The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
FAIR data, fair data: data management principles and data ownership in citizen science
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Citations
Cites
The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423 · cited 7×
“One of my interviewees, an ecologist who is very enthusiastic about sharing the data with his participants and produces an updated dataset for every month of monitoring, explained why he does not use Darwin Core, the standards of GBIF for enabling Interoperability and Reusability: Darwin Core?”
InfluentialBig other: Surveillance Capitalism and the Prospects of an Information Civilization
Zuboff, S. (2015) · Journal of Information Technology · doi:10.1057/jit.2015.5 · Cited by 3,205 · cited 1×
“But in a world where multinational conglomerates routinely harvest data from each step and heartbeat of ‘users’ (Zuboff, 2015), even CS data could be used for surveillance or other unethical purposes.”
How Less Alienation Creates More Exploitation? Audience Labour on Social Network Sites.
Fisher, E. (2012) · tripleC: Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society · doi:10.31269/triplec.v10i2.392 · Cited by 75
Toward openness and transparency to better facilitate knowledge creation
Mahony, S. (2022) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24652 · Cited by 9
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Metadata
- Authors
- Schwarzfuchs, E. N.
- Venue
- Information, Communication & Society
- Publisher
- Informa UK Limited
- Published
- 2025-12-16
- Volume
- 29
- Issue
- 11
- Pages
- 3387-3403
- ISSN
- 1369-118X
- 1468-4462
- Cited by
- 3
- References
- 4
- Language
- en
- Licence
- creativecommons.org/licenses/by/4.0/ (vor)
- doi.org/10.1080/policies-text-data-mining (tdm)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: FAIR data, fair data: data management principles and data ownership in citizen science. https://app.cochat.ai/papers/10.1080/1369118x.2025.2604664
- The paper
- Schwarzfuchs, E. N. (2026). FAIR data, fair data: data management principles and data ownership in citizen science. Information, Communication & Society. https://doi.org/10.1080/1369118x.2025.2604664
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
