Elsevier, the information analytics business specialising in science and health, and Seven Bridges Genomics have announced that The National Institutes of Health (NIH) has awarded them a grant for the development of a comprehensive, open-source data analysis ecosystem as part of its Data Commons Pilot Phase. The project is designed to improve data efficiency and reliability for the over 70,000 biomedicine researchers in the US.
The project, 'FAIR4CURES', will provide tools, data and workflows, based on the Findable, Accessible, Interoperable, and Reusable (FAIR) principles.
Using FAIR principles, the project will make biomedical data more Collaborative, Usable, Reproducible, Extendable and Scalable (CURES), by employing a scalable infrastructure, using interoperable standards for the integration and analysis of diverse data types, and providing workspaces with secure and controlled access protocols. To this end, the project will leverage Mendeley Data, Elsevier's secure cloud-based data repository.
Ensuring the availability of reproducible data saves time and money in the research process. The Elsevier contribution will focus on an open-source tool to create and broker global unique identifiers. This component and the schema it is based on will integrate with the rest of the components developed by the FAIR4CURES team, and be interoperable with the tools and schemas developed by the other awardees, leading to a better infrastructure for reproducible biomedical data.
The FAIR4CURES collaboration is headed by Seven Bridges, a biomedical data analysis company. Seven Bridges is responsible for the overall project and will leverage its experience building the NCI Cancer Genomics Cloud and its existing cloud infrastructure for biomedical data analysis to deliver the NIH Data Commons pilot. Other participants include UK-based genomic data provider Repositive, and the U.S. Department of Veterans Affairs Boston VA Research Institute.
For Elsevier's Research Data Management group, FAIR4CURES presents a unique opportunity to collaborate with leaders in a multifaceted, multi-stakeholder project to help to shape the infrastructure for biomedical open science.
Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.
