Activities

Massive Open Online Course (MOOC) on Data Management for Biomedical Big Data

The Countway Library of Medicine at the Harvard Medical School has received funding from the NIH Big Data to Knowledge (BD2K) Initiative for Research Education, to develop a Massive Open Online Course (MOOC) on Data Management for Biomedical Big Data. This MOOC is is built upon and expands the training materials of the New England Collaborative Data Management Curriculum (NECDMC), developed by several libraries in the New England region. 

The Best Practices for Biomedical Research Data Management course is hosted by the Canvas Network and provides training to librarians, biomedical researchers, undergraduate and graduate biomedical students, and other individuals interested on best practices for discoverability, access, integrity, reuse value, privacy, security, and long term preservation of biomedical research data. The course is free and self-paced. (Contact: julie_goldman@harvard.edu)

Sub-Project: Research Rigor & Reproducibility: Understanding the Data Lifecycle for Research Success

Partnership between Countway Library and the HMS Office for Post Doctoral Fellows to develop Research Data Management Training related to Rigor and Reproducibility for postdocs incorporating module from the "Best Practices for Biomedical Research Data Management" Canvas MOOC. (Contact: julie_goldman@harvard.edu)

IQSS/ITS Dataverse Data Curation Services Pilot

This Pilot Project brings together members of the IQSS, ITS, and HL-RDMP teams to  investigate, define, and evaluate collaborative models for delivering Dataverse data curation services to members of the Harvard community. The Pilot data curation effort will center around DataRefuge, an refuge repository for federal data that supports climate and environmental research and advocacy. (Contact: ceilyn_boyd@harvard.edu)

 

Develop a Dataset of RDM Web-Accessible Resources

The HL-RDMP team will build a dataset of Web-accessible research data management resources, services, activities, and organizational participants. The dataset will prioritize Harvard content and sustained research data-related activities; some dataset content (e.g. links to resources) may require Harvard Key access. (Contact: ceilyn_boyd@harvard.edu)