Abstract
This project responds to an ESRC funding call to expand the use of the Business Data for Research (Northern Ireland) database by researchers, with particular focus on informing the Department for the Economy’s “10X Economy” vision. We present an exploration and review of newly available micro-business data, paying attention to its useability in evaluating Northern Irish trade.
We use the de-identified Northern Ireland Annual Business Inquiry, which is one of three datasets in the Business Data for Research (NI) database available as part of this funding call.
Until now, this data has been available on a restricted basis, but the intention is to expand its use to ADR UK researchers in approved safe settings.
We use the de-identified Northern Ireland Annual Business Inquiry, which is one of three datasets in the Business Data for Research (NI) database available as part of this funding call.
Until now, this data has been available on a restricted basis, but the intention is to expand its use to ADR UK researchers in approved safe settings.
| Original language | English |
|---|---|
| Type | Data Insight report |
| Media of output | Report |
| Publisher | ESRC |
| Number of pages | 5 |
| Publication status | Published (in print/issue) - 13 Sept 2023 |
Publication series
| Name | Northern Irish Trade |
|---|
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Trade
- Northern Ireland
- 10X
- Geography
- Sector
- Exports
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Dive into the research topics of 'Beta testing of the Northern Ireland Annual Business Inquiry and Broad Economy Sales and Exports Statistics datasets, with a focus on spatial and sectoral analysis of Northern Ireland trade from 2014 to 2020 - ADR UK: Beta testing of the NIABI and BESES datasets 2014-2020'. Together they form a unique fingerprint.Student theses
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Analytics, visualisation and machine learning of general practitioner prescribing using open health data
Booth, F. (Author), Mulvenna, M. (Supervisor) & Bond, R. (Supervisor), Sept 2022Student thesis: Doctoral Thesis
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