Presentation Open Access

Structuring experimental data: rethinking data acquisitions to enable replications.

Vittorio Iacovella


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  <identifier identifierType="DOI">10.5281/zenodo.7594429</identifier>
  <creators>
    <creator>
      <creatorName>Vittorio Iacovella</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0853-1573</nameIdentifier>
      <affiliation>The University of Trento, ITRN</affiliation>
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  <titles>
    <title>Structuring experimental data: rethinking data acquisitions to enable replications.</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2023</publicationYear>
  <subjects>
    <subject>openscience, opendata, bids, FAIR, FAIRprinciples, Replication, Reproducibility</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2023-02-01</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Presentation</resourceType>
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  <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;Reproducibility and replicability shape up research routines, starting from data acquisition. Building structured, machine readable data collections is a way to make your research reproducible and foster replication&lt;/p&gt;</description>
    <description descriptionType="Other">30' presentation for "Introductory training on open science" with Carlo Miniussi, Marta Bortoletto and Michele Scandola. Verona University (Italy), February 1st 2023</description>
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