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Dataset Open Access

GEDII Wearable Sensors Dataset of 8 Research Teams

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


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1434706", 
  "language": "eng", 
  "title": "GEDII Wearable Sensors Dataset of 8 Research Teams", 
  "issued": {
    "date-parts": [
      [
        2018, 
        9, 
        30
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "M\u00fcller, J\u00f6rg"
    }, 
    {
      "family": "G\u00fcnther, Elisabeth"
    }, 
    {
      "family": "Humbert, Anne Laure"
    }
  ], 
  "note": "R package of wearable sensors dataset of 8 research teams.", 
  "version": "1.0", 
  "type": "dataset", 
  "id": "1434706"
}
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