Closing gaps between open software and public data in a hackathon setting: User-centered software prototyping

Author:

Busby BenORCID,Lesko Matthew,Federer LisaORCID,

Abstract

In genomics, bioinformatics and other areas of data science, gaps exist between extant public datasets and the open-source software tools built by the community to analyze similar data types.  The purpose of biological data science hackathons is to assemble groups of genomics or bioinformatics professionals and software developers to rapidly prototype software to address these gaps.  The only two rules for the NCBI-assisted hackathons run so far are that 1) data either must be housed in public data repositories or be deposited to such repositories shortly after the hackathon’s conclusion, and 2) all software comprising the final pipeline must be open-source or open-use.  Proposed topics, as well as suggested tools and approaches, are distributed to participants at the beginning of each hackathon and refined during the event.  Software, scripts, and pipelines are developed and published on GitHub, a web service providing publicly available, free-usage tiers for collaborative software development. The code resulting from each hackathon is published at https://github.com/NCBI-Hackathons/ with separate directories or repositories for each team.

Publisher

F1000 Research Ltd

Subject

General Pharmacology, Toxicology and Pharmaceutics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. One-off events? An empirical study of hackathon code creation and reuse;Empirical Software Engineering;2022-09-20

2. Organizing online hackathons for newcomers to a scientific community – Lessons learned from two events;Sixth Annual International Conference on Game Jams, Hackathons, and Game Creation Events;2021-08-02

3. Corporate hackathons, how and why? A multiple case study of motivation, projects proposal and selection, goal setting, coordination, and outcomes;Human–Computer Interaction;2020-10-24

4. BioHackathon 2015: Semantics of data for life sciences and reproducible research;F1000Research;2020-02-24

5. Touched by the Hackathon: a study on the connection between Hackathon participants and start-up founders;Proceedings of the 2nd ACM SIGSOFT International Workshop on Software-Intensive Business: Start-ups, Platforms, and Ecosystems - IWSiB 2019;2019

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