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.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/c2d7278e-9a26-4c5f-9bae-adc3c56e2954
Datacite citation style:
Supinajaroen, Warakan (2023): Data underlying the PhD thesis: Optimising the Use of National CORS Data in the Context of Thailand. Version 1. 4TU.ResearchData. dataset.
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Research 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: 

  1. 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.
  2. 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.
  3. 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.
  4. Video explaining NCORS to non NCORS experts.
  • 2023-07-12 first online, published, posted
Video files: *.mp4, Excel: *.xlsx
  • Horizon 2020 research and innovation programme (grant code 857592)
TU Delft, Faculty of Architecture and the Built Environment, Department of Urbanism, Knowledge Centre Open Data


files (4)