FAIR
Workflows
The FAIR Workflows project is a 3-year, proof of concept, multi-partner project funded by the TWCF, aimed at building and implementing an exemplar FAIR and Open research workflow based on the reality of an entire research lifecycle. The project will produce a practical and easy to use guide for other scientists to improve the FAIRness of their own research. The project is led by Datacite, a leading global non-profit organization that provides persistent identifiers (DOIs) for research data and other research outputs. Datacite will harness the COGITATE project as a proxy for developing a specification for an end-to-end FAIR workflow for researchers that enables tracking of all different components of a research project through PIDs and their metadata, make research outputs FAIR upon inception. Additionally, they will develop a dashboard that allows researchers to track connections between DMPs, grants, investigators, outputs, organizations, research methods and protocols; and display citations and usage throughout the research lifecycle.
Project motivation
Photo by Alvaro Reyes on Unsplash
Papers only tell a small fraction of the story, hard to comprehensively evaluate a research study based on papers alone.
The complex experimental protocols and data in the field of neuroscience aggravate the reproducibility problems.
Open and FAIR research increase reproducibility and reuse, infrastructure and tools are available but adoption fragmented.
To motivate open practice adoption and FAIR compliance, researchers need concrete examples of FAIR workflows that are easy to implement.
Project objectives
To create an end-to-end FAIR workflow specification.
To enable uptake through adoption and dissemination plans with best practices.
To implement credit tracing and evaluation support for the researchers through the PID graph based on citation and reuse data.
To attest the scientific rigor of the research study.
To enhance discoverability and reuse of the research outputs.