1. NSF DATA POLICIES:
A VERY BRIEF
INTRODUCTION
Fe b ru a ry 29, 2012

2. OVERVIEW
1. Introduction & Context
2. NSF Policies
3. Research support @ IUPUI

3. WHY THE LIBRARY?
Trusted member of the institution
Organizational structure lends itself to
collaboration with researchers
Existing expertise in making available and
preserving information
 Program of Digital Scholarship
Existing infrastructure
Preservation, curation, and access

4. UL DATA SERVICES PROGRAM
 Services
 Workshops
 Individual consultations
 Data repository
 Resources
 Guide to NSF Data Management Plan Requirement
 Website
 Sample NSF DMP from other institutions
 Tools
 Guidance from institutions like the ICPSR and Digital Curation Centre (UK)
 Significant publications discussing data management and curation
 Open datasets and data repositories

5. CONTEXT OF THE NSF DATA POLICIES
 Driver – greater impact of research dollars
 Context = scholarly communications
 Encouraging two separate types of activities
 Data management & curation
 Data sharing
 Scholarly impact: greater exposure, facilitates
reproducibility, facilitates new discoveries via
secondary analysis/data re-use, fosters productive
collaborations, leads to new computational techniques
 Planning ahead 5, 50, 100 years – preservation,
persistent access
 If you can’t find it, it doesn’t exist

6. POLICY ON DISSEMINATION & SHARING [1]
 …promptly prepare and submit for publication, with authorship
that accurately reflects the contributions of those involved, all
significant findings from work conducted under NSF grants
 …expected to share with other researchers, at no more than
incremental cost and within a reasonable time, the primary
data, samples, physical collections and other supporting
materials created or gathered in the course of work under NSF
grants…expected to encourage and facilitate such sharing.
Privileged or confidential information should be released only in
a form that protects the privacy of individuals and subjects
involved. General adjustments and, where essential, exceptions
to this sharing expectation may be specified by the funding NSF
Program or Division/Office for a particular field or discipline…

7. POLICY ON DISSEMINATION & SHARING [2]
 Investigators and grantees are encouraged to share software and
inventions created under the grant or otherwise make them or
their products widely available and usable .
 NSF normally allows grantees to retain principal legal rights to
intellectual property developed under NSF grants to provide
incentives for development and dissemination of inventions,
software and publications that can enhance their usefulness,
accessibility and upkeep. Such incentives do not, however,
reduce the responsibility that investigators and organizations
have as members of the scientific and engineering community,
to make results, data and collections available to other
researchers.

8. POLICY ON DISSEMINATION & SHARING [3]
 NSF program management will implement these policies for
dissemination and sharing of research results, in ways
appropriate to field and circumstances, through the proposal
review process; through award negotiations and conditions; and
through appropriate support and incentives for data cleanup,
documentation, dissemination, storage and the like.

9. NSF DMP REQUIREMENT
 the types of data, samples, physical collections, software,
curriculum materials, and other materials to be produced in the
course of the project;
 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);
 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; and
 plans for archiving data, samples, and other research products,
and for preservation of access to them .
http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/gpg_2.jsp#dmp

10. NSF DMP: OVERVIEW
 Should reflect
 Awareness of data management and curation in your discipline
 Feasible plan to utilize available cyberinfrastructure
 Throughout the DMP, try to
 Explain the rationale for your choices
 Identify roles for data management and curation activities
 Implementation costs of the DMP CAN be included in
direct costs

11. DMP: DATA, STANDARDS, & METADATA
Utilize standards common within your discipline/community
 Data & standards
 Characterize the data to be generated or used
 How will these characteristics impact storage, management, and
processing?
 What is the backup and security plan?
 Describe data & project documentation
 Metadata & standards
 Will your data be self-explanatory or understandable in isolation?
 Types of metadata
 Descriptive (for findability, context, etc.)
 Structural (for things like geospatial files)
 Administrative (for preservation)

12. DMP: ACCESS & SHARING
 How and when will data be made available?
 What is the process for gaining access?
 Ethical or legal issues such as privacy, confidentiality,
security, intellectual property, or other rights?
 Limits or conditions placed on sharing for political,
commercial, or patent reasons?

13. DMP: RE-USE, DISTRIBUTION, ETC.
 Policies & permissions
 Will permission restrictions be necessary?
 What rights will you retain before data is made available?
 Is there an embargo period?
 Re-use
 Who is likely to be interested in this data?
 How might you anticipate this data being used?
 What value might the data have for these people?

14. DMP: LONG-TERM PRESERVATION
 Researcher ’s role
 Selection of data for preservation
 How long do you think the data will be useful?
 What data will be preserved for the long -term?
 Transformations necessary to prepare data for preservation?
 data cleaning, de-identification, etc.
 Contextual information to make the data reusable
 metadata, documentation, references, reports, manuscripts, grant proposal,
etc.
 Data repository ’s role
 Links to published materials and other outcomes?
 Use of persistent citation?
 Procedures for preservation and back-up?
 Access mechanisms

15. RESEARCH @ IUPUI
P ro gram o f D i g i ta l Sc h o l a rshi p: htt p :/ / ul ib.i upui .e du/di gi tal sc hol arshi p
C e nte r fo r Re s e a rc h & L e a r n ing: htt p :/ /c rl.i upui .e du /
OVC R : htt p ://res earc h.iupu i.e du/ deve lop me nt/
O ff i c e o f Aca d e m i c Affa i rs : htt p :/ /www. acade mi caffai rs.i upui .e du
I nte ll e ct ual P ro p e r ty Po l i c y : htt ps :/ /www. i ndi ana.e du/~ vpfaa /
a ca de m i cgui de /i ndex .php /Pol i cy_ I - 1 1
Re s e a rch Fi l e Syste m : htt p :// pt i.i u.e du/storage / rfs
Sc h o l arl y D ata Arc h i ve : htt p :/ /pti .iu.e du/sto rage /sda
Re s e a rch Te c h n o l ogie s , U I TS: htt p :/ / u its .iu.e du/ page /ave l
C o re Se r vi c e s , U I TS: htt p :/ /pti.i u.e du/c s
Sc h o l arl y C y b e r i nf rast ruc ture , U I TS: htt p :/ /ui ts.i u.e du/ page /am e e
I U Wa re : htt ps :/ / i uware .i u.e d u
I U a nyWare : htt ps :/ / iuanyware .i u.e du/vpn/ in dex.htm l
Stat M ath : htt p :// www. i ndiana.e du/ ~ statm ath/
Stat i sti cs C o n s u lti ng C e nte r : htt p :/ / www. math.i upui.e du /asc i /

16. CONTACT INFORMATION
Heather Coates
Digital Scholarship & Data Management Librarian
University Library
Email: hcoates@iupui.edu
Phone: 317-278-7125
Web: http://ulib.iupui.edu/digitalscholarship/dataservices

17. UPCOMING WORKSHOP
Meeting the NSF Data Management Plan
Requirement: What you need to know
March 7, 2012 @ 2:00pm, UL 1116
Register online at:
http://events.iupui.edu/event/?event_id=6064