Data harmonisation as a key to enable digitalisation of the food sector
| Autor: | Nesli Sozer, Akhtar Zeb, Juha-Pekka Soininen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
General Chemical Engineering media_common.quotation_subject Food value 01 natural sciences Biochemistry Data harmonisation 0404 agricultural biotechnology 010608 biotechnology Production (economics) Quality (business) Food ontology SDG 2 - Zero Hunger media_common Data collection Food sector 04 agricultural and veterinary sciences World population 040401 food science Harmonisation challenges Risk analysis (engineering) Key (cryptography) Fork (file system) Business Food Science Biotechnology |
| Zdroj: | Zeb, A, Soininen, J-P & Sözer, N 2021, ' Data harmonisation as a key to enable digitalisation of the food sector : A review ', Food and Bioproducts Processing, vol. 127, pp. 360-370 . https://doi.org/10.1016/j.fbp.2021.02.005 |
| ISSN: | 1744-3571 0960-3085 |
| DOI: | 10.1016/j.fbp.2021.02.005 |
| Popis: | The food sector is driven by a large number of actors, including primary producers, manufacturers, logistics providers, retailers, and consumers. At each phase of the food value chain, a significant amount of data is generated that provides important information to the agents involved in processing and flow of food products from farm to fork. Proper handling of food data has a crucial role in providing safe, quality and affordable products to the increasing world population. The independent production of food data, without following any specific guidelines and procedures, often results in inconsistent and incomparable datasets that cannot be directly utilised by multiple users. Data harmonisation means reconciling various types, levels and sources of data in formats that are compatible and comparable, and thus useful for better decision making. In the food sector, one way of performing data harmonisation is to represent food data according to reliable classification and description systems. Another approach towards harmonisation is to match various food concepts to the existing and widely used ontologies. Furthermore, harmonisation is facilitated by following specific guidelines and procedures during data collection processes. This study explores some of the most important tools, frameworks and methodologies for data harmonisation in the food sector. |
| Databáze: | OpenAIRE |
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