The Data Catalog Collaboration Project (DCCP) was created to facilitate the discovery of biomedical research data that are hard to find. The DCCP consists of academic health science libraries that have implemented local instances of an open source data catalog to index biomedical research data. This collaboration brings a cross-institutional perspective to addressing usability, data sharing workflows, metadata, and outreach for improving data discovery efforts in biomedical research.
The DCCP serves as the first step for researchers to make their data more discoverable. As a low-barrier entry into data sharing, researchers can describe their data using our metadata schema, while retaining control of how they share it.
Increase the visibility of institutional biomedical research data
Assess the reuse of biomedical research data to inform how to devote resources for data curation, storage and sharing use cases of high-value data
Align DCCP efforts with emerging national data discovery initiatives from the NIH and others
Learn from users of the DCCP local data catalogs by investigating use cases and data sharing workflows
Inform institutional data sharing policies to improve data sharing workflows and reduce the burden on the biomedical research community
What We've Achieved
Won Top Importance Score out of 172 projects in the Great CTSA Team Science Contest.
Developed a flexible metadata for describing biomedical research data
Released open source code to easily implement the Data Catalog locally
Mapped DCCP metadata with the Data Tag Suite (DATS) to align with the NIH-funded DataMed discovery system.
Established comprehensive quality control documentation for institutions to curate research data
Worked with institutional data ownership and sharing policy stakeholders to reduce the burden on researchers sharing data
Developed institutional policy to ensure the indexing of research data pulled from the electronic health record
Aligned DCCP efforts with Clinical and Translational Science Institutes (CTSI) to index CTSI research data
Presented the Data Catalog Collaboration Project at national and international biomedical research conferences