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GEDII Wearable Sensors Dataset of 8 Research Teams

Müller, Jörg; Günther, Elisabeth; Humbert, Anne Laure


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  <identifier identifierType="DOI">10.5281/zenodo.1434706</identifier>
  <creators>
    <creator>
      <creatorName>Müller, Jörg</creatorName>
      <givenName>Jörg</givenName>
      <familyName>Müller</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7727-2117</nameIdentifier>
      <affiliation>Universidad Oberta de Catalunya</affiliation>
    </creator>
    <creator>
      <creatorName>Günther, Elisabeth</creatorName>
      <givenName>Elisabeth</givenName>
      <familyName>Günther</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0929-4538</nameIdentifier>
    </creator>
    <creator>
      <creatorName>Humbert, Anne Laure</creatorName>
      <givenName>Anne Laure</givenName>
      <familyName>Humbert</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1544-5884</nameIdentifier>
      <affiliation>Oxford Brookes</affiliation>
    </creator>
  </creators>
  <titles>
    <title>GEDII Wearable Sensors Dataset of 8 Research Teams</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Wearable Sensors; Sociometric Badges; Gender Diversity; Bluetooth; Infrared; Accelerometer; Microphone; Teams; Team Science; Dynamic Networks;</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-09-30</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1434706</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1434705</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0</version>
  <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;The dataset contains Bluetooth (proximity), Infrared (face-to-face), Speech (microphone) and Accelerometer (body activity) data of 8 research teams collected during 5 working days in each team. Altogether N is 76 team members. Socio-demographic data as well as round-robin ratings regarding friendship and advice seeking is included. Data was collected using Sociometric badges by Humanyze (formerly Sociometric Solutions).&lt;/p&gt;

&lt;p&gt;The present dataset has been produced within the context of a EU funded H2020 research project called &amp;ldquo;Gender-Diversity-Impact: Improving Research and Innovation through Gender Diversity. (GEDII)&amp;rdquo;. The project has been running from 2015 to 2018 with the aim to develop new tools and methods for doing research on the impact of gender diversity in R&amp;amp;D teams. In order to address these questions, GEDII makes use of a variety of research methods, including a cross country survey, bibliometric &amp;amp; patent analysis and detailed case studies with R&amp;amp;D teams.&lt;/p&gt;

&lt;p&gt;The dataset is distributed as R package.&lt;/p&gt;</description>
    <description descriptionType="Other">R package of wearable sensors dataset of 8 research teams.</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/665851/">665851</awardNumber>
      <awardTitle>Gender Diversity Impact – Improving research and innovation through gender diversity</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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