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      Structuring supplemental materials in support of reproducibility

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          Abstract

          Supplements are increasingly important to the scientific record, particularly in genomics. However, they are often underutilized. Optimally, supplements should make results findable, accessible, interoperable, and reusable (i.e., “FAIR”). Moreover, properly off-loading to them the data and detail in a paper could make the main text more readable. We propose a hierarchical organization for supplements, with some parts paralleling and “shadowing” the main text and other elements branching off from it, and we suggest a specific formatting to make this structure explicit. Furthermore, sections of the supplement could be presented in multiple scientific “dialects”, including machine-readable and lay-friendly formats.

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          The online version of this article (doi:10.1186/s13059-017-1205-3) contains supplementary material, which is available to authorized users.

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          Most cited references15

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          Workflows and e-Science: An overview of workflow system features and capabilities

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            Why linked data is not enough for scientists

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              Reproducible Research in Computational Harmonic Analysis

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                Author and article information

                Contributors
                mark@gersteinlab.org
                Journal
                Genome Biol
                Genome Biol
                Genome Biology
                BioMed Central (London )
                1474-7596
                1474-760X
                5 April 2017
                5 April 2017
                2017
                : 18
                : 64
                Affiliations
                [1 ]GRID grid.21166.32, , Zvi Meitar Institute for Legal Implications of Emerging Technologies, Radzyner Law School, Interdisciplinary Center, ; Herzliya, Israel
                [2 ]GRID grid.47100.32, Program in Computational Biology and Bioinformatics, , Yale University, ; New Haven, CT 06520 USA
                [3 ]GRID grid.47100.32, Integrated Graduate Program in Physical and Engineering Biology, , Yale University, ; New Haven, CT 06520 USA
                [4 ]GRID grid.47100.32, Department of Molecular Biophysics and Biochemistry, , Yale University, ; New Haven, CT 06520 USA
                [5 ]GRID grid.47100.32, Department of Computer Science, , Yale University, ; New Haven, CT 06520 USA
                [6 ]GRID grid.35403.31, Graduate School of Library and Information Science, , University of Illinois at Urbana-Champaign, ; 501 E Daniel St, Champaign, IL 61820 USA
                Article
                1205
                10.1186/s13059-017-1205-3
                5382465
                28381262
                8f7f86f2-ba74-4155-82f2-48e147d081b3
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: 1U01 EB023686-01
                Award Recipient :
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                Opinion
                Custom metadata
                © The Author(s) 2017

                Genetics
                Genetics

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