Digitalisation of livestock data to improve veterinary public health
Published December 20, 2022 | Version v1
Project deliverable Open

MAPPING DATA ECOSYSTEMS AND ASSOCIATED REGULATORY FRAMEWORKS

Creators

  • 1. University of Edinburgh
  • 2. University of Copenhagen
  • 3. University of Glasgow
  • 4. Swedish National Veterinary Institute (SVA)
  • 5. James Hutton Institute

Description

  • The aim of the Nordforsk project is to foster digital innovation through the construction of open-source, reusable resources.

  • In this report we seek to map the current availability of livestock-related data in 3 partner nations (UK, Denmark and Sweden).

  • We utilise 3 case studies with profound societal implications: antimicrobial resistance and foodborne illness have direct impact on public health, and exotic diseases such as African swine fever have potentially devastating impacts both on the domestic livestock industry and international trade.

  • Our ultimate objective is to “identify and compare enabling factors for data digitalisation, and the data ecosystems that have emerged in different countries for the purposes of animal health contingency planning. This involves exploring the regulatory frameworks and social factors and will be co-produced with key stakeholders to explore aspirations and goals for future digitalisation of livestock-related data.”

  • Desktop reviews and selected stakeholder interviews were conducted by members of the Nordforsk Digivet team to identify actors, institutions and infrastructures, data sources and availability, data intelligence architectures, and routes of communication and data sharing and preservation within the UK, Denmark and Sweden.

  • The information collected leads to an emphasis in this report primarily on data acquisition, aggregation, and useage, with limited emphasis on coordinated data management, sharing or return value to the data provider or beneficiary.

  • The work in this report highlighted a number of key challenges:

  1. There are significant differences with respect to coordination and use of these disease-related data between countries.
  2. Data collected may not necessarily be for the purposes for which it is used in these systems (e.g., antimicrobial use and sales data) which limits epidemiological interpretations.
  3. Data quality in all three countries may be variable and dependent on who is inputting the data (and resource/incentives associated with this work), and how the data is transferred or shared.
  4. Integration of different data types varies between countries.
  5. Legislative barriers are likely to be a key inhibitor for data sharing, particularly across public and private organisational boundaries.
  6. The responsibility for data collection for endemic diseases falls mainly to sector specific industry organisations. These data may not necessarily be findable, interoperable or accessible.
  7. There appears to be limited information on benefits or return value of data to stakeholders. This is an area which will be explored further in subsequent work packages within the Digivet project.

Files

Nordforsk_stakeholdermapping_WP1_final.pdf

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Additional details

Additional titles

Subtitle
DigiVet Deliverable 1.1

Funding

NordForsk Digitalisation of the Public Sector: Digitalisation of livestock data to improve veterinary public health ES/V00963X/1
UK Research and Innovation