Open for^BusinessResearch Data Services & Data Management Planning

Ryan SchryverWendt Commonsschryver@engr.wisc.edu

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 Sharing

Mandatory 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

Ryan Schryverschryver@engr.wisc.edu

Research Data Services

http://researchdata.wisc.edu