New research methodology

In conventional research, questionnaires may lack objectivity while experimental testing is time-consuming, expensive and may lack ecological validity. These issues can be solved when training data of participants is used. The Research Portal allows collecting fast amounts of wearable data effortless.

Usage of wearable data for research

People collect a wealth of information using sport watches, smartphones and activity trackers. Their activity data provides an objective source to assess for example daily activity, sleep patterns, training behaviour, running technique and training load. The large quantity of data and the objective nature of this data make activity trackers ideal to tackle scientific challenges on multi-facetted constructs such as performance or injury incidence.

Using these different types and brands of wearables for research might result in technical challenges which you can overcome by using the Research Portal.

 

  • Support for .fit, .tcx, .gps, .json (polar)
  • Syncing with Garmin | Suunto | Polar | Strava | other
  • Privacy protected
  • Standardised
  • Ready for statistical analysis

 

What is the research portal?

The research portal is a cloud environment that handles and processes wearable data. Wearable data of almost all brands and devices are supported (such as .fit, .tcx and .gpx files). The processing is specifically designed for scientific research which includes data reading, standardizing, handling privacy-sensitive data and checking the quality of the data. With computational power to process data of thousands of participants big data analysis can be applied to any type of study. With a convenient dashboard, researchers can monitor participant contribution and download structured metadata of all files. The research portal will save you a tremendous job in data collection and pre-processing, so you can focus directly on the statistical analysis.

How does it work?

  1. Researcher sends a unique link to participants
  2. Participants upload or sync their training data
  3. Data is processed and pseudonymised. Metadata is added and prepared for statistical analysis. 
  4. Researcher downloads the data and metadata from the Research Platform. 

 

 

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