What does data sovereignty imply? What does it look like?
Open accessAbstract
What does data sovereignty imply: what does it look like?
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The United States collects data for monitoring and surveillance purposes.
“The United States collects data for monitoring and surveillance purposes (Rodriguez-Lonebear, 2016;Snipp, 2016).”
From Data as a Strategic Resource: Self-determination, Governance, and the Data Challenge for Indigenous Nations in the United States (2017) · cites this paper as Snipp, 2016
The “Data about what and for what? Data content” section says settler states may collect data to monitor and surveil Indigenous communities, in a discussion of American Indians in the United States. It does not establish as a general fact that the United States collects data for that purpose; the citing sentence removes both the qualification and the population scope. No page number is available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measuredFor Indigenous populations and nations, standardized data often do not exist.
“Yet for Indigenous populations and nations, standardized data often do not exist (Rodriguez-Lonebear, 2016;Snipp, 2016;Tribal Epidemiology Centers, 2013).”
From Data as a Strategic Resource: Self-determination, Governance, and the Data Challenge for Indigenous Nations in the United States (2017) · cites this paper as Snipp, 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 5
- Clifford J (2013). Returns: becoming indigenous in the 21st century, Harvard University Press, Cambridge, Mass.
- Kovach M (2010). Indigenous methodologies: characteristics, conversations, and contexts, University of Toronto Press, Toronto.
- Kymlicka W (1995). Multicultural citizenship: a liberal theory of minority rights, Oxford University Press, New York.
- Lambert L (2014). Research for indigenous survival: indigenous research methodologies in the behavioral sciences, University of Nebraska Press for the Salish Kootenai College Press, Lincoln, Nebr.
- Lerma M (2014). Indigenous sovereignty in the 21st century: knowledge for the indigenous spring, Florida Academic Press, Gainesville, Fla.
Cited by
Sorted by citations
Rainie, S. C., Schultz, J. L., Briggs, E., Riggs, P., & Palmanteer-Holder, N. L. (2017) · International Indigenous Policy Journal · doi:10.18584/iipj.2017.8.2.1 · Cited by 114 · see citing works
- Authors
- Snipp, C. M.
- Corresponding author
- Snipp, C Matthew
- ORCID
- Snipp, C Matthew
- Venue
- Indigenous Data Sovereignty
- Publisher
- ANU Press
- Published
- 2016-11-14
- OpenAlex
- W2626528633
- Cited by
- 77
- References
- 0
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 10 · 2023: 13 · 2022: 9 · 2021: 17 · 2020: 7 · 2019: 3 · 2018: 2 · 2017: 1
- FWCI
- 20.62
- Type
- book chapter
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ANU Press eBooks (publishedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Topics
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Political Science and International Relations › Security, Politics, and Digital Transformation
- Social Sciences › Political Science and International Relations › Cybersecurity and Cyber Warfare Studies
- Keywords
- data sovereignty, data governance, data control, data ownership
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review