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GEDII Wearable Sensors Dataset of 8 Research Teams

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


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    "title": "GEDII Wearable Sensors Dataset of 8 Research Teams", 
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        "title": "Gender Diversity Impact \u2013 Improving research and innovation through gender diversity", 
        "acronym": "GEDII", 
        "program": "H2020", 
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    "keywords": [
      "Wearable Sensors; Sociometric Badges; Gender Diversity; Bluetooth; Infrared; Accelerometer; Microphone; Teams; Team Science; Dynamic Networks;"
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    "publication_date": "2018-09-30", 
    "creators": [
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        "affiliation": "Universidad Oberta de Catalunya", 
        "name": "M\u00fcller, J\u00f6rg"
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        "orcid": "0000-0003-0929-4538", 
        "name": "G\u00fcnther, Elisabeth"
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        "affiliation": "Oxford Brookes", 
        "name": "Humbert, Anne Laure"
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    "description": "<p>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).</p>\n\n<p>The present dataset has been produced within the context of a EU funded H2020 research project called &ldquo;Gender-Diversity-Impact: Improving Research and Innovation through Gender Diversity. (GEDII)&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;D teams. In order to address these questions, GEDII makes use of a variety of research methods, including a cross country survey, bibliometric &amp; patent analysis and detailed case studies with R&amp;D teams.</p>\n\n<p>The dataset is distributed as R package.</p>"
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