Lake us-canada policesupdate
Upcoming SlideShare
Loading in...5
×

Like this? Share it with your network

Share

Lake us-canada policesupdate

  • 296 views
Uploaded on

iConference13 workshop 7

iConference13 workshop 7

More in: Education
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
296
On Slideshare
296
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
5
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide
  • Organizations: Libraries and institutionsWhat are libraries doing to support the growing data management polices and requirements?
  • Requirement of Sharing data started in 1999. In recent years several national scientific organizations have issued statements and policies underscoring the need for prompt archiving of data and funding agencies have started to require that the data they fund be deposited in a public archive. The requirement of Dissemination & Sharing of Research Results has been in the NSF Grant Policy Manual since 2002.Even though this “sharing” requirement was in the Admin Guide, there had been little if any enforcement. There was only a “check box” in the Fast Lane system. (might want to ask if this is true?, had they noticed it, had they asked researcher anything about it, or just checked the box).
  • As of January 18, 2011, all new NSF proposals are required to include a data management plan: Describes how the researcher will adhere to the NSF Sharing PolicyUploaded as 2-page supplemental document in FastLane labeled as “Data Management Plan”Formally peer-reviewed, and will require status updates in all progress reports Broad guidelines, but directorates may have specific guidelines for their community This is NOT a all encompassing Data Management Plan on how the researcher will manage his research throughout the project, ONLY how the researcher will manage data to “share”, per the policy on “Dissemination & Sharing of Research Results”. Other agencies require sharing, but do not explicitly require a DMP as part of a proposal – NASA, NEH access & preservationNEH Sustainability of project deliverables and datasets – long term preservationDissemination – sharingNew NSF as of Jan. 2013 – Bio Sketch can include products of research
  • Government of Canada’s principal funders of research and scholarship in the higher education sectorCIHR, NSERC, SSHRC working together to improve access to publicly-funded research: Consultation with relevant stakeholders Recognition of disciplinary differences Exploring international best practices, standards and policies Considerations for policy development include infrastructure requirements and monitoring Canada Funding Agencies Policiesdeveloping a shared approach for improving access to publicly funded research in keeping with internationally recognized best practices, standards and policies for funding and conducting research.CIHR – Open Access policy As of January 1, 2013, CIHR-funded researchers will be required to make their peer-reviewed publications accessible at no cost within 12 months of publication – at the latest. grant recipients to retain original data sets arising from CIHR-funded research for a minimum of five years after the end of the grant.SSHR - SSHRC has adopted a policy to facilitate making data that has been collected with the help of SSHRC funds available to other researchers.
  • Research Data Strategy Working Group – Data SummitCanadian National Collaborative Data Infrastructure Project: CARL and others. National Research CouncilResearch Data CanadaThe research process generates huge amounts of data that are an important part of Canada's scholarly record and contribute to a worldwide body of knowledge. There are, however, no nationally adopted standards or policies governing how this data is collected, catalogued, or preserved. As a result, this data is often inaccessible by other researchers or structured in such a way that it cannot be fully exploited for other uses. This means researchers are missing out on opportunities to re-analyze or re-evaluate the data in the context of new knowledge and essentially losing the chance to get additional value from the data.challenges of implementing a system to collect, preserve, and facilitate and control access to research data are substantial,
  • APAHere’s what APA's ethics code states:8.14 Sharing Research Data for Verification(a) After research results are published, psychologists do not withhold the data on which their conclusions are based from other competent professionals who seek to verify the substantive claims through reanalysis and who intend to use such data only for that purpose, provided that the confidentiality of the participants can be protected and unless legal rights concerning proprietary data preclude their release. Canada:According to a 2009 report, Research Data: Unseen Opportunities – CARL awareness toolkitMcGill was the only university that had data policyData must be organized in a manner that allows ready verification....Subject to exceptions based on a duty of confidentiality and the laws respecting intellectual property andaccess to information, after data are published, they must be made available to any party presenting a reasonable request to examine them. In cases where there is a disagreement between the researcher and the person requesting the data, the matter shall be referred to the Office of the Vice Principal Research for resolution...(a)ll original data must be retained for a reasonable length of time. A period of at least five years from the date of publication is recommended Fisheries:responsibility of Science and Oceans managers to ensure that data collectors under their management submit their data as well as data collected under contract to or partnership with other agencies, to the appropriate data centre in a timely fashion. Nature Publishing GroupA condition of publication in a Nature journal is that authors are required to make materials, data and associated protocols promptly available to others without undue qualifications.
  • ARL –”Key issue” Evolving E-Research/ E-Science Guide for Research Libraries – NSF Data Sharing Polices (specifically, but good in formation for any DM policy) google group for data sharing support groupCARL has data management sub committeesurvey of existing Canadian initiatives related to the management of researcher-generated datadevelop "best practice" models or frameworks for the management of researcher-generated data to be used by individual CARL members liaise with the related initiatives such as the ARL Task Force on e-Science, the granting councils, and disciplinary-based initiatives
  • E-Science Institute is designed to help academic and research libraries develop a strategic agenda for e-research support, with a particular focus on the sciences.series of interactive modules that take small teams of individuals from academic institutions through a dynamic learning process to strengthen and advance their strategy for supporting computational scientific research. The coursework begins with a series of exercises for teams to complete at their institutions, and culminates with an in-person workshop. Local institution assignments help staff establish a high level understanding of research support background needs and issues.Participate in teams: library admin, data or e-science librarian, non-library personCheck the URL here for future institutes.
  • The Association of Southeastern Research Libraries (ASERL) and the Southeastern Universities Research Association (SURA) have endorsed language to assist their member institutions in drafting sound policies to govern the uses and management of research data generated by university faculty and staff. ASERL and the Southeastern Universities Research Association (SURA) have jointly endorsed model language university data management policies. ASERL and SURA strongly encourage their members to consider this language to guide development of data management activities policies at their institutions. Few institutions have research data policy. So many differences on how institutions support research (no OSP or VPR office). Most about admin data if have any policies at all. Some have tweaked current admin data policy to “force” DM of research data to fit in existing policies.
  • Notice the “lack” of policies list here.Many institutions have policies for institutional data (student, HR and budget data), but not research.Wisconsin’s data stewardship policy, establishes University (faculty, staff, researchers, postDoc, grad, undergrads) involved in the design, conduct or reporting of research at or under the auspices of UW-Madison, and it shall apply to all research projects on which those individuals work, regardless of the source of funding for the project) policy to assure that research data are appropriately maintained, archived for a reasonable period of time, and available for review and use under the appropriate circumstances.
  • Opportunities for continued support and educationCLIR is an independent, nonprofit organization that forges strategies to enhance research, teaching, and learning environments in collaboration with libraries, cultural institutions, and communities of higher learning.Review of applications started Jan. 1 2013Through these fellowships, CLIR seeks to raise awareness and build capacity for sound data management practice throughout the academy.n its pilot cycle, 2012-2014, CLIR is co-hosting six fellows with its partner institutions: Indiana University, Lehigh University, McMaster University, Purdue University, The University of California Los Angeles, and The University of Michigan. The fellowships offered at these institutions are relevant to a wide variety of disciplines in the sciences and social sciences.Who May ApplyRecent Ph.D.s from any social science or science discipline are encouraged to apply, so long as they meet the eligibility criteria for the Postdoctoral Fellowship Program.2013 Host Institutions and Position DescriptionsFellows will be placed at research institutions throughout the United States and Canada. The following institutions are offering fellowships for the 2013-2015 cycle.Arizona State University, California Digital Library, Michigan State University, University of Alberta Libraries, University of California Davis, University of Colorado NSIDC

Transcript

  • 1. UPDATE ON DATA MANAGEMENT (AND SHARING) POLICES US AND CANADA Sherry Lake University of Virginia iConference 2013 February 12, 2013
  • 2. Outline• U.S. Funders• Canadian Funders• Other Policies – Domain specific professional groups – Journals• Organizational Support – Institutions
  • 3. US Funding Agencies Requirement• The Office of Management and Budget (OMB) Circular A-110 provides the federal administrative requirements for grants and agreements with institutions of higher education, hospitals and other non-profit organizations.• In1999, revised to provide public access under some circumstances to research data through the Freedom of Information Act (FOIA).• Funding agencies have implemented the OMB requirement in various ways.
  • 4. US Funding Agencies• Require a Data Management Plan (DMP) – National Science Foundation – National Institutes of Health – National Oceanographic and Atmospheric Research (NOAA) – Institute of Museum and Library Services (IMLS) – National Endowment of Humanities – office of digital humanities (NEH)• Require Sharing of Results – NASA – NEH – Preservation & Access This list is not inclusive.
  • 5. Research Data Polices in Canada• Canada Institutes of Health Research (CIHR) – Policy on Access to Research Outputs• Social Sciences and Humanities Research Council of Canada (SSHRC) – Research Data Archiving Policy• Natural Sciences and Engineering Research Council of Canada (NSERC) – Implementing some policies through specific projects
  • 6. Research Data Canada• Working group to address problems on access & preservation of data from Canadian Research• Challenges to be addressed collectively from a national perspective with the participation of all parts of the research community, including researchers themselves who create and use this data.• Supported by National Research Council Canada
  • 7. Other Data Policies (Examples)US • American Psychology Association (APA)Canada • McGill University • Fisheries & Oceans Canada (one example of a government department data policy)Journals • Nature Publishing Group
  • 8. Library OrganizationsUS – Association of Research Libraries (ARL) – ASERL (Association of Southeastern Research Libraries) – Council on Library and Information Resources (CLIR)Canada – Canadian Association of Research Libraries (CARL)
  • 9. ARL/DLF E-Science InstituteGoal: to help academic and research libraries developa strategic agenda for e-research support, with aparticular focus on the sciences• Initial cohort July 2011: 70 institutions• Sept-Dec. 2012 offered in partnership with DuraSpace • additional 22 institutions • http://duraspace.org/esi-course-description
  • 10. ASERL/SURAAssociation of Southeastern Research Libraries SoutheasternUniversities Research AssociationDeveloped model language for their memberuniversities to consider when drafting policy tosupport data management policies at theirinstitutionshttp://www.aserl.org/wp-content/uploads/2013/01/ASERL-SURA_Model_Language_RDM_Policy_Language_FINAL.pdf
  • 11. Institutions• UW-Madison (Policy on Data Stewardship, Access, and retention – Feb 2011)
  • 12. CLIR: Digital Library Federation• Data Curation Post Doctoral Program Creating a professional career path for data specialists aligned with the discipline but grounded with data curation community. – Science and Social Sciences • Purdue - Scientific Data Management – Medieval Studies • Funded by Mellon Foundation • http://www.clir.org/fellowships/postdoc/applicants/dc- medieval
  • 13. QUESTIONS?SHLAKE@VIRGINIA.EDU