Program Session

7 - Online Research Data Management Training Modules for Health Sciences Librarians

Tuesday, May 30
3:35 PM - 3:40 PM
Room: 611

Objectives: Academic health sciences librarians with extensive experience teaching research data management (RDM) to researchers and librarians sought to disseminate their knowledge to medical librarians nationwide. Their objective was to provide biomedically focused educational material about RDM best practices and the current RDM and data sharing landscape, and context on the differences between clinical and bench researchers’ workflows and RDM challenges.




Methods: With funding from the NIH Big Data to Knowledge Initiative, seven biomedically focused online modules were created. The module topics included the following: 1) The story of data; 2) The data lifecycle; 3) Understanding researchers; 4) The RDM climate; 5) Data documentation best practices; 6) Data standards; 7) Storage, preservation, and sharing. The web-based modules used interactive educational technologies and were reviewed by a collaborator with expertise in evidence-based instructional design. These modules were piloted with over 70 librarians and included online assessments of knowledge gain, satisfaction, comfort level with material, and intent to use. Qualitative follow-up interviews were held with a subset of the pilot participants to further elucidate ways in which the modules could be improved.

Results: Following the pilot testing, the material was updated, and the online modules were made broadly available. The original seven modules were updated based on pilot participant feedback. Additionally, an eighth module was added to provide advice for initiating RDM instruction, due to a need expressed in both the online evaluations and follow-up interviews.


Conclusion: This resource is an important addition to existing RDM educational materials in two important respects. First, the modules have a biomedical focus and so include examples, resources, and requirements relevant to biomedical researchers. In addition, the modules include context about the differences in how bench and clinical researchers work and how that results in differences in their key data management issues.


Keywords: research data management
biomedical researchers
web-based modules



Program Session

Alisa Surkis

Head, Data Services and Translational Science Librarian
NYU School of Medicine
New York, New York

Alisa Surkis is the Head of Data Services and the Translational Science librarian at the NYU Health Sciences Library. The Data Services unit provides support for research data management and data visualization, maintains an institutional data catalog, and serves as a locus for education on collecting, managing, analyzing, visualizing, and sharing data. In her role as Translational Science Librarian, Dr. Surkis is the Director of Team Science for the NYU-HHC CTSI and works to facilitate research collaboration. She received her MLS from Queens College, and has an MS in physics from Stanford University, and a PhD in neuroscience from NYU.

Presentation(s):

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Catherine Larson

Head, Systems & Technology/Systems Librarian
NYU Health Sciences Library
New York, New York

As Head of the Systems & Technology department at the NYU Health Sciences Library, Catherine Larson leads the team that provides the technical support and usability for the Library's systems. This includes the design and development of the NYU Health Sciences Library website, The Lillian & Clarence de la Chapelle Medical Archives site, the NYU HSL Subject Guides, the catalog, and other systems.

Catherine holds an MS in Library and Information Science from the University of Illinois Urbana-Champaign. She also holds a BFA in Art and Technology from the School of the Art Institute of Chicago. Prior to her work with libraries, Catherine worked for over a decade in the private sector designing and building websites for small businesses to Fortune 500s. Her research interests include SASS/CSS, responsive design, user experience (UX), content strategy, and information architecture (IA).

Presentation(s):

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Karen Yacobucci

Content Management Librarian/Marketing Coordinator
NYU Health Sciences Library
New York University
New York, New York

Karen Yacobucci has a master's degree in library and information science from the State University of New York-Buffalo and is currently the content management librarian and Marketing Coordiantor at the New York University (NYU) Health Sciences Library. Ms. Yacobucci is also actively involved in clinical librarianship and participates in patient rounds on a regular basis for NYU Langone Medical Center's Department of Medicine. Ms. Yacobucci has been working in libraries since 2001 and has seen the world of librarianship change over the years, and believes that good marketing strategy and brand management are key ingredients for increasing visibility and communicating the value of libraries and librarians. Ms. Yacobucci is also an animal lover, avid hiker, backpacker, rock climber, and will do just about anything to be outside.

Presentation(s):

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So-Young Oh

Senior Instructional Designer
Institute for Innovations in Medical Education
New York, New York

Presentation(s):

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Suvam Paul

Senior Data Analyst
Institute for Innovations in Medical Education
New York, New York

Presentation(s):

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Colleen Gillespie

Direct, Division of Education Quality
Institute for Innovations in Medical Education
New York, New York

Presentation(s):

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Kevin B. Read

Knowledge Management Librarian
NYU Health Sciences Library
New York, NY

Kevin Read is Knowledge Management Librarian at the NYU Health Sciences Library. He is a member of the Data Services Team, and provides training and research support for faculty, residents and staff on topics including: research data management, REDCap, systematic reviews, grant support and citation management. His areas of expertise include data discovery, metadata, research data management, data sharing, literature searching, and education. Kevin is also the lead of the NYU Data Catalog project that makes datasets created by, and of interest to NYU researchers more discoverable. Kevin participates in several NIH-wide initiatives including the NIH Big Data to Knowledge Indexing Working Group, and NIH BioCADDIE.

Presentation(s):

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