As part of a collaborative learning series between the National Institutes of Health (NIH) and the Data Curation Network, we are pleased to offer an in-person data curation workshop experience April 12-13, 2023, at the NIH Campus in Bethesda, Maryland. This free two-day training session expands on the CURATE(D) workflow as a training foundation to focus on biomedical data curation, and will bring together library data specialists, discipline and functional experts in a peer-to-peer learning environment.

This workshop is specifically geared towards institutions that have limited curation support. We invite applications from solo librarians and data stewards, researchers, domain-repository curators, and less experienced professionals.

We also invite applications from individuals at minority serving institutions, including Historically Black Colleges and Universities and Hispanic Serving Institutions and members of historically oppressed communities.

Application Timeline

  • Applications due February 17, 2023
  • Applicants will be notified of status on March 3
  • Registration / confirmation required by March 10

The workshop is capped at 30 participants. Applications will be reviewed using this publicly available rubric. (available here)

Travel Logistics

All travel will be paid for by the NIH. The workshop will take place in Bethesda, Maryland, on the NIH Campus. More travel logistics will be shared closer to the event date.

Instructors

Jen Darragh is an experienced research support professional who has served as a longitudinal research data processor, data archivist, data librarian and now research data management consultant. Jen has a deep understanding of the research data lifecycle and is an advocate for open data sharing whenever possible. Jen is also an expert in restricted-use data acquisition and use environments.

Sophia Lafferty-Hess obtained an M.S. in Information Science and a Master of Public Administration from the University of North Carolina (UNC) at Chapel Hill. Sophia currently works at Duke University as a Senior Research Data Management Consultant where she provides data management instruction and guidance on best practices for organizing, documenting, preserving, and publishing research data. Sophia has supported the curation and archiving of research data for over ten years, in her current role she also helps manage the Duke Research Data Repository and is a curator within the Data Curation Network. Prior to joining Duke, Sophia worked at the Odum Institute for Research in Social Science Data Archive. 

Mikala Narlock is the Director of the Data Curation Network, based at the University of Minnesota. In this role, Mikala ensures the DCN develops in a sustainable fashion while advancing strategic goals. This includes support and development for the data curators, fostering community with members and potential partners, advocating for the data curation profession, and upholding DCN’s reputation as a trusted, transparent, and empowering partner. In her previous position as the Digital Collections Strategy Librarian at the University of Notre Dame, she oversaw development of two flagship library services and collaborated with researchers to deposit their data and publications in the institutional repository. She earned her MLS from Indiana University in 2018.

Sarah Wright is the Research Data and Life Sciences Librarian at Cornell University’s Albert R. Mann Library, and a long-standing and active member of Cornell’s Research Data Management Service Group. She is also a member of the Data Curation Network, a community-led organization that works to develop educational resources and facilitates conversations around data curation topics in addition to providing a multi-institutional shared-curation workflow for curating data. Sarah’s interests include data curation, sharing, and preservation, and open science and research reproducibility in the molecular and life sciences disciplines. Sarah has a B.S. in Biochemistry, Cellular and Molecular Biology, and M.S. degrees in Botany and in Information Science.