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<mods ID="concordia-etal-2020-store">
    <titleInfo>
        <title>Store Scientific Workflows Data in SSHOC Repository</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Cesare</namePart>
        <namePart type="family">Concordia</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Carlo</namePart>
        <namePart type="family">Meghini</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Filippo</namePart>
        <namePart type="family">Benedetti</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-may</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <language>
        <languageTerm type="text">English</languageTerm>
        <languageTerm type="code" authority="iso639-2b">eng</languageTerm>
    </language>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Workshop about Language Resources for the SSH Cloud</title>
        </titleInfo>
        <originInfo>
            <publisher>European Language Resources Association</publisher>
            <place>
                <placeTerm type="text">Marseille, France</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-10-95546-43-6</identifier>
    </relatedItem>
    <abstract>Today scientific workflows are used by scientists as a way to define automated, scalable, and portable in-silico experiments. Having a formal description of an experiment can improve replicability and reproducibility of the experiment. However, simply storing and publishing the workflow may be not enough, an accurate management of provenance data generated during workflow life cycle is crucial to achieve reproducibility. This document presents the activity being carried out by CNR-ISTI in task 5.2 of the SSHOC project to add to the repository service developed in the task, functionalities to store, access and manage ‘workflow data’ in order to improve replicability and reproducibility of e-science experiments.</abstract>
    <identifier type="citekey">concordia-etal-2020-store</identifier>
    <location>
        <url>https://www.aclweb.org/anthology/2020.lr4sshoc-1.1</url>
    </location>
    <part>
        <date>2020-may</date>
        <extent unit="page">
            <start>1</start>
            <end>4</end>
        </extent>
    </part>
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