Data underlying the PhD dissertation: Decoding open data intermediation business models

DOI:10.4121/c65b387f-3af5-43fc-8aa8-85c1b08d70fc.v1
The DOI displayed 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/c65b387f-3af5-43fc-8aa8-85c1b08d70fc

Datacite citation style

Shaharudin, Ashraf; van Loenen, Bastiaan; Janssen, Marijn (2025): Data underlying the PhD dissertation: Decoding open data intermediation business models. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c65b387f-3af5-43fc-8aa8-85c1b08d70fc.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This folder contains data underlying the PhD dissertation of Ashraf Shaharudin titled, “Decoding Open Data Intermediation Business Models: More than Just a Bridge”. It consists of:

  1. Chapter 2 - README
  2. Chapter 2 - Stage-0 Search results
  3. Chapter 2 - Stage-1 Remove redundant
  4. Chapter 2 - Stage-2 Remove irrelevant
  5. Chapter 2 - Stage-3 Final filtering
  6. Chapter 3 - README
  7. Chapter 3 - Tentative interview questions
  8. Chapter 3 - Interview transcripts - All
  9. Chapter 3 - Coding results
  10. Chapter 4 - Dataset of desk survey
  11. Chapter 5 - Interview transcripts - All
  12. Chapter 6 - Interview transcripts - All


Note about the de-identified interview transcripts:

The de-identified interview transcripts should be read in the context of the research on open data ecosystem and open data intermediaries. The interviews were conducted between April 2023 and October 2024 based on the semi-structured approach. Tentative interview questions were shared with the interviewees in advance (for the majority, at least three working days prior). Personally identifiable information is redacted from the transcripts. With verbal communication, some sentences may be less incomprehensible in writing. Thus, minimal edits were done when transcribing to improve the comprehensibility where necessary, but the main objective was to keep the transcripts as close to verbatim as possible.


Acknowledgement:

This research is part of the 'Towards a Sustainable Open Data ECOsystem' (ODECO) project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The opinions expressed in this document reflect only the author’s view and in no way reflect the European Commission’s opinions. The European Commission is not responsible for any use that may be made of the information it contains.

History

  • 2025-05-12 first online, published, posted

Publisher

4TU.ResearchData

Format

spreadsheet/.xlsx, document/.pdf, document/.txt

Funding

  • Towards a sustainable Open Data ECOsystem (grant code 955569) [more info...] European Commission

Organizations

TU Delft, Faculty of Architecture and the Built Environment, Department of Urbanism;
TU Delft, Faculty of Technology, Policy and Management, Department of Engineering, Systems and Services

DATA - under embargo

The files in this dataset are under embargo until 2025-11-15.

Reason

The PhD dissertation is not yet reviewed by independent committee members and defended. The defense is to be taken place tentatively by mid-November 2025.