2. A document that describes what you will do
with your data during your research & after
you complete your project
What is a data management plan?
From Flickr by spanaut
A natural fit with
interests in open
science and
reproducibility of
research.
4. DMP supplement may include:
1. the types of data, samples, physical collections, software, curriculum
materials, 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
(where existing standards are absent or deemed inadequate, this should
be documented along with any proposed solutions or remedies)
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
NSF DMP Requirements
From Grant Proposal Guidelines:
5. NSF’s Vision*
DMPs and their evaluation will grow & change over
time (similar to broader impacts)
Peer review will determine next steps
Community-driven guidelines
Different disciplines have different definitions of acceptable
data sharing
Flexibility at the directorate and division levels
Tailor implementation of DMP requirement
Evaluation will vary with directorate, division, &
program officer
*Unofficially
Help from Jennifer Schopf, NSF
6. Challenge
Researchers don’t know the necessary things
to meet these new requirements
Institutions are on the hook to ensure
compliance
Proper compliance involves integration of
many things (ie. Standards, policies, practices,
infrastructure, etc.)
Huge funding at stake
7. DMPTool:
Data management planning made EASIER
Data management is complex and requires a
dialogue amongst many stakeholders
There’s a range of understanding and
available support resources
DMPTool focus is on:
simplifying and scaling the common parts,
developing a community, and
providing functionality and integration with other
tools to advance services when possible
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18. Access
Added to campus single sign-on service
InCommon / Shibboleth
Researchers use campus login
19. Funder Requirements
Supported
Gordon and Betty Moore
Foundation
IMLS
NEH – Office of Digital
Humanities
NIH
NOAA
NSF – General
NSF - Astronomical Sciences
NSF - Atmospheric and
Geospace Sciences
NSF - Biological Sciences
NSF – Chemistry
NSF – Computer and
Information Science and
Engineering
NSF – Earth Sciences
NSF – Education and Human
Resources
NSF – Emerging Frontiers in
Research and Innovation
NSF – Engineering
NSF – Materials Research
NSF – Social, Behavioral and
Economic
NSF - Physics
20. New Areas of Functionality in
2013
Granular
modeling of plan
templates
Granular
modeling of
institutions
Role-based user
authorization
DMP life cycle
management
Organizational
planning
activities
Enhanced
search and
browse
Institutional
branding
Search and
reporting for
business
intelligence
Advanced
administrative
interface
Collaborative
plan creation
Open API
23. What we need from you…
New use cases
Opportunities to integrate with other relevant
tools
Partnership on development of API
requirements during 2013 project push
24. Thank you!
Please contact me at any time with ideas or
opportunities:
Andrew Sallans
als9q@virginia.edu
434-243-2180
Twitter: asallans
Notes de l'éditeur
Federal Funding Accountability Transparency Act was passed in 2006, which ensures that the public can access information on all entities and organizations receiving Federal funds [National Institutes of Health, which began requiring data management plans for large grant proposals. Several government funders have since followed suit, including the National Science Foundation (NSF), National Oceanic and Atmospheric Administration (NOAA), U.S. Department of Agriculture (USDA), the Environmental Protection Agency (EPA)