Cited by 133Research Data Management PracticesData Analysis and ArchivingInterdisciplinary Research and Collaboration

Data Bite Man: The Work of Sustaining a Long-Term Study

Ribes, David, Jackson, Steven J.·2013·"Raw Data" Is an Oxymoron

Integrity signals

Registry

Crossref · 10.7551/mitpress/9302.003.0010

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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 data used in urban science do not exist independently of the ideas, instruments, practices, contexts, knowledge and systems that generate and process them.

    “On the one hand, the data used do not exist independently of the ideas, instruments, practices, contexts, knowledge and systems used to generate and process them [74].”

    From The ethics of smart cities and urban science (2016) · cites this paper as [74]

Cited by

Sorted by citations

Authors
Ribes, D., & Jackson, S. J.
Venue
"Raw Data" Is an Oxymoron
Publisher
The MIT Press
Published
2013-01-25
Pages
147-166
OpenAlex
W4232230082
Cited by
133
References
0
Citations by year
2026: 2 · 2025: 30 · 2024: 3 · 2023: 19 · 2022: 11 · 2021: 7 · 2020: 18 · 2019: 9 · 2018: 6 · 2017: 9 · 2016: 6 · 2015: 7 · 2014: 5 · 2013: 1
FWCI
24.44
Type
book chapter
Language
en
Open access
closed
Locations
The MIT Press eBooks (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
  • Social Sciences › Sociology and Political Science › Data Analysis and Archiving
  • Social Sciences › Decision Sciences › Information Systems and Management › Interdisciplinary Research and Collaboration
Keywords
long-term research, data collection, data management, research sustainability, data curation

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