Evidence map›Paper›PMID 38111046›Full record

ReviewHealth research policy and systems2023

Using collective intelligence methods to improve government data infrastructures and promote the use of complex data: The example of the Northern Ireland Longitudinal Study.

Estelle Lowry, Michael J Hogan, John Moriarty, Owen M Harney, Erna Ruijer, Monika Pilch, Jenny M Groarke, Michelle Hanlon, Ian Shuttleworth

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Health research policy and systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors.

Estelle Lowry *School of Natural and Built Environment, Queen's University Belfast, University Street, BT7 1NN, Belfast, Northern Ireland. e.lowry@qub.ac.uk.ORCID http://orcid.org/0000-0002-4655-416X
Michael J Hogan *School of Psychology, University of Galway, Galway, Ireland. michael.hogan@nuigalway.ie.
John MoriartySchool of Social Sciences, Education and Social Work, Queen's University Belfast, BT7 1NN, Belfast, Northern Ireland.
Owen M HarneySchool of Psychology, University of Galway, Galway, Ireland.
Erna Ruijer
Monika PilchSchool of Medicine, Trinity College Dublin, Dublin, Ireland.
Jenny M GroarkeSchool of Psychology, University of Galway, Galway, Ireland.
Michelle HanlonSchool of Psychology, University of Galway, Galway, Ireland.
Ian ShuttleworthSchool of Natural and Built Environment, Queen's University Belfast, University Street, BT7 1NN, Belfast, Northern Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis paper discusses how collective intelligence (CI) methods can be implemented to improve government data infrastructures, not only to support understanding and primary use of complex national data but also to increase the dissemination and secondary impact of research based on these data. The case study uses the Northern Ireland Longitudinal Study (NILS), a member of the UK family of census/administrative data longitudinal studies (UKLS).

methodsA stakeholder-engaged CI approach was applied to inform the transformation of the NILS Research Support Unit (RSU) infrastructure to support researchers in their use of government data, including collaborative decision-making and better dissemination of research outputs.

resultsWe provide an overview of NILS RSU infrastructure design changes that have been implemented to date, focusing on a website redesign to meet user information requirements and the formation of better working partnerships between data users and providers within the Northern Ireland data landscape. We also discuss the key challenges faced by the design team during this project of transformation.

conclusionOur primary objective to improve government data infrastructure and to increase dissemination and the impact of research based on data was a complex and multifaceted challenge due to the number of stakeholders involved and their often conflicting perspectives. Results from this CI approach have been pivotal in highlighting how NILS RSU can work collaboratively with users to maximize the potential of this data, in terms of forming multidisciplinary networks to ensure the research is utilized in policy and in the literature and providing academic support and resources to attract new researchers.

Indexed as

GovernmentResearch DesignHumansLongitudinal StudiesNorthern IrelandPolicyCollective intelligenceDataData infrastructureOpen access

Identifiers

PMID38111046
PMCPMC10726592

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.