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/d7dd11e0-7c6c-49db-946a-ffe71520f8fd

Shaharudin, Ashraf; van Loenen, Bastiaan; Marijn Janssen (2024): Data underlying research paper "Exploring potential contributions of open data intermediaries". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d7dd11e0-7c6c-49db-946a-ffe71520f8fd.v1

Dataset

• Other Information and Computing Sciences
• Library and Information Studies
• Information Systems
• Information and Computing Sciences

intermediaries, open data

May - July 2023

CC BY-NC-ND 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Ashraf Shaharudin , Bastiaan van Loenen , Marijn Janssen

This folder contains data underlying the research paper “Exploring potential contributions of open data intermediaries”. The research is about open data ecosystem and the role of open data intermediaries. The folder consists of 4 items:

1.    Tentative interview questions (.pdf and .odt formats)

2.    Informed consent form template (for verbal interview & written interview) (.pdf and .odt formats)

3.    De-identified interview transcripts (.pdf and .odt formats)

4.    Coding results (.pdf and .ods formats)

Note about the tentative interview questions:

The interviews were conducted between May and July 2023 based on the semi-structured approach. We customise the tentative interview questions accordingly for each interview and share them with the interviewees in advance (for the majority, at least three working days in advance). As semi-structured interviews, the ultimate interview questions may differ from the tentative questions based on the information provided by the interviewees and time constraints (refer to item #3).

Note about the informed consent form:

We sent the informed consent form to every interviewee in advance and requested them to return it to us before the interview. The consent form has been reviewed by TU Delft's Human Research Ethics Committee (HREC).

Note about the de-identified interview transcripts (and coding results):

The de-identified interview transcripts should be read in the context of the research on open data ecosystem and the role of open data intermediaries. We removed personally identifiable information from the transcripts. A few interviewees may risk being identifiable if their organisation is known. Hence, we removed the identification of the organisation and country in all transcripts. Partially disclosing the organisation or country for some transcripts increases the risks of identifying the non-disclosed transcripts. With verbal communication, some sentences may be less incomprehensible in writing. Thus, we did minimal edits when transcribing to improve the comprehensibility where necessary, but the main objective was to keep the transcript as close to verbatim as possible. All interviewees whose interview transcripts are recorded in this document give permission for the anonymised transcript of their interview, with personally identifiable information redacted, to be shared in 4TU.ResearchData repository so it can be used for future research and learning.

 

Acknowledgement:

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.

• 2024-03-07 first online, published, posted

4TU.ResearchData

pdf, odt, ods

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

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