1. Considering the implications of data management mandates within LSA LSA Joint IT-Research Committee Nancy Brack Herlocher, Economics Chris Brenner, LSA Myron Campbell, LSA/Physics Doug Cox, Chemistry Jane Johnson, English Kyle Kwaiser, UMBS Susan McDowell, LSA Karen Pachla, LSA Eric Pinaud, Psychology/Mathematics Timothy Rolston, LSA Kristianne Rork, MCDB Ann Smith, Astronomy Sandra Staneff, Political Science Peggy Westrick, LSA

2. LSA Joint IT-Research Committee Charge to the committee: This Committee will develop policies and best practices so that units can implement business processes to ensure that the College is compliant with UM and Sponsor rules for purchase, management, use, and security of computing resources including hardware, software, and data. The Committee will act as a sounding board for new issues that arise. The Committee will identify and disseminate through the College’s Research and IT Website the policies and resources available to the IT and Research community. This Committee will ensure that the College is compliant with UM and Sponsor rules for management and security of data. The Committee will act as a sounding board for new issues that arise.

3. Impetus College Policies - Safeguards to ensure security of research data Sponsor Policies - New NSF data management requirements Topic for Discussion Mandates for the responsible management of research data will likely affect more than just the researcher or...researchers will likely require assistance to satisfy mandates for the responsible management of research data Today’s Meeting Goals 1)Outline a ideal framework for addressing the topic at hand 2)Develop ways for IT and RA communication 3)Sounding board for new issues related to data management plans 4)Gain feedback and suggestions regarding ideas presented today Science - Feb. 2011

4. Researchers will likely require assistance... Tasks - Data Management Plans – drafting to implementation - LSA data security policies and services – awareness to implementation - Communication among Faculty, Students, Lab Staff, IT, Research Administration, etc - Training in fundamentals of data management - Identify data management shortcomings – strategies and systems to alleviate Beyond compliance for Faculty - New research areas (cyber-infrastructure, data mining) - Data accessibility may encourage collaboration - Data management may improve efficiency https://www.dataone.org/ NSF Office of CyberInfrastructure $12 million, 5 years

5. Field Specific Knowledge Informatics Knowledge Information Technology Knowledge Controlled Vocabularies Metadata Standards Data Standards Data QA/QC Existing Infrastructure Web Development Database Administration Server Maintenance Systems Security Backup and Storage Common Theories Common Methods Common Data Types Research Directions Norms/Expectations Management Knowledge Overall needs and goals Assess/Implement strategies Risk analysis Administrative Structure Compliance Sponsor Proposal and Award Mgt. Data Management Framework - Abstract Knowledge Area Knowledge Attribute

6. Field Specific Knowledge Informatics Knowledge Information Technology Knowledge Principal Investigator Graduate Students Library System Inst. Review Board ICPSR External Resources ITS VaaS LSA IT Unit IT Principal Investigator Graduate Students Techs/Scientists Others Management Knowledge Department Chair Key Admin Research Admin IT LSA DRDA Financial Operations Data Management Framework – Applied Faculty Member (ultimately responsible for all research data) Data Management Plans

7. One final thought... Data originators need to be involved in developing the Information Management strategy. - Kristin Vanderbilt, Karen Baker, David Blankman, Helena Karasti, Inigo San Gil. 2009. Key Elements of Site-Based Long-Term Information Management: A Curriculum for Educating Ecological Information Managers. Long-Term Ecological Research Network (LTER) – All Scientists Meeting, YMCA of the Rockies, September 2009. http://asm.lternet.edu/2009/workgroups/key-elements-site-based-long-term-information-management-curriculum- educating-ecolog Discussion and feedback appreciated. Application of the framework to actual departments? Existing training on this topic? Practices currently in place? How to define the IT Business Process for implementation of DMPs?

8. FIN

9. # Plans for data management and sharing of the products of research. Proposals must include a supplementary document of no more than two pages labeled “Data Management Plan”. This supplement should describe how the proposal will conform to NSF policy on the dissemination and sharing of research results (see AAG Chapter VI.D.4), and 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; and 5. plans for archiving data, samples, and other research products, and for preservation of access to them. Data management requirements and plans specific to the Directorate, Office, Division, Program, or other NSF unit, relevant to a proposal are available at: http://www.nsf.gov/bfa/dias/policy/dmp.jsp. If guidance specific to the program is not available, then the requirements established in this section apply. Simultaneously submitted collaborative proposals and proposals that include subawards are a single unified project and should include only one supplemental combined Data Management Plan, regardless of the number of non-lead collaborative proposals or subawards included. Fastlane will not permit submission of a proposal that is missing a Data Management Plan. Proposals for supplementary support to an existing award are not required to include a Data Management Plan. A valid Data Management Plan may include only the statement that no detailed plan is needed, as long as the statement is accompanied by a clear justification. Proposers who feel that the plan cannot fit within the supplement limit of two pages may use part of the 15-page Project Description for additional data management information. Proposers are advised that the Data Management Plan may not be used to circumvent the 15-page Project Description limitation. The Data Management Plan will be reviewed as an integral part of the proposal, coming under Intellectual Merit or Broader Impacts or both, as appropriate for the scientific community of relevance. http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/gpg_2.jsp#dmp