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Announcements

Public Access to Results of NSF-funded Research: Starting in January 2016, the NSF will require that scientific publications and the digital data that generated the publication will be publcily deposited. Initially, the DOE's PAGES system will serve as the repository for the pubilcations. The detailed plan can be found here.

University of Minnesota's New Research Data Management Policy Highlights
  • This system-wide policy establishes high level guidance for coordinating the institution’s efforts to satisfy the research data storage and infrastructure needs. To acknowledge the distributed nature of research data management at the University, high level oversight is assigned to the VP for Research, the VP and CIO, the VP for Health Sciences, and the University Librarian. These four individuals have joint responsibilities for ensuring that research data management needs and regulatory obligations are met. They will oversee a Use Case Categorization Scheme (UCCS) Committee that will make recommendations to them to address the research data management issues needs that are identified by the University community. Specific responsibilities are assigned to different units within the University and include communication flows among units.
  • The policy clarifies ownership and stewardship of research data that are generated or acquired by faculty, staff and students through the use of University facilities and resources. Ownership is assigned to the University (unless superseded by other agreements), and stewardship to the individual(s) with primary responsibilities of the research project. However, to align ownership with the copyright policy, students own the research data generated as part of their academic work unless the data are generated or acquired within the scope of their employment or through the use of substantial University resources. A Research Data Ownership Acknowledgment form is included in the policy to facilitate the transfer of ownership from a student to the University in cases where the PI wants the University to retain ownership.
  • The policy recognizes the key role of the principal investigators (PIs) of research projects, and leaves the PIs in charge of decision making and implementation regarding sharing, publishing, preservation, retention and archiving of research data. The policy also assigns responsibility to the PIs to educate other participants in their research project about their obligations with respect to meeting data management requirements.
  • The policy clarifies the responsibilities of the PIs, SPA, and administrators to identify research data management requirements that go beyond the standard requirements (e.g., FISMA), and assigns the responsibility of tracking such requirements to SPA.
  • A procedure on Transferring Research Data accompanies the policy to clarify the steps a PI needs to take to transfer research data to or from another institution in cases where the PI leaves or joins the University.
  • The policy clarifies the steps PIs need to take if they cannot meet the responsibilities assigned to them in the policy: The first step is to involve University officials in their colleges, schools, or system campuses, who, in turn, need to respond to and work with the PIs to resolve the issues.  
  • The Vice President for Research, the Vice President and Chief Information Officer, the Vice President for Health Sciences, and the University Librarian/Director of Libraries (depending on campus) will be sponsoring the Use Case Categorization Scheme (UCCS) committee. The UCCS committee solicits and receives use cases from PIs; colleges, schools, and system campus administrators; or other unit administrators involved in research data. The UCCS committee will be announced on the home page of UMII once it is established together with the process on how to bring up issues to the committee.

 

UMII’s graphic element was designed by Augie Park, a graduate student in the College of Design and a graduate research assistant at Design Thinking @College of Design. The network theme of the graphic element communicates UMII’s aspiration of being the link among the many nodes where research data are acquired, analyzed, or stored, such as the University of Minnesota’s high-throughput facilities, the Minnesota Supercomputing Institute, the Office of Information Technology, the Libraries, or UMII Services. Augie applies design thinking to the development of solutions. She gathers research to communicate effectively through visual graphics. Augie's expertise includes branding and identity, UX/UI, typography, HTML/CSS, print layouts, and research. Her strategy utilizes interdisciplinary knowledge of history, design thinking, psychology, and tea. Lots of tea. She creates, develops, and codes. She is a designer.

The Minnesota Metagenomics Symposium will take place on Friday, April 17, 2015, 9:00 am - 4:00 pm. Speakers include: Dr. Marty Blaser, NYU Langone Medical Center; Dr. Maria Gloria Dominguez-Bello, NYU Langone Medical Center; Dr. Cheryl Gale, Pediatrics, University of Minnesota Medical School. More details to follow.

The Big Data to Knowledge (BD2K) NIH Initiative seeks to enhance the ability of researchers in the biomedical field to extract more information from their data. BD2K continues to announce funding opportunities to achieve this goal: (1) mentored career development award (RFA-HG-14-007); (2) courses for skill development (RFA-HG-14-008); (3) open educational resources (RFA-HG-14-009); (4) Development of Software and Analysis Methods for Biomedical Big Data in Targeted Areas of High Need (RFA-HG-14-020); (5) Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science (R01) (PA-14-155); (6) Extended Development, Hardening and Dissemination of Technologies in Biomedical Computing, Informatics and Big Data Science (R01) (PA-14-156), (7) predoctoral training in biomedical big data science (T32): RFA-HG-14-004; (8) Revisions to add biomedical big data training to active institutional training grants (T32): RFA-HG-15-009; and (9) revisions to add biomedical big data training to active NLM institutional training grants in biomedical informatics (T15): RFA-HG-15-010.

The 7th Annual BICB Research Symposium was held on January 16, 2015 at the University of Minnesota Rochester.  The program included research presentations from Professor Gilad Lerman (School of Mathematics, UMTC), Dr. Nicholas Chia (Mayo Clinic), Professor Robert Stupar (Agronomy and Plant Genetics, UMTC), and Bill Rapp (Chief Technology Officer, IBM).

The 6th Annual BICB Research Symposium was held January 17, 2014 at the University of Minnesota Rochester in Rochester, MN, with 69 attendees from many of BICB's partners, including Mayo Clinic, National Marrow Donor Program, and the Hormel Institute, in addition to participants from other organizations. The January meeting also serves as the annual program meeting. Professor Tim Griffin presented on Large-scale multi-omic data integration and analysis: challenges and opportunities. The program included research presentations by University of Minnesota and BICB affiliated graduate students, updates on the BICB program, discussion of BICB student learning outcomes, as well as a poster session. See UMR Online News for more information and pictures.