Conference paper Open Access

Towards Generating Policy-Compliant Datasets

Debruyne, Christophe; Pandit, Harshvardhan J.; Lewis, Dave; O'Sullivan, Declan


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <controlfield tag="005">20200120154217.0</controlfield>
  <controlfield tag="001">3246449</controlfield>
  <datafield tag="711" ind1=" " ind2=" ">
    <subfield code="g">ICSC</subfield>
    <subfield code="a">IEEE 13th International Conference on Semantic Computing</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ADAPT Centre, Trinity College Dubln</subfield>
    <subfield code="0">(orcid)0000-0002-5068-3714</subfield>
    <subfield code="a">Pandit, Harshvardhan J.</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ADAPT Centre, Trinity College Dubln</subfield>
    <subfield code="0">(orcid)0000-0002-3503-4644</subfield>
    <subfield code="a">Lewis, Dave</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ADAPT Centre, Trinity College Dubln</subfield>
    <subfield code="0">(orcid)0000-0003-1090-3548</subfield>
    <subfield code="a">O'Sullivan, Declan</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">538443</subfield>
    <subfield code="z">md5:987b7c30c48d4490887c5938ab171478</subfield>
    <subfield code="u">https://zenodo.org/record/3246449/files/2019_conference_towards_generating_policy_compliant_datasets.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2019-03-14</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="o">oai:zenodo.org:3246449</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">ADAPT Centre, Trinity College Dubln</subfield>
    <subfield code="0">(orcid)0000-0003-4734-3847</subfield>
    <subfield code="a">Debruyne, Christophe</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Towards Generating Policy-Compliant Datasets</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">13/RC/2106</subfield>
    <subfield code="a">ADAPT: Centre for Digital Content Platform Research</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;The development of intelligent (e.g., AI-based) applications increasingly requires governance models and processes, as financial legal sanctions are more and more being associated with violation of policies. We propose an ontology representing the informed consent that was collected by an organization and argue how it can be used to assess a dataset prior its use in any type of data processing activities. We demonstrate the utility of our ontology using a particular scenario, where datasets are generated &amp;ldquo;just in time&amp;rdquo; for a particular purpose such as sending newsletters. This scenario shows how data processing activities can be managed to in such a way as to support compliance verification. This paper furthermore compares the contributions to related work and positions it into prior work concerned with the broader problem of prescribing and analyzing compliance.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.3246448</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.3246449</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">conferencepaper</subfield>
  </datafield>
</record>
21
28
views
downloads
All versions This version
Views 2121
Downloads 2828
Data volume 15.1 MB15.1 MB
Unique views 2121
Unique downloads 2828

Share

Cite as