ArticleScientific data2021
Accessible data curation and analytics for international-scale citizen science datasets.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- SARS-CoV-2 infection following booster vaccination: Illness and symptom profile in a prospective, observational community-based case-control study.The Journal of infection · 2023Observational
- Machine Learning-Based Approach to Developing Potent EGFR Inhibitors for Breast Cancer-Design, Synthesis, and In Vitro Evaluation.ACS omega · 2023Article
- The effects of COVID-19 on cognitive performance in a community-based cohort: a COVID symptom study biobank prospective cohort study.EClinicalMedicine · 2023Article
- ELI: an IoT-aware big data pipeline with data curation and data quality.PeerJ. Computer science · 2023Article
- Post-vaccination infection rates and modification of COVID-19 symptoms in vaccinated UK school-aged children and adolescents: A prospective longitudinal cohort study.The Lancet regional health. Europe · 2022Article
- COVID-19 due to the B.1.617.2 (Delta) variant compared to B.1.1.7 (Alpha) variant of SARS-CoV-2: a prospective observational cohort study.Scientific reports · 2022Observational
- Addressing the clinical unmet needs in primary Sjögren's Syndrome through the sharing, harmonization and federated analysis of 21 European cohorts.Computational and structural biotechnology journal · 2022Article
- Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app.Journal of neurology, neurosurgery, and psychiatry · 2021Article
- Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app.medRxiv : the preprint server for health sciences · 2021Article
- Vaccine side-effects and SARS-CoV-2 infection after vaccination in users of the COVID Symptom Study app in the UK: a prospective observational study.The Lancet. Infectious diseases · 2021Observational
- Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study.The Lancet. Public health · 2021Observational
- Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study.medRxiv : the preprint server for health sciences · 2020Article
Corrections and comments
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Authors and funding
20 authors.
Funding
Abstract
The Covid Symptom Study, a smartphone-based surveillance study on COVID-19 symptoms in the population, is an exemplar of big data citizen science. As of May 23rd, 2021, over 5 million participants have collectively logged over 360 million self-assessment reports since its introduction in March 2020. The success of the Covid Symptom Study creates significant technical challenges around effective data curation. The primary issue is scale. The size of the dataset means that it can no longer be readily processed using standard Python-based data analytics software such as Pandas on commodity hardware. Alternative technologies exist but carry a higher technical complexity and are less accessible to many researchers. We present ExeTera, a Python-based open source software package designed to provide Pandas-like data analytics on datasets that approach terabyte scales. We present its design and capabilities, and show how it is a critical component of a data curation pipeline that enables reproducible research across an international research group for the Covid Symptom Study.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.