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Impact through engagement: Co-production of administrative data research and the approach of the Administrative Data Research Centre Northern Ireland.
Nelson, Elizabeth; Burns, Frances.
  • Nelson E; Administrative Data Research Centre Northern Ireland (ADRC NI), Ulster University.
  • Burns F; Administrative Data Research Centre Northern Ireland (ADRC NI), Queen's University Belfast.
Int J Popul Data Sci ; 5(3): 1369, 2020 Nov 10.
Article in English | MEDLINE | ID: covidwho-1234982
ABSTRACT

BACKGROUND:

The Administrative Data Research Centre Northern Ireland (ADRC NI) is a research partnership between Queen's University Belfast and Ulster University to facilitate access to linked administrative data for research purposes for public benefit and for evidence-based policy development. This requires a social licence extended by publics which is maintained by a robust approach to engagement and involvement.

APPROACH:

Public engagement is central to the ADRC NI approach to research. Research impact is pursued and secured through robust engagement and a model that moves towards co-production of research with publics and key stakeholders. This is done by focusing on data subjects (the cohort of people whose lives make up the datasets, placing value on experts by experience outside of academic knowledge, and working with public(s) as key data advocates, through project steering committees and targeted events with stakeholders. The work is led by a dedicated Public Engagement, Communications and Impact Manager.

DISCUSSION:

While there are strengths and limitations to the ADRC NI approach, examples of successful partnerships and clear pathways to impact demonstrate its utility and ability to amplify the positive impact of administrative data research. Working with publics as data use becomes more ubiquitous in a post-COVID-19 world will become more critical. ADRC NI's model is a potential way forward.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Journal: Int J Popul Data Sci Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Journal: Int J Popul Data Sci Year: 2020 Document Type: Article