Evidence map›Paper›PMID 35520099›Full record

SynthesisInternational journal of population data science2022

What makes administrative data "research-ready"? A systematic review and thematic analysis of published literature.

Louise Mc Grath-Lone, Matthew A Jay, Ruth Blackburn, Emma Gordon, Ania Zylbersztejn, Linda Wijlaars, Ruth Gilbert

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of population data science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Leveraging the American Housing Survey to Quantify Risk and Resilience.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Linking digital footprint data into longitudinal population studies.International journal of population data science · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Identifying neurodevelopmental disabilities from nationalised preschool health check.The Australian and New Zealand journal of psychiatry · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Louise Mc Grath-LoneInstitute of Health Informatics, University College London, UK.
Matthew A JayPopulation, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, UK.
Ruth BlackburnInstitute of Health Informatics, University College London, UK.
Emma GordonAdministrative Data Research UK, Economic & Social Research Council, UK.
Ania ZylbersztejnPopulation, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, UK.
Linda WijlaarsPopulation, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, UK.
Ruth GilbertInstitute of Health Informatics, University College London, UK.

Funding

Medical Research Council MR/S003797/1
6 · The paper itself

Abstract

Introduction: Administrative data are a valuable research resource, but are under-utilised in the UK due to governance, technical and other barriers (e.g., the time and effort taken to gain secure data access). In recent years, there has been considerable government investment in making administrative data "research-ready", but there is no definition of what this term means. A common understanding of what constitutes research-ready administrative data is needed to establish clear principles and frameworks for their development and the realisation of their full research potential. Objective: To define the characteristics of research-ready administrative data based on a systematic review and synthesis of existing literature. Methods: On 29 Results: Overall, we screened 2,375 records and identified 38 relevant studies published between 2012 and 2021. Most related to administrative data from the UK and US and particularly to health data. The term research-ready was used inconsistently in the literature and there was some conflation with the concept of data being ready for statistical analysis. From the thematic analysis, we identified five defining characteristics of research-ready administrative data: (a) accessible, (b) broad, (c) curated, (d) documented and (e) enhanced for research purposes. Conclusions: Our proposed characteristics of research-ready administrative data could act as a starting point to help data owners and researchers develop common principles and standards. In the more immediate term, the proposed characteristics are a useful framework for cataloguing existing research-ready administrative databases and relevant resources that can support their development.

Indexed as

HumansUnited Kingdomadministrative dataresearch-readysystematic reviewthematic analysis

Identifiers

PMID35520099
PMCPMC9052961

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.