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From biomedical cloud platforms to microservices : next steps in FAIR data and analysis
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- Sheffield, Nathan C. (författare)
- Univ Virginia, Sch Med, Ctr Publ Hlth Genom, Charlottesville, VA 22908 USA.;Univ Virginia, Sch Data Sci, Charlottesville, VA 22904 USA.;Univ Virginia, Dept Biomed Engn, Sch Med, Charlottesville, VA 22904 USA.;Univ Virginia, Sch Med, Dept Publ Hlth Sci, Charlottesville, VA 22908 USA.;Univ Virginia, Sch Med, Dept Biochem & Mol Genet, Charlottesville, VA 22908 USA.
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- Bonazzi, Vivien R. (författare)
- Deloitte, Baltimore, MD 20201 USA.
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- Bourne, Philip E. (författare)
- Univ Virginia, Sch Data Sci, Charlottesville, VA 22904 USA.;Univ Virginia, Dept Biomed Engn, Sch Med, Charlottesville, VA 22904 USA.
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- Univ Virginia, Sch Med, Ctr Publ Hlth Genom, Charlottesville, VA 22908 USA;Univ Virginia, Sch Data Sci, Charlottesville, VA 22904 USA.;Univ Virginia, Dept Biomed Engn, Sch Med, Charlottesville, VA 22904 USA.;Univ Virginia, Sch Med, Dept Publ Hlth Sci, Charlottesville, VA 22908 USA.;Univ Virginia, Sch Med, Dept Biochem & Mol Genet, Charlottesville, VA 22908 USA. Deloitte, Baltimore, MD 20201 USA. (creator_code:org_t)
- 2022-09-08
- 2022
- Engelska.
- Ingår i: Scientific Data. - : Springer Nature. - 2052-4463. ; 9:1
- Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
Abstract
Ämnesord
Stäng
- The biomedical research community is investing heavily in biomedical cloud platforms. Cloud computing holds great promise for addressing challenges with big data and ensuring reproducibility in biology. However, despite their advantages, cloud platforms in and of themselves do not automatically support FAIRness. The global push to develop biomedical cloud platforms has led to new challenges, including platform lock-in, difficulty integrating across platforms, and duplicated effort for both users and developers. Here, we argue that these difficulties are systemic and emerge from incentives that encourage development effort on self-sufficient platforms and data repositories instead of interoperable microservices. We argue that many of these issues would be alleviated by prioritizing microservices and access to modular data in smaller chunks or summarized form. We propose that emphasizing modularity and interoperability would lead to a more powerful Unix-like ecosystem of web services for biomedical analysis and data retrieval. We challenge funders, developers, and researchers to support a vision to improve interoperability through microservices as the next generation of cloud-based bioinformatics.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
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