Open for ^ Business

1. is our Open for^Business Research Data Services & Data Management Planning Ryan Schryver Wendt Commons schryver@engr.wisc.edu

2. Research Data Servicesresearchdata.wisc.edu • Our Goal: Aid UW-Madison researchers in their efforts to preserve, maintain, and share their data • Interdisciplinary • Data management is our day job • What we do: • Data management plans – help draft or review • Consultations – policies, development, best practices • Training and education • Referral – local/national/disciplinary resources

3. Why Manage Data? • Ensure research integrity and replication. • Ensure research data are accurate and reliable. • Increase efficiency. • Save time and resources in the long run. • Enhance data security and minimize the risk of data loss. • Prevent duplication of effort by enabling others to use your data. • Meet funding grant requirements.

4. Funder Requirements NSF Data Management Plans Mandatory for all Applications NIH Data Sharing Mandatory for $500K+in direct costs in any single year NOAA/NASA/OMB Varies, but setting the precedent… Soon OSTP

5. OSTP– What it says • Released February 2013. • All federal agencies with $100M+ in R&D to develop plans to increase public access to research results and data. • ROI: “maximize the impact and accountability of the Federal research investment.” -- “Innovation” and “Validity.”

6. Elements of a Public Access Plan for Scientific Data* • Maximize access • Protect confidentiality and privacy • Preserve intellectual property rights and commercial interests • Balance demands of long-term preservation and access • Use of data management plans • Include cost of data management in funding proposals • Evaluate DMPs • Ensure researcher compliance with DMPs • Promote public deposit of data • Private-sector cooperation to improve access • Mechanisms for identification & attribution of data • Data stewardship workforce development • Long-term support for repository development *Used with permission of ICPSR

7. What is a DMP? • Document that outlines how you will handle data (and description of that data) during AND after research is complete. • States what data will be created and how, and outlines the plans for sharing and preservation. • Justifies why access or sharing is limited.

8. Example: NSF Data Management Plan • Started January 2011 for NEW proposals. • Blueprint for data retention and sharing. • Not voluntary – “integral part” of NSF proposal and FastLane. • Factual material (physical or digital) necessary to validate findings Data is expected to “explain and defend results.” • Standards determined by “Community of Interest.” Source: Special Information and Supplementary Documentation, http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/gpg_2.jsp#IIC2j

9. NSF DMP Content • Expected Data: types, physical/electronic collections, materials to be produced • Standardsto be used for data and metadata format and content • Policies for access and sharing including provisions for appropriate protection of privacy, confidentiality, security, intellectual property, or other rights or requirements • Policies and provisions for re-use, re-distribution, and the production of derivatives • Plans for archiving data, samples, and other research products, and for preservation of access to them

10. Ryan Schryver schryver@engr.wisc.edu Research Data Services http://researchdata.wisc.edu