title: Closing gaps between open software and public data in a hackathon setting: User-centered software prototyping.
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.
authors.affiliation: National Center for Biotechnology Information (NCBI), National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
authors.forename: Ben
authors.initials: B
authors.lastname: Busby
authors.affiliation: National Center for Biotechnology Information (NCBI), National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
authors.forename: Matthew
authors.initials: M
authors.lastname: Lesko
authors.affiliation: NIH Library, Division of Library Services, Office of Research Services, National Institutes of Health, Bethesda, MD, USA.
authors.forename: Lisa
authors.initials: L
authors.lastname: Federer
keywords: Bioconductor; Education; Genome Annotation; Genomics; Next Generation Sequencing; Open-Source; Pharmacogenomics; Software