What is the Implementing FAIR Workflows Project?
|Funder||Templeton World Charity Fundation|
|Project Directors||Dr. Helena Cousijn (DataCite), Prof. Lucia Melloni (MPIEA)|
|Duration||36 Months (October 2021 - September 2024)|
Implementing FAIR Workflows: A proof of concept study in the field of consciousness is a 3-year, 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.
- 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.
- 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.
|Lead||DataCite||Coordination of development of the workflow across partners, development of a dashboard on top of the PID Graph.|
|Lead||MPIEA||Responsible for the research studys, data management and research assets during the project. Test the workflows and provide input and examples.|
|Partner||CDL||Providing consulting, technical and product management resources from UC3 Research Data Management team, integration of metadata templates into the DMP Tool and mapping of the proposed PID Graph into DMP IDs and DMP Hub.|
|Partner||ARDC||Providing access to RAiDs and assisting in the integration of RAiDs into the PID graph and corresponding interface.|
|Partner||ChronosHub||Providing the journal finder resources for the research group and management of the publishing process; integration of metadata templates into the journal submission workflow.|
|Partner||Stanford University (CEDAR)||Creating and maintaining metadata templates created during the project and supporting integration of these templates across relevant partner systems.|
|Supporter||Crossref||Providing strategic consultations and technical know-how|
|Supporter||Center For Open Science||Providing strategic consultations and technical know-how|
|Adrian Burton||Australian Research Data Commons|
|Nici Pfeiffer||Center of Open Science|
|Lucia Melloni||Max Planck Institute for Empirical Aesthetics|
|Franco Pestilli||University of Texas|
|Rachael Kotarski||British Library|
|Helena Ledmyr||International Neuroinformatics Coordinating Facility|
|Dylan Roskams-Edris||Tanenbaum Open Science Institute / NeuroHub|
|Jean-Baptiste Poline||NeuroHub (Lead PI), NeuroDataScience Director, INCF chair of scientific council|
|Bryan Lawrence Caron||NeuroHub - Montreal Neurological Institute|
1. Workflow development
Develop 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.
|D1.1||Documentation of the end-to-end workflow specification, made publicly available with a registered DOI.||DataCite, MPIEA|
|D1.2||Mid-term project report tracking progress and evaluation of research assets already captured in the PID Graph.||DataCite, MPIEA|
|D1.3||Final project report tracking progress and evaluation of impact.||DataCite, MPIEA|
2. Application of workflow in research
Apply the end-to-end FAIR workflow specification to a pre-registered multi-modal imaging experiment on consciousness to provide a proof of concept.
|D2.1||Research study outputs deposited and assigned PIDs with metadata.||All partners|
|D2.2||Develop and/or extend existing metadata templates that are interoperable with the DataCite schema.||DataCite, MPIEA, CEDAR|
|D2.3||Implementation and technical of end-to-end workflows in partner systems.||DataCite, MPIEA|
|D2.4||Final project report tracking progress and evaluation of impact.||Dryad, ChronosHub, ARDC (RAiD), University of California|
3. PID Graph and Dashboard
Provide an open interface 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.
|D3.1||Develop an interface that allows researchers to track connections between DMPs, grants, investigators, outputs and organizations throughout the research lifecycle.||DataCite|
|D3.2||Guide that researchers can use to implement FAIR workflows into their research.||DataCite, MPIEA|
4. Adoption and dissemination
Develop an adoption and dissemination plan and engage with a range of stakeholders to plan and outline further implementation.
|D4.1||Develop a dissemination plan, identifying key stakeholders, gathering feedback and defining an adoption roadmap.||DataCite, MPIEA|
|D4.2||Develop a project communication plan.||DataCite, MPIEA||Communication Plan|
|D4.3||Organise and host adoption workshops/webinars with relevant stakeholders and project partners.||DataCite, MPIEA|
|D4.4||Provide open source code for the interface and related documentation.||DataCite|
|D4.5||Publish a paper describing implementation experiences for the benefit of future implementers.||All partners|
Event calendar (TBA)
Project lead: firstname.lastname@example.org
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This project was made possible through the support of a grant from Templeton World Charity Foundation, Inc. The opinions expressed in this publication are those of the author(s) and do not necessarily reflect the views of Templeton World Charity Foundation, Inc.