 1.Identify responsible parties for data management (Project Manager) 2.Identify all terms and conditions of data transfer and stewardship 3.Change control (hardware, software, data) 4.“Relevant Documents” (Mission operations plans, instrument info) 5.Project Overview: objectives, summaries, etc. 6.Project Data Flow (logical models, workflow diagrams, timelines) 7.Acronyms 8.Other considerations: infrastructure of source, infrastructure requirements of user community, data citation, rights, ownership

15. QUESTIONS? Shea Swauger Data Management Librarian Morgan Library, 210 E shea.swauger@colostate.edu 970-491-5785