This repository contains the slides and information associated with Bhavesh Patel's presentation at the FORCE11 Annual Conference (FORCE2024) called "Making FAIR Fair to the Researchers". He will be presenting about our lessons learned for making FAIR more fair to the researchers' time and effort.
Abstract: The FAIR (Findable, Accessible, Interoperable, Reusable) Principles provide a framework for sharing research outcomes like data and software such that they are optimally reusable by both humans and machines. This is critical for allowing reproducibility of research results, promoting transparency of research processes, enabling reuse of research outcomes, and ultimately increasing the pace of discoveries in science. These Principles have been widely promoted and supported by all stakeholders in research since their publication in 2016 including researchers, funders, and scientific publishers. Yet, their implementation continues to be a challenge as sharing research results, i.e. manuscript publication, continues to be the main focus of researchers. Stakeholders have tested many approaches combining reward and punishment to overcome this challenge. Here, we present our approach that focuses more on supporting researchers. Specifically, we develop computer tools and software, such as SODA and codefair, that make it easier for researchers to prepare and share FAIR biomedical data and software. They are based on our own experience as biomedical researchers where we observed that most are in support of sharing their data and software in line with the FAIR Principles but often view it as an added burden as they lack time and knowledge to comply. We believe that such researcher-oriented tools can therefore play a significant role in making FAIR fair to the researchers and ultimately achieve the sharing of FAIR data, software, and other research outcomes at scale.
| Type | Date & Time | Authors | Session / Location | Details |
|---|---|---|---|---|
| Talk | Friday, August 2, 2024, at 11:00 am PDT | Bhavesh Patel (presenter) | Young Research Library - Main Conference Room | https://force11.org/conference/post/force2024-schedule/ |
- FAIRfair-FORCE2024-Patel.pdf: slides of the talk
- Also available on Zenodo: https://doir.org/10.5281/zenodo.13159874
We list here major resources relevant to the talk.
| Description | Link |
|---|---|
| Downloading SODA | https://docs.sodaforsparc.io/docs/getting-started/download-soda |
| High-level information about SODA | https://docs.sodaforsparc.io/docs/intro |
| Repository of SODA | https://github.com/fairdataihub/SODA-for-SPARC |
| SODA documentation | https://docs.sodaforsparc.io |
| SPARC data curation and sharing guidelines | https://docs.sparc.science/docs/data-submission-walkthrough |
| SPARC Data Structure (SDS) | https://doi.org/10.1101/2021.02.10.430563 |
| FAIR-BioRS guidelines | https://fair-biors.org/ |
| FAIR-BioRS guidelines manuscript | https://doi.org/10.1038/s41597-023-02463-x |
| FAIR4RS principles | https://doi.org/10.15497/RDA00068 |
| Everything related to codefair | https://codefair.io |
| Codefair on the GitHub marketplace | https://github.com/marketplace/codefair-app |
The material in this repository is licensed under a Creative Commons Attribution 4.0 International License.
For submitting feedback or getting in touch either:
- Use the GitHub issues
- Email us: [email protected]