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NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
NSF Data Policies webcast February 29, 2012
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NSF Data Policies webcast February 29, 2012

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  • 1. NSF DATA POLICIES:A VERY BRIEFINTRODUCTION Fe b ru a ry 29, 2012
  • 2. OVERVIEW1. Introduction & Context2. NSF Policies3. 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, & METADATAUtilize 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 @ IUPUIP 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 pC 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 duI 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 1Re s e a rch Fi l e Syste m : htt p :// pt i.i u.e du/storage / rfsSc h o l arl y D ata Arc h i ve : htt p :/ /pti .iu.e du/sto rage /sdaRe s e a rch Te c h n o l ogie s , U I TS: htt p :/ / u its .iu.e du/ page /ave lC o re Se r vi c e s , U I TS: htt p :/ /pti.i u.e du/c sSc 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 eI U Wa re : htt ps :/ / i uware .i u.e d uI U a nyWare : htt ps :/ / iuanyware .i u.e du/vpn/ in dex.htm lStat 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 INFORMATIONHeather CoatesDigital Scholarship & Data Management LibrarianUniversity LibraryEmail: hcoates@iupui.eduPhone: 317-278-7125Web: http://ulib.iupui.edu/digitalscholarship/dataservices
  • 17. UPCOMING WORKSHOPMeeting the NSF Data Management PlanRequirement: What you need to knowMarch 7, 2012 @ 2:00pm, UL 1116Register online at:http://events.iupui.edu/event/?event_id=6064

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