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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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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Müller, Jörg</dc:creator>
  <dc:creator>Günther, Elisabeth</dc:creator>
  <dc:creator>Humbert, Anne Laure</dc:creator>
  <dc:description>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).

The present dataset has been produced within the context of a EU funded H2020 research project called “Gender-Diversity-Impact: Improving Research and Innovation through Gender Diversity. (GEDII)”. 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.

The dataset is distributed as R package.</dc:description>
  <dc:description>R package of wearable sensors dataset of 8 research teams.</dc:description>
  <dc:subject>Wearable Sensors; Sociometric Badges; Gender Diversity; Bluetooth; Infrared; Accelerometer; Microphone; Teams; Team Science; Dynamic Networks;</dc:subject>
  <dc:title>GEDII Wearable Sensors Dataset of 8 Research Teams</dc:title>
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