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Sharing Open Data in Agriculture: A Learning Curve for Developing Countries

Sharing Open Data in Agriculture: A Learning Curve for Developing Countries

Liah Shonhe
Copyright: © 2021 |Pages: 23
ISBN13: 9781799850182|ISBN10: 1799850188|ISBN13 Softcover: 9781799854050|EISBN13: 9781799850199
DOI: 10.4018/978-1-7998-5018-2.ch013
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MLA

Shonhe, Liah. "Sharing Open Data in Agriculture: A Learning Curve for Developing Countries." Open Access Implications for Sustainable Social, Political, and Economic Development, edited by Priti Jain, et al., IGI Global, 2021, pp. 244-266. https://doi.org/10.4018/978-1-7998-5018-2.ch013

APA

Shonhe, L. (2021). Sharing Open Data in Agriculture: A Learning Curve for Developing Countries. In P. Jain, N. Mnjama, & O. Oladokun (Eds.), Open Access Implications for Sustainable Social, Political, and Economic Development (pp. 244-266). IGI Global. https://doi.org/10.4018/978-1-7998-5018-2.ch013

Chicago

Shonhe, Liah. "Sharing Open Data in Agriculture: A Learning Curve for Developing Countries." In Open Access Implications for Sustainable Social, Political, and Economic Development, edited by Priti Jain, Nathan Mnjama, and O. Oladokun, 244-266. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-5018-2.ch013

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Abstract

The main focus of the study was to explore the practices of open data sharing in the agricultural sector, including establishing the research outputs concerning open data in agriculture. The study adopted a desktop research methodology based on literature review and bibliographic data from WoS database. Bibliometric indicators discussed include yearly productivity, most prolific authors, and enhanced countries. Study findings revealed that research activity in the field of agriculture and open access is very low. There were 36 OA articles and only 6 publications had an open data badge. Most researchers do not yet embrace the need to openly publish their data set despite the availability of numerous open data repositories. Unfortunately, most African countries are still lagging behind in management of agricultural open data. The study therefore recommends that researchers should publish their research data sets as OA. African countries need to put more efforts in establishing open data repositories and implementing the necessary policies to facilitate OA.

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