Show simple item record

dc.contributor.authorVial, F.
dc.contributor.authorTedder, Andrew
dc.date.accessioned2019-09-13T10:11:05Z
dc.date.accessioned2019-09-27T11:34:54Z
dc.date.available2019-09-13T10:11:05Z
dc.date.available2019-09-27T11:34:54Z
dc.date.issued2017-09-06
dc.identifier.citationVial F and Tedder A (2017) Tapping the Vast Potential of the Data Deluge in Small-scale Food-Animal Production Businesses: Challenges to Near Real-time Data Analysis and Interpretation. Frontiers In Veterinary Science. 4: article 120.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17268
dc.descriptionYesen_US
dc.description.abstractFood-animal production businesses are part of a data-driven ecosystem shaped by stringent requirements for traceability along the value chain and the expanding capabilities of connected products. Within this sector, the generation of animal health intelligence, in particular, in terms of antimicrobial usage, is hindered by the lack of a centralized framework for data storage and usage. In this Perspective, we delimit the 11 processes required for evidence-based decisions and explore processes 3 (digital data acquisition) to 10 (communication to decision-makers) in more depth. We argue that small agribusinesses disproportionally face challenges related to economies of scale given the high price of equipment and services. There are two main areas of concern regarding the collection and usage of digital farm data. First, recording platforms must be developed with the needs and constraints of small businesses in mind and move away from local data storage, which hinders data accessibility and interoperability. Second, such data are unstructured and exhibit properties that can prove challenging to its near real-time preprocessing and analysis in a sector that is largely lagging behind others in terms of computing infrastructure and buying into digital technologies. To complete the digital transformation of this sector, investment in rural digital infrastructure is required alongside the development of new business models to empower small businesses to commit to near real-time data capture. This approach will deliver critical information to fill gaps in our understanding of emerging diseases and antimicrobial resistance in production animals, eventually leading to effective evidence-based policies.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.3389/fvets.2017.00120en_US
dc.rights(c) 2017 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0/)en_US
dc.subjectFood-animal productionen_US
dc.subjectData analysisen_US
dc.subjectAnimal healthen_US
dc.subjectAgribusinessen_US
dc.titleTapping the Vast Potential of the Data Deluge in Small-scale Food-Animal Production Businesses: Challenges to Near Real-time Data Analysis and Interpretationen_US
dc.status.refereedYesen_US
dc.date.Accepted2017-07-10
dc.typeArticleen_US
dc.type.versionPublished versionen_US
dc.description.publicnotesThis article is part of the research topic "Digital transformation of animal health data: Proceedings of the AHEAD 2017 workshop" (https://www.frontiersin.org/research-topics/5834#articles)en_US
dc.date.updated2019-09-13T09:11:11Z
refterms.dateFOA2019-09-27T11:37:16Z


Item file(s)

Thumbnail
Name:
fvets-04-00120.pdf
Size:
491.8Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record