Published April 13, 2024 | Version 1.5
Dataset Open

GEDII Wearable Sensors Dataset of 10 Research Teams

  • 1. Universidad Oberta de Catalunya
  • 2. Vienna University of Economics and Business
  • 3. Oxford Brookes

Description

The dataset contains Bluetooth (proximity), Infrared (face-to-face), Speech (microphone) and Accelerometer (body activity) data of 10 research teams collected during 5 working days in each team. Altogether N=105 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&D teams. In order to address these questions, GEDII makes use of a variety of research methods, including a cross country survey, bibliometric & patent analysis and detailed case studies with R&D teams.

The dataset is distributed as R package.

Notes

R package of wearable sensors dataset of 10 research teams.

Files

Files (41.3 MB)

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md5:5553c8bfe4985db6e4d67a57803e9a92
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Additional details

Funding

European Commission
GEDII - Gender Diversity Impact – Improving research and innovation through gender diversity 665851

Software

Programming language
R