.zenodo.json

{
    "upload_type": "software",
    "title": "AIRR Standards",
    "creators": [
        {
            "name": "Arcila, Francisco",
            "affiliation": "German Cancer Research Center",
            "orcid": "0000-0001-5286-9013"
        },
        {
            "name": "Bukhari, Syed Ahmad Chan",
            "affiliation": "St. John's University",
            "orcid": "0000-0002-6517-5261"
        },
        {
            "name": "Bürckert, Jean-Philippe",
            "affiliation": "Luxembourg Institute of Health",
            "orcid": "0000-0001-7741-1164"
        },
        {
            "name": "Busse, Christian E.",
            "affiliation": "German Cancer Research Center",
            "orcid": "0000-0001-7553-905X"
        },
        {
            "name": "Christley, Scott",
            "affiliation": "UT Southwestern Medical Center",
            "orcid": "0000-0002-9889-1221"
        },
        {
            "name": "Corrie, Brian D.",
            "affiliation": "iReceptor / Simon Fraser University",
            "orcid": "0000-0003-3888-6495"
        },
        {
            "name": "Cowell, Lindsay G.",
            "affiliation": "UT Southwestern Medical Center",
            "orcid": "0000-0003-1617-8244"
        },
        {
            "name": "Harikrishnan, Srilakshmy L.",
            "affiliation": "German Cancer Research Center",
            "orcid": "0000-0002-0418-1350"
        },
        {
            "name": "Hershberg, Uri",
            "affiliation": "University of Haifa",
            "orcid": "0000-0002-6425-5980"
        },
        {
            "name": "Imkeller, Katharina",
            "affiliation": "Frankfurt Cancer Institute",
            "orcid": "0000-0002-5177-0852"
        },
        {
            "name": "Kleinstein, Steven H.",
            "affiliation": "Yale University School of Medicine",
            "orcid": "0000-0003-4957-1544"
        },
        {
            "name": "Marquez, Susanna",
            "affiliation": "Yale University School of Medicine",
            "orcid": ""
        },
        {
            "name": "Matsen, Frederick A. 4th",
            "affiliation": "Fred Hutchinson Cancer Research Center",
            "orcid": "0000-0003-0607-6025"
        },
        {
            "name": "Laserson, Uri",
            "affiliation": "Icahn School of Medicine at Mount Sinai",
            "orcid": "0000-0002-8429-7686"
        },
        {
            "name": "Lees, William D.",
            "affiliation": "Birkbeck College, University of London",
            "orcid": "0000-0001-9834-6840"
        },
        {
            "name": "Luning Prak, Eline T.",
            "affiliation": "University of Pennsylvania Perelman School of Medicine",
            "orcid": "0000-0002-9478-9211"
        },
        {
            "name": "Rubelt, Florian",
            "affiliation": "Stanford University School of Medicine",
            "orcid": ""
        },
        {
            "name": "Vander Heiden, Jason A.",
            "affiliation": "Yale University School of Medicine",
            "orcid": "0000-0002-1474-310X"
        },
        {
            "name": "Watson, Corey T.",
            "affiliation": "University of Louisville",
            "orcid": "0000-0001-7248-8787"
        }
    ],
    "description": "The AIRR Community Standards are developed to facilitate FAIR data sharing in the field of Adaptive Immune Receptor Repertoire (AIRR) sequencing. They currently encompass a data schema, a data representation, an API definition, code libraries for Python and R and the corresponding documentation",
    "access_right": "open",
    "license": "CC-BY-4.0",
    "keywords": [
        "Immunology",
        "Adaptive Immune Receptor Repertoire",
        "Minimal information standard",
        "Data schema"
    ],
    "related_identifiers": [
        {
            "scheme": "url",
            "identifier": "https://github.com/airr-community/airr-standards/tree/v1.4.0",
            "relation": "isSupplementTo",
            "resource_type": "software"
        },
        {
            "scheme": "doi",
            "identifier": "10.5281/zenodo.1185414",
            "relation": "isPartOf",
            "resource_type": "software"
        },
        {
            "scheme": "doi",
            "identifier": "10.1038/ni.3873",
            "relation": "describes",
            "resource_type": "publication-article"
        },
        {
            "scheme": "doi",
            "identifier": "10.3389/fimmu.2017.01418",
            "relation": "describes",
            "resource_type": "publication-article"
        },
        {
            "scheme": "doi",
            "identifier": "10.3389/fimmu.2018.02206",
            "relation": "describes",
            "resource_type": "publication-article"
        },
        {
            "scheme": "doi",
            "identifier": "10.3389/fdata.2020.00022",
            "relation": "describes",
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        }
    ],
    "references": [
        "Rubelt F et al. Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data. Nat Immunol 18:1274 (2017)",
        "Breden F et al. Reproducibility and Reuse of Adaptive Immune Receptor Repertoire Data. Front Immunol 8:1418 (2017)",
        "Vander Heiden JA et al. AIRR Community Standardized Representations for Annotated Immune Repertoires. Front Immunol 9:2206 (2018)",
        "Christley S et al. The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons. Front Big Data 3:22 (2020)"
    ],
    "communities": [
        {
            "identifier": "airr-community"
        },
        {
            "identifier": "ecfunded"
        }
    ],
    "grants": [
        {
            "id": "10.13039/501100000780::825821"
        }
    ],
    "language": "eng"
}