Data · dataset · 2026
A Hybrid Dataset of Blockchain Traceability Architectures in Palm Oil and Agri-Food Supply Chains with Technology Readiness Level (TRL) Assessments
Listed in Teesside University Research Data Repository
This dataset contains bibliographic records and manual classifications for 154 peer-reviewed studies analyzing blockchain technology in the agri-food and palm oil supply chains.
Description
The data was collected from Scopus in December 2025 using a hybrid search strategy to support a systematic literature review and Technology Readiness Level (TRL) assessment. The dataset is organized into six CSV files representing two main groups: - Core Set (Palm Oil Specific): Contains 14 studies, manually verified and split into primary technical studies (n=10) and secondary review papers (n=4). - Context Set (Agri-Food Baseline): Contains 100 primary technical studies (selected via stratified sampling of the top 50 most-cited and top 50 most-recent papers) and 40 secondary review papers.
Each entry includes standard bibliographic metadata (Author, Title, Year, DOI) and custom analysis columns added by the authors: - Category: Classification as Primary (Technical), Secondary (Review), or Irrelevant. - TRL: Technology Readiness Level score (1-9) assigned based on the European Commission software scale. - Platform: The specific blockchain protocol identified (e.g., Ethereum, Hyperledger Fabric). This data supports the research article "Beyond the Hype: A Technology Readiness Level (TRL) Assessment of Blockchain Architectures for the Indonesian Palm Oil Supply Chain" (Daely et al., 2026).
Read the rest (1 more)
It provides a quantitative baseline for benchmarking the maturity of blockchain solutions against EUDR regulatory requirements.
Links
Where it is published
- DOI doi.org/10.17632/rbh35h9nnc.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Life Sciences
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/rbh35h9nnc.1 | 19 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |