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Accessible data curation and analytics for international-scale citizen science datasets.

Benjamin Murray1, Eric Kerfoot2, Liyuan Chen2

  • 1King's College London, School of Biomedical Engineering & Imaging Sciences, London, SE1 7EU, United Kingdom. benjamin.murray@kcl.ac.uk.

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The Covid Symptom Study, a large citizen science project, faced data curation challenges due to its massive scale. ExeTera software was developed to enable big data analytics for reproducible COVID-19 research.

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Area of Science:

  • Big data analytics
  • Citizen science
  • Epidemiological surveillance

Background:

  • The Covid Symptom Study, a smartphone-based surveillance initiative, has amassed over 5 million participants and 360 million self-assessment reports since March 2020.
  • The study's success presents significant data curation challenges due to the sheer scale of the dataset, exceeding the capabilities of standard data analytics tools.

Purpose of the Study:

  • To address the data curation challenges posed by the large scale of the Covid Symptom Study.
  • To introduce ExeTera, an open-source software package designed for big data analytics.
  • To facilitate reproducible research within international collaborations.

Main Methods:

  • Development of ExeTera, a Python-based software package.
  • Implementation of ExeTera within the Covid Symptom Study's data curation pipeline.
  • Demonstration of ExeTera's capability to handle terabyte-scale datasets with Pandas-like functionality.

Main Results:

  • ExeTera provides accessible, Pandas-like data analytics for datasets approaching terabyte scales.
  • The software enables efficient data curation for large-scale citizen science projects.
  • ExeTera supports reproducible research across international research groups.

Conclusions:

  • ExeTera is a critical tool for managing and analyzing big data from citizen science initiatives like the Covid Symptom Study.
  • The software overcomes technical barriers in big data analytics, making it more accessible to researchers.
  • ExeTera enhances the potential for reproducible and collaborative research in public health surveillance.