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  <identifier identifierType="Handle">21.15109/ARP/WG85Q0</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Zoltán, Hegedűs</creatorName>
      <givenName>Hegedűs</givenName>
      <familyName>Zoltán</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0001-9459-1654</nameIdentifier>
      <affiliation>Biological Research Centre, Szeged</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Reanalysis of Omics Data</title>
  </titles>
  <publisher>ARP</publisher>
  <publicationYear>2026</publicationYear>
  <subjects>
    <subject>Medicine, Health and Life Sciences</subject>
  </subjects>
  <contributors>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Zoltán, Hegedűs</contributorName>
      <givenName>Hegedűs</givenName>
      <familyName>Zoltán</familyName>
      <affiliation>Biological Research Centre, Szeged</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Submitted">2026-03-25</date>
    <date dateType="Available">2026-03-25</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <relatedIdentifiers>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="Handle">21.15109/ARP/WG85Q0/CLZRV7</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="Handle">21.15109/ARP/WG85Q0/J4ARKJ</relatedIdentifier>
  </relatedIdentifiers>
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    <size>150727</size>
    <size>60162</size>
  </sizes>
  <formats>
    <format>application/pdf</format>
    <format>application/pdf</format>
  </formats>
  <version>1.0</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess"/>
    <rights rightsURI="http://creativecommons.org/licenses/by-nc/4.0" xml:lang="en">Creative Commons Attribution-NonCommercial 4.0 International License.</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">The rapid proliferation of high-throughput omics technologies has led to an unprecedented accumulation of publicly available biological datasets. While the technical possibilities of reanalyzing such data are widely recognized, the legal, ethical, and institutional frameworks governing their reuse remain complex and often underappreciated. This essay examines the legal and licensing landscape surrounding the reuse of omics data, with particular emphasis on differences between academic and industrial contexts and the specific sensitivities of medical research. Technical considerations are addressed in a supporting role, highlighting how legal constraints shape computational practice.</description>
  </descriptions>
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