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Building the Future of Research Together

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Objectives: To explore potential collaborations between academic libraries and Clinical Translational Science Award (CTSA)-funded institutes with respect to …

Objectives: To explore potential collaborations between academic libraries and Clinical Translational Science Award (CTSA)-funded institutes with respect to
data management training and support.
Methods: The National Institutes of Health CTSAs have established a well-funded, crucial infrastructure supporting large-scale collaborative biomedical research. This infrastructure is also valuable for smaller, more localized research projects. While infrastructure and corresponding support is often available for large, well-funded projects, these services have generally not been extended to smaller projects. This is a missed opportunity on both accounts. Academic libraries providing data services can leverage CTSA-based resources, while CTSA-funded institutes can extend their reach beyond large biomedical projectsto serve the long tail of research data.
Results: A year-long series of conversations with the Indiana CTSI Data Management Team resulted in resource sharing, consensus building about key issues in data management, provision of expert feedback on a data management training curriculum, and several avenues for future collaborations.
Conclusions:Data management training for graduate students and early career researchers is a vital area of need that would benefit from the combined infrastructure and expertise of translational science institutes and academic libraries. Such partnerships can leverage the instructional, preservation, and access expertise in academic libraries, along with the storage, security, and analytical expertise in translational science institutes to improve the management, protection, and access of valuable research data.

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  • Institutional CTSA awards are the centerpiece of the program, providing academic homes for translational sciences and supporting research resources needed by local and national research communities to improve the quality and efficiency of all phases of translational research. Institutional CTSAs also support the training of clinical and translational scientists and the development of all disciplines needed for a robust workforce for translational research.
    Despite some common elements, the make up of each institute varies widely.

Transcript

  • 1. Building the future of research together Medical Library Association Annual Meeting 2014 Chicago, IL Heather Coates hcoates@iupui.edu coateshl.wordpress.com @IandPangurBan #mlanet14dmtrain
  • 2. The journey I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 1 From: https://www.flickr.com/photos/casadequeso/11324474306 Where we want to go What we’re doing now How we got started
  • 3. Data Services Program • DSP situated within the University Library Center for Digital Scholarship (CDS) • Several liaisons with dual CDS appointment • Digital Scholarship & Data Management Librarian (~60% FTE) • Supported by Operations Team with web development and dSpace expertise • Provide service by leveraging existing resources across campus I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 2
  • 4. About IUPUI • Urban health sciences campus offering both Indiana University and Purdue University degrees, managed by IU • ~30,000 students (18K undergrad, 12K grad + prof) • Four libraries on our campus • University Library serves 15+ units • Dental, Law, & Medical School-based libraries I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 3
  • 5. COMMON GROUND A brief snapshot I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 4
  • 6. Indiana CTSI I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 5
  • 7. ICTSI: DM Service & Training • Department of Biostatistics, Data Management Team • Consultations (free) • Data Management (fee-based) • Master’s Programs • Clinical Research • Translational Science • Various fellowships, mentoring, awards I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 6
  • 8. Common Ground • Good data management is crucial for effective data preservation and sharing • Research is a collaborative effort • Research effort is wasted when data is managed poorly • Value of data management planning, especially defining or mapping data outcomes • Value of good documentation • Choosing tools that support data validation, integrity, and provenance/audit trails • Implementing a storage and backup plan • Use of secure, robust institutional cyber- infrastructure over local or departmental resources I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 7 Generally Data Management
  • 9. DATA MANAGEMENT TRAINING Progress thus far I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 8
  • 10. Gaps in DM Service & Training • Most graduate program curricula do not offer cover data management • Exceptions: Biostatistics, Biohealth Informatics, CS • ICTSI MS program are too lengthy and expensive for many • No DMP support offered I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 9
  • 11. Building the relationship I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 10 2012: Discovered Society for Clinical Data Mgmt during lit review Fall 2012: Reached out to Data Mgmt Team at ICTSI Winter 2013: Began sharing resources & discussing training Spring 2013: Submitted proposal to develop training (not funded) 2013-2014: Continued discussions & info sharing; exposure to CTSI DM group 2014: Began offering DM training
  • 12. Developing the DM lab • Identify stakeholders/target audience • Develop learning outcomes • Identify core content • Proven, effective strategies • Generalizable practices • Identify key campus resources I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 11
  • 13. More about the lab • Monday, May 19: Poster #116: Improving data management in academic research: Assessment results for a pilot lab. http://hdl.handle.net/1805/4415 • Coates, H. L. (2014). Building Data Management and Repository Services: The IUPUI Approach. Presented at the Doing it Your Way: Approaches to Research Data Management for Libraries: New York, NY. http://hdl.handle.net/1805/4396 • Coates, H. L. (2013). Developing a data management lab: Teaching effective methods for health and social sciences research. Poster presented at the Data Information Literacy Symposium: West Lafayette, IN. http://hdl.handle.net/1805/3569 • Coates, H. (2012). Practical data management: Enabling graduate students and staff to function as ethical actors. Presented at the 2013 conference of the Association of College and Research Libraries, Indianapolis, IN. http://hdl.handle.net/1805/3273 I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 12
  • 14. Laying a foundation 1. For a working relationship with a strong research support unit that is part of wide- reaching network (institutionally, state- wide, and nationally) 2. For a shared understanding of data management needs at IUPUI I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 13
  • 15. BUILDING THE FUTURE… TOGETHER Where do we go from here? I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 14
  • 16. Mission Overlap Distinct Roles? • Navigator • Educator • Network hub Existing Needs • Data management training • Data sharing support and infrastructure • Data preservation and curation services and infrastructure • Support for emerging incentives I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 15
  • 17. Navigator • Directing researchers to available cyberinfrastructure • Build awareness of resources • Appropriate referrals • Providing a personalized service layer on top of infrastructure or core services I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 16
  • 18. Educator • Provide practical training relevant to emerging technologies • Encourage DM behaviors that support data integrity, preservation, curation, sharing, citation, etc. • Demonstrate data competencies as a valuable skill set I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 17
  • 19. Network Hub • Keeping administrators informed • Facilitating a campus-wide conversation of relevant data issues • Coordinate various experts to support projects • Tiered Services • Informationist • Project Development Teams • Practice role for the library as a physical or virtual space? I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 18
  • 20. Reflecting I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 19
  • 21. Ongoing challenges • Competing for time/attention of researchers and data management team • Communication across a diverse and complex campus • Limits of DSP staffing • Balance point-of-need v. proactive outreach I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 20
  • 22. Looking ahead to the future • Provide practical data management training to researchers, particularly pre- doctoral students & early career faculty • Collaborate to provide shared mechanisms for data sharing, registration, and tracking impact • Foster a campus-wide conversation about data stewardship at the level of the institution, individual researchers, and research/professional communities I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 21
  • 23. Resources 1. Holmes, K. L., Lyon, J. A., Johnson, L. M., Sarli, C. C., & Tennant, M. R. (2013) . Library-based clinical and translational research support. Journal of the Medical Library Association, 101(4), 326- 335. 2. Committee to Review the Clinical and Translational Science Awards Program at the National Center for Advancing Translational Sciences; Board on Health Sciences Policy; Institute of Medicine; Leshner, A.I., Terry, S.F., Schultz, A.M., et al. (Ed). (2013). The CTSA Program at NIH: Opportunities for Advancing Clinical and Translational Research. Washington (DC): National Academies Press (US). Available from: http://www.ncbi.nlm.nih.gov/books/NBK144067/ I N D I A N A U N I V E R S I T Y – P U R D U E U N I V E R S I T Y I N D I A N A P O L I S 22