![]() Get suggestions for improving your metadata and make your research data more Findable, Accessible, Interoperable and Reusable with the FAIRware workbench. If youre a producer or director and you find a member but their. FAIRware enables communities to improve their own practices by creating the community-specific FAIR metadata standards and providing a tool for automated elevation. If a members contact information is not visible, they may have chosen to make it private. The open source software tools developed by the FAIRware programme use an explicit, editable representation of the reporting guidelines that can provide standardised values for metadata elements, to simplify the authoring of metadata and ensure adherence to community standards. ![]() It supports evaluation of FAIR principles related to whether the metadata used to describe datasets are "rich" and adhere to community standards-key elements of making data FAIR. This innovative approach addresses the varying needs of different research fields, which is invaluable in gaining researchers' support. ![]() This project is creating a process by which research funders can significantly increase their impact by changing practices and creating research metadata that is FAIR from its inception. ![]()
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