Underlying and Extended Data for: Implementation of Governance Capacity on Blue Economy Development Policy in Coastal Areas: A Case Study from East Nusa Tenggara Province

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Authors: Abdul Rahman, Teresa Irmina Nangameka, Muhammad Eko Atmojo, Komang Ema Marsitadewi, Agustinus Samgar Friday Fry, Septi Wulandari, Denny Iswanto, JURISMAN M KADJI, Komang Jaka Ferdian, Ira Meiyenti
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Abstract

This repository contains the underlying and extended data supporting the article "Implementation of Governance Capacity on Blue Economy Development Policy in Coastal Areas: A Case Study from East Nusa Tenggara Province," a qualitative case study examining the implementation of governance capacity in blue economy development policy in East Nusa Tenggara (NTT) Province, Indonesia. To protect the confidentiality of the five key informants interviewed for this study, raw interview transcripts are not included. Instead, this repository provides anonymized data organized by informant code (I1–I5) and by governance capacity dimension (collective action, coordination, resilience, learning, and resources). Underlying data: - Extended_Data_2_Underlying_Data.xlsx, containing three sheets: (1) Informant Coding; composition and confidential coding of the five key informants; (2) Coded Interview Excerpt; anonymized, coded verbatim excerpts from the interviews; (3) Field Observation Summary: an anonymized summary of field observation findings. Extended data: - Extended_Data_1_Interview_Guide.docx, the semi-structured interview guide used to collect primary data, organized by the five governance capacity dimensions. - Figure_1_VOSviewer_Network.jpeg—bibliometric network visualisation of "governance capacity" research (2021–2026), generated from Scopus database records using VOSviewer, as presented in Figure 1 of the article. Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 September 2026
Document type
Dataset