DataMed - NIH data discovery index prototype

DataMed - NIH data discovery index prototype

On 30 June 2016, the National Institutes of Health (NIH) announced the release of the prototype biomedical Data Discovery Index, called DataMed, along with the opportunity to evaluate it and provide feedback.

Developed through the NIH Big Data to Knowledge (BD2K) biomedical and healthCAre Data Discovery Indexing Ecosystem project, bioCADDIE, the prototype allows users to find and access biomedical datasets from multiple sources based on key attributes. DataMed is for data what PubMed has been for scientific literature.

DataMed is an element of the NIH BD2K Commons, an interconnected digital ecosystem of resources around data and other research digital objects. The NIH BD2K initiative seeks to address the needs of the biomedical research community as it confronts the emerging challenges of data. The overall principles are the need to Find, Access, Interoperate, and Re-use (FAIR) data to catalyze greater advances in biomedical science and patient care. DataMed focuses on the findability and accessibility of the data.

NIH BD2K BioCADDIE is a community project, led by the University of California San Diego, University of Michigan, University of Texas-Houston, and University of Oxford. Dr Susanna-Assunta Sansone, Associate Director at the Oxford e-Research Centre, is the Investigator for Oxford, bringing the Centre's activities on standards and metadata modelling to DataMed. She says, "It is very exciting and rewarding to be part of this effort. Our team leads on the development of the DataMed metadata specification that has and will continue to evolve, with input from the community".

The information gathered by NIH will help the DataMed development team assess and respond to user feedback and suggestions and help establish optimal approaches to finding and accessing biomedical data. User feedback will guide DataMed development and contribute to further advances in biomedical research and patient care.