Conference paper Open Access

Research Object Composer: A Tool for Publishing Complex Data Objects in the Cloud

Anita de Waard; Marina Soares E Silva


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  <identifier identifierType="DOI">10.5281/zenodo.3382263</identifier>
  <creators>
    <creator>
      <creatorName>Anita de Waard</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9034-4119</nameIdentifier>
      <affiliation>Elsevier</affiliation>
    </creator>
    <creator>
      <creatorName>Marina Soares E Silva</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9530-627X</nameIdentifier>
      <affiliation>Elsevier</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Research Object Composer: A Tool for Publishing Complex Data Objects in the Cloud</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>Research Objects</subject>
    <subject>Cloud-based workflows</subject>
    <subject>Mendeley Data</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-08-30</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3382263</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3382262</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;In recent years there has been a surge of efforts in bioinformatics to move data towards a &amp;lsquo;Data Commons&amp;rsquo;, (see e.g. [1 &amp;ndash; 3]) that intends to &amp;ldquo;collate data with cloud computing infrastructure and commonly used software services, tools, and applications to create biomedical resources for the large-scale management, analysis, harmonization, and sharing of biomedical data&amp;rdquo; [3]. To create such a shared knowledge infrastructure, it is necessary that data and software, previously installed or hosted locally, become globally accessible, and made Findable, Accessible, Interoperable and Reusable [4]. As a first step to finding data and software, a unique, global, persistent identifier system is required, which is flexible enough to accommodate the multifarious inputs and outputs which a Data Commons can produce.&lt;/p&gt;</description>
  </descriptions>
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