Exploring barriers and solutions in advancing cross-centre population data science
Introduction It is widely acknowledged that population health and administrative data, especially when linked at the individual level, hold great value for research. Cross-centre working between data centres providing access to such data has the potential to further increase this value by effectivel...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Swansea University
2019-08-01
|
| Series: | International Journal of Population Data Science |
| Subjects: | |
| Online Access: | https://ijpds.org/article/view/1109 |
| _version_ | 1827616606430167040 |
|---|---|
| author | Kerina H Jones Sharon M Heys Helen Daniels David V Ford |
| author_facet | Kerina H Jones Sharon M Heys Helen Daniels David V Ford |
| author_sort | Kerina H Jones |
| collection | DOAJ |
| description | Introduction
It is widely acknowledged that population health and administrative data, especially when linked at the individual level, hold great value for research. Cross-centre working between data centres providing access to such data has the potential to further increase this value by effectively expanding the data available for research. However, there is limited published information on how to address the challenges and achieve success. The aim of this paper is to explore perceived barriers and solutions to inform developments in cross-centre working across data centres.
Methods
We carried out a narrative literature review on data sharing and cross centre working. We used a mixed methods approach to assess the opinions of members of the public on cross-centre data sharing, and the views and experiences of among data centre staff connected with the UK Farr Institute for Health Informatics Research.
Results
The literature review uncovered a myriad of practical and cultural issues. Our engagement with a public group suggested that cross-centre working involving anonymised data being moved between established centres is considered acceptable. The main themes emerging from discussions with data centre staff were dedicated resourcing, practical issues, information governance and culture.
Conclusion
In seeking to advance cross-centre working between data centres, we conclude that there is a need for dedicated resourcing, indicators to recognise data reuse, collaboration to solve common issues, and balancing necessary barrier removal with incentivisation. This will require on-going commitment, engagement and an academic culture change. |
| first_indexed | 2024-03-09T09:29:23Z |
| format | Article |
| id | doaj.art-d1a20662ee8341a6979553195a0768bf |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T09:29:23Z |
| publishDate | 2019-08-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-d1a20662ee8341a6979553195a0768bf2023-12-02T05:01:01ZengSwansea UniversityInternational Journal of Population Data Science2399-49082019-08-014110.23889/ijpds.v4i1.1109Exploring barriers and solutions in advancing cross-centre population data scienceKerina H Jones0Sharon M Heys1Helen Daniels2David V Ford3Population Data Science, Swansea University Medical School, Singleton Park, Swansea SA2 8PPPopulation Data Science, Swansea University Medical School, Singleton Park, Swansea SA2 8PPPopulation Data Science, Swansea University Medical School, Singleton Park, Swansea SA2 8PPPopulation Data Science, Swansea University Medical School, Singleton Park, Swansea SA2 8PPIntroduction It is widely acknowledged that population health and administrative data, especially when linked at the individual level, hold great value for research. Cross-centre working between data centres providing access to such data has the potential to further increase this value by effectively expanding the data available for research. However, there is limited published information on how to address the challenges and achieve success. The aim of this paper is to explore perceived barriers and solutions to inform developments in cross-centre working across data centres. Methods We carried out a narrative literature review on data sharing and cross centre working. We used a mixed methods approach to assess the opinions of members of the public on cross-centre data sharing, and the views and experiences of among data centre staff connected with the UK Farr Institute for Health Informatics Research. Results The literature review uncovered a myriad of practical and cultural issues. Our engagement with a public group suggested that cross-centre working involving anonymised data being moved between established centres is considered acceptable. The main themes emerging from discussions with data centre staff were dedicated resourcing, practical issues, information governance and culture. Conclusion In seeking to advance cross-centre working between data centres, we conclude that there is a need for dedicated resourcing, indicators to recognise data reuse, collaboration to solve common issues, and balancing necessary barrier removal with incentivisation. This will require on-going commitment, engagement and an academic culture change.https://ijpds.org/article/view/1109Population Data Sciencecross-centre workingdata sharing |
| spellingShingle | Kerina H Jones Sharon M Heys Helen Daniels David V Ford Exploring barriers and solutions in advancing cross-centre population data science International Journal of Population Data Science Population Data Science cross-centre working data sharing |
| title | Exploring barriers and solutions in advancing cross-centre population data science |
| title_full | Exploring barriers and solutions in advancing cross-centre population data science |
| title_fullStr | Exploring barriers and solutions in advancing cross-centre population data science |
| title_full_unstemmed | Exploring barriers and solutions in advancing cross-centre population data science |
| title_short | Exploring barriers and solutions in advancing cross-centre population data science |
| title_sort | exploring barriers and solutions in advancing cross centre population data science |
| topic | Population Data Science cross-centre working data sharing |
| url | https://ijpds.org/article/view/1109 |
| work_keys_str_mv | AT kerinahjones exploringbarriersandsolutionsinadvancingcrosscentrepopulationdatascience AT sharonmheys exploringbarriersandsolutionsinadvancingcrosscentrepopulationdatascience AT helendaniels exploringbarriersandsolutionsinadvancingcrosscentrepopulationdatascience AT davidvford exploringbarriersandsolutionsinadvancingcrosscentrepopulationdatascience |