CUF-Links: Continuous and Ubiquitous FAIRness Linkages for Reproducible Research
- 2 August 2022
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Computer
- Vol. 55 (8) , 20-30
Abstract
The ability to share data is critical to reproducible research, yet data sharing is often limited because issues of findability, accessibility, interoperability, and reusability—the FAIR principles—are not integrated into every step of the scientific process.Keywords
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Funding Information
- U.S. Department of Energy (DE-AC02-06CH11357)
- National Institutes of Health (U24-CA209996, U01-DE028729)
This publication has 16 references indexed in Scilit:
- The BagIt File Packaging Format (V1.0)2018
- Experiences with DERIVA: An Asset Management Platform for Accelerating eScience2017
- I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets2016
- The rationale of PROVJournal of Web Semantics, 2015
- An introduction to Docker for reproducible researchACM SIGOPS Operating Systems Review, 2015
- Experiences building Globus Genomics: a next‐generation sequencing analysis service using Galaxy, Globus, and Amazon Web ServicesConcurrency and Computation: Practice and Experience, 2014
- Ten Simple Rules for Reproducible Computational ResearchPLOS Computational Biology, 2013
- Git can facilitate greater reproducibility and increased transparency in scienceSource Code for Biology and Medicine, 2013
- Why linked data is not enough for scientistsFuture Generation Computer Systems, 2013
- Socio-technical systems: From design methods to systems engineeringInteracting with Computers, 2011