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Supplementary Material for "Sensor-based proximity metrics for team research"

Müller, Jörg; Meneses, Julio; Humbert, Anne Laure; Guenther, Elisabeth Anna


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  <identifier identifierType="DOI">10.5281/zenodo.3909306</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>Universitat Oberta de Catalunya</affiliation>
    </creator>
    <creator>
      <creatorName>Meneses, Julio</creatorName>
      <givenName>Julio</givenName>
      <familyName>Meneses</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4959-456X</nameIdentifier>
      <affiliation>Universitat Oberta de Catalunya</affiliation>
    </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 University</affiliation>
    </creator>
    <creator>
      <creatorName>Guenther, Elisabeth Anna</creatorName>
      <givenName>Elisabeth Anna</givenName>
      <familyName>Guenther</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0929-4538</nameIdentifier>
      <affiliation>Vienna University of Economics and Business</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Supplementary Material for "Sensor-based proximity metrics for team research"</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>wearable sensors</subject>
    <subject>sociometric badges</subject>
    <subject>bluetooth</subject>
    <subject>infrared</subject>
    <subject>team science</subject>
    <subject>work group</subject>
    <subject>gender diversity</subject>
    <subject>organization</subject>
    <subject>context</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-06-26</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Other</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3909306</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="Cites">10.5281/zenodo.1434705</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3446010</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.2</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 collection of files provides supplementary material to the article on &amp;quot;Sensor-based proximity metrics for team research. A validation study across three organizational contexts.&amp;quot;&lt;/p&gt;

&lt;p&gt;S1 - Supplementary Tables. Contain results of quantitative analysis in table format.&lt;/p&gt;

&lt;p&gt;S2 - Supplementary Settings. Contains the firmware settings of the Sociometric badges devices.&lt;/p&gt;

&lt;p&gt;S3 - Supplementary Illustrations. Contains illustrations of simulated reference distributions, work environment layout among others.&lt;/p&gt;

&lt;p&gt;S4 - Collection of R scripts used for the analysis. To re-run the analysis, all files need to be downloaded into the same folder. Instructions for installing required R software packages are provided in the corresponding scripts. &amp;nbsp;&lt;/p&gt;

&lt;p&gt;The dataset (version 1.1.2) is available under the following link: https://doi.org/10.5281/zenodo.3446071&lt;/p&gt;</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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