Data underlying the PhD thesis: Optimising the Use of National CORS Data in the Context of Thailand
doi: 10.4121/c2d7278e-9a26-4c5f-9bae-adc3c56e2954
CC BY 4.0Research objective:
Thailand has established an NCORS network by unifying government agencies’ existing public Continuously Operating Reference Station (CORS) networks. The process in Thailand has gone through several institutional and technical challenges. The optimal use of the Thai NCORS is the next challenge. In the past two years, a provisory Open Data (OD) policy was launched in the government CORS networks participating in NCORS. However, the use of NCORS data has remained mainly among the government agencies that are original users. Several potential sectors have not become NCORS data users. The situation poses the question: why does OD, as a promising access policy for NCORS in Thailand, not stimulate and broaden the use of NCORS? Should the policy be maintained, and more importantly, how can NCORS data use be optimised in Thailand’s context? This research aims to identify relevant policies to stimulate the optimal use of the NCORS data in Thailand. The primary research question is: how to stimulate the use of NCORS data in Thailand?
Type of research: case study research
Method of data collection: survey & interviews
Type of data:
- Anonymised survey data L-farm leaders on NCORS (potential) use. L-farm leaders are leaders of a Large-scale farming (L-farm) projects which were introduced to improve farming by the Ministry of Agriculture and Cooperatives of Thailand as part of Thailand’s strategic plan 2017-2036. L-farm leaders were selected from the Thai Rice Department’s L-farm database. The L-farm leaders were asked to answer the questionnaire from a large-scale farm managerial perspective.
- Anonymised survey data S-farm leaders on NCORS (potential) use. S-farm leaders are leaders of a small-scale farming (S-farm) projects. S-farmers were individual farmers in the same area as the L-farm leaders, but were not members of L-farms.
- Expert opinions on the developed TAM model to fit each data context. Expert Opinions were collected from the FIG CUGNSSS workshop participants, Expert Opinions from the EUPOS conference and independent Expert Opinions on the Indicators of National CORS Implementation Assessment.
- Video explaining NCORS to non NCORS experts.
- 2023-07-12 first online, published, posted
- Horizon 2020 research and innovation programme (grant code 857592)
DATA
- 5,372 bytesMD5:
94e02f0fefa884f5a52078b9dc9be67bExpert Opinions on the Indicators of National CORS Implementation Assessment.csv - 54,652 bytesMD5:
8c824682db7448644926bc4f58df80baL-farm leaders.xlsx - 51,863,217 bytesMD5:
bf7a72be91f6e30148d9c7b0b245e374RTK of agriculture Survey.mp4 - 60,538 bytesMD5:
23b02944e0465db4ca523f6a9a444421S-farmers.xlsx -
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