AD|ARC: Construction of a research ready dataset to better understand farmers and farming households.
Objectives The AD|ARC Administrative Data: Agriculture Research Collection is an ambitious and original linkage project, bringing together information about farmers and farming households from several sources. When complete, this research-ready dataset will assist in addressing three broad themes: h...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Swansea University
2022-08-01
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| Series: | International Journal of Population Data Science |
| Subjects: | |
| Online Access: | https://ijpds.org/article/view/1905 |
| _version_ | 1797422896958668800 |
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| author | Jennifer Hampton Nicholas Webster Sophie Jordan Sian Morrison-Rees Orla Bateson James Watson Scott McFarlane Alastair McAlpine Liam Cavin |
| author_facet | Jennifer Hampton Nicholas Webster Sophie Jordan Sian Morrison-Rees Orla Bateson James Watson Scott McFarlane Alastair McAlpine Liam Cavin |
| author_sort | Jennifer Hampton |
| collection | DOAJ |
| description | Objectives
The AD|ARC Administrative Data: Agriculture Research Collection is an ambitious and original linkage project, bringing together information about farmers and farming households from several sources. When complete, this research-ready dataset will assist in addressing three broad themes: health and well-being, prosperity and resilience, and engagement with agri-environment.
Approach
The dataset is being constructed from information drawn from survey, census, and administrative sources. Necessarily, this includes working across government departments to ensure comprehensive coverage of farm, business, education, and health data. Similarly, data owners, processors, and researchers are working closely to ensure the resultant dataset meets expectations. Alongside this cross-sectoral aspect, the work is also cross-jurisdictional, with the intention being for the data to capture information about farms, farmers and farming households from across the UK.
Results
Rather than focus on the detail of the substantive research that AD|ARC will enable, this paper discusses some of the challenges and successes of this linkage project to date. Drawing on the experience of the teams from across the UK (England, Northern Ireland, Scotland, and Wales), the first part will discuss challenges faced in linkage of this multi-faceted project, alongside how the population census is being utilised to better understand farming communities, through the identification of both farming households and workers. Secondly, a broader discussion of the challenges and sensitivities of working across government departments and administrations will be presented, alongside ways of working developed to recognise and overcome these.
Conclusion
The AD|ARC project will result in an invaluable resource to better understand the farming community, which in turn will help to better inform policy debate and decision making. Alongside this, the process of creating the dataset has offered opportunities for learning and insight across a range of issues.
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| first_indexed | 2024-03-09T07:39:03Z |
| format | Article |
| id | doaj.art-2d809c41450a4823863622db28870929 |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T07:39:03Z |
| publishDate | 2022-08-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-2d809c41450a4823863622db288709292023-12-03T05:02:36ZengSwansea UniversityInternational Journal of Population Data Science2399-49082022-08-017310.23889/ijpds.v7i3.1905AD|ARC: Construction of a research ready dataset to better understand farmers and farming households.Jennifer Hampton0Nicholas Webster1Sophie Jordan2Sian Morrison-Rees3Orla Bateson4James Watson5Scott McFarlane6Alastair McAlpine7Liam Cavin8Office for National StatisticsADR Wales, Welsh GovernmentOffice for National StatisticsADR Wales, Swansea UniversityNorthern Ireland Statistics and Research AgencyElectronic Data Research and Innovation ServiceRural and Environment Science and Analytical ServicesRural and Environment Science and Analytical ServicesNational Records ScotlandObjectives The AD|ARC Administrative Data: Agriculture Research Collection is an ambitious and original linkage project, bringing together information about farmers and farming households from several sources. When complete, this research-ready dataset will assist in addressing three broad themes: health and well-being, prosperity and resilience, and engagement with agri-environment. Approach The dataset is being constructed from information drawn from survey, census, and administrative sources. Necessarily, this includes working across government departments to ensure comprehensive coverage of farm, business, education, and health data. Similarly, data owners, processors, and researchers are working closely to ensure the resultant dataset meets expectations. Alongside this cross-sectoral aspect, the work is also cross-jurisdictional, with the intention being for the data to capture information about farms, farmers and farming households from across the UK. Results Rather than focus on the detail of the substantive research that AD|ARC will enable, this paper discusses some of the challenges and successes of this linkage project to date. Drawing on the experience of the teams from across the UK (England, Northern Ireland, Scotland, and Wales), the first part will discuss challenges faced in linkage of this multi-faceted project, alongside how the population census is being utilised to better understand farming communities, through the identification of both farming households and workers. Secondly, a broader discussion of the challenges and sensitivities of working across government departments and administrations will be presented, alongside ways of working developed to recognise and overcome these. Conclusion The AD|ARC project will result in an invaluable resource to better understand the farming community, which in turn will help to better inform policy debate and decision making. Alongside this, the process of creating the dataset has offered opportunities for learning and insight across a range of issues. https://ijpds.org/article/view/1905Multi-sector data linkageCross-jurisdictional data linkageResearch-ready dataUnderstanding farming householdsCensus linkageOvercoming challenges in data linkage |
| spellingShingle | Jennifer Hampton Nicholas Webster Sophie Jordan Sian Morrison-Rees Orla Bateson James Watson Scott McFarlane Alastair McAlpine Liam Cavin AD|ARC: Construction of a research ready dataset to better understand farmers and farming households. International Journal of Population Data Science Multi-sector data linkage Cross-jurisdictional data linkage Research-ready data Understanding farming households Census linkage Overcoming challenges in data linkage |
| title | AD|ARC: Construction of a research ready dataset to better understand farmers and farming households. |
| title_full | AD|ARC: Construction of a research ready dataset to better understand farmers and farming households. |
| title_fullStr | AD|ARC: Construction of a research ready dataset to better understand farmers and farming households. |
| title_full_unstemmed | AD|ARC: Construction of a research ready dataset to better understand farmers and farming households. |
| title_short | AD|ARC: Construction of a research ready dataset to better understand farmers and farming households. |
| title_sort | ad arc construction of a research ready dataset to better understand farmers and farming households |
| topic | Multi-sector data linkage Cross-jurisdictional data linkage Research-ready data Understanding farming households Census linkage Overcoming challenges in data linkage |
| url | https://ijpds.org/article/view/1905 |
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