Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 140E-Government and Public ServicesSmart Cities and TechnologiesResearch Data Management Practices

The DOI matches its DataCite record.

The State of Open Data: Histories and Horizons

Open access
Davies, Tim, Walker, Stephen B, Rubinstein, M, Perini, F·2019·Zenodo

Abstract

It’s been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address a myriad of social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain. How will open data initiatives respond to new concerns about privacy, inclusion, and artificial intelligence? And what can we learn from the last decade in order to deliver impact where it is most needed? The State of Open Data brings together over 60 authors from around the world to address these questions and to take stock of the real progress made to date across sectors and around the world, uncovering the issues that will shape the future of open data in the years to come.

Overview

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

DataCite · 10.5281/zenodo.2668475

Cites

Statistics

Verification

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.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

Metadata

Authors
Davies, T., Walker, S. B., Rubinstein, M., & Perini, F.
Venue
Zenodo
Publisher
Zenodo
Published
2019-05-20
OpenAlex
W4288350322
Cited by
140
References
0
Citations by year
2026: 8 · 2025: 22 · 2024: 21 · 2023: 26 · 2022: 17 · 2021: 28 · 2020: 17 · 2019: 1
FWCI
18.50
Type
book
Language
en
Open access
Locations
  • African Minds eBooks (publishedVersion, cc-by)
  • BiblioBoard Library Catalog (Open Research Library) (submittedVersion, cc-by)
  • Directory of Open access Books (OAPEN Foundation) (submittedVersion, cc-by)
  • OAPEN (The OAPEN Foundation) (submittedVersion, cc-by)
  • Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) (submittedVersion)
  • Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by)
  • Zenodo (CERN European Organization for Nuclear Research) (cc-by)
Funders
  • United States Agency for International Development
  • John S. and James L. Knight Foundation
  • FHI 360
  • Government of Canada
  • York University
  • International Development Research Centre
  • Department for International Development
  • Global Affairs Canada
Topics
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
  • Social Sciences › Urban Studies › Smart Cities and Technologies
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
Keywords
open data, data rights, data privacy, artificial intelligence, inclusion, open data initiatives, communities of practice, socio-economic problems

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

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.