This is a research project to develop a trustworthy, accountable, data sharing eco-system for biomedical research that utilizes knowledge representation and blockchain technologies to address the challenge of the costly and time-consuming effort needed to bring a biomedical innovation from the bench (basic research) to bedside (clinical level).
The aims of this project are to develop:
- An expressive, provenance-centric language, called SCIENCE Capability-based, Intention-centric, Experiment-oriented, Networked Collaborative Expression (SCIENCE) language will capture “science-capability” of the biomedical research datasets.
- A methodology for smart contracts will encode data use agreements and shared governance of data to create computational data use agreements supporting the automatic evaluation of compliance.
- Novel consensus mechanisms will enable reporting the impact of scientific data and the reproducibility of the research methods, thus providing incentives to scientists in supplying well-annotated, highly reusable data and reproducible research methods.
- Ben Kelly
- Catherine Wang
- Jennifer Zhan
- Kacy Adams
- Kelly Fellenzer
- Noe Horowitz
- Sahith Bhamidipati