Bowser, A;
Cooper, C;
De Sherbinin, A;
Wiggins, A;
Brenton, P;
Chuang, TR;
Faustman, E;
... Meloche, M; + view all
(2020)
Still in Need of Norms: The State of the Data in Citizen Science.
Citizen Science: Theory and Practice
, 5
(1)
, Article 18. 10.5334/CSTP.303.
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Abstract
This article offers an assessment of current data practices in the citizen science, community science, and crowdsourcing communities. We begin by reviewing current trends in scientific data relevant to citizen science before presenting the results of our qualitative research. Following a purposive sampling scheme designed to capture data management practices from a wide range of initiatives through a landscape sampling methodology (Bos et al. 2007), we sampled 36 projects from English-speaking countries. The authors used a semi-structured protocol to interview project proponents (either scientific leads or data managers) to better understand how projects are addressing key aspects of the data lifecycle, reporting results through descriptive statistics and other analyses. Findings suggest that citizen science projects are doing well in terms of data quality assessment and governance, but are sometimes lacking in providing open access to data outputs, documenting data, ensuring interoperability through data standards, or building robust and sustainable infrastructure. Based on this assessment, the paper presents a number of recommendations for the citizen science community related to data quality, data infrastructure, data governance, data documentation, and data access.
| Type: | Article |
|---|---|
| Title: | Still in Need of Norms: The State of the Data in Citizen Science |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.5334/CSTP.303 |
| Publisher version: | https://doi.org/10.5334/CSTP.303 |
| Language: | English |
| Additional information: | This is an Open Access article published under a Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/). |
| Keywords: | citizen science, crowdsourcing, data, data management, FAIR, data quality |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10127579 |
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