Open for^BusinessResearch Data Services & Data Management Planning
Ryan SchryverWendt [email protected]
is our
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
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.
Funder Requirements
NSF Data Management PlansMandatory for all Applications
NIH Data SharingMandatory for $500K+in direct costs in
any single year
NOAA/NASA/OMBVaries, but setting the precedent…
Soon OSTP
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.”
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
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.
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
NSF DMP Content
1. Expected Data: types, physical/electronic collections, materials to be produced
2. 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, samples, and other research products, and for preservation of access to them