DATA INTEROPERABILITY AND THE OPEN DATA ECOSYSTEM: ROLES AND RESEARCH AREAS - Publikacja - MOST Wiedzy

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DATA INTEROPERABILITY AND THE OPEN DATA ECOSYSTEM: ROLES AND RESEARCH AREAS

Abstrakt

Sustainability and value-creation are considered important parameters to measure the success of an open data system. Unfortunately, existing open data systems are not meeting their promises to achieve a sustainable and value-based open data system. Van Loenen et al. (2021) proposed a sustainable and value-creating open data ecosystem. According to their study, the open data ecosystem needs to be user-driven, inclusive, circular, and skill-based. In this study, we will first focus on sustainable and value-creating open data ecosystems. Secondly, we will explore how interoperability plays a role in the open data ecosystem. The interoperability of open data is an important aspect when we have open data from different fields. The interoperability frameworks and open data ecosystems will be analyzed. We will draw a conclusion that how open data interoperability can affect the open data ecosystem such as whether the interoperability is the need of user-driveness, inclusiveness, circularity, or skill-based properties. In other words, if we improve interoperability, which part of the open data ecosystem will be improved in return? The research questions are, "What are the roles of interoperability in the sustainability and value-creation of open data ecosystems found in the literature?" and second "what are the roles of open data portals in value-creating and sustainable open data ecosystem?". To support our research questions, we will do necessary literature review to find the relatedness and required knowledge about the open data ecosystem, interoperability, and open data portals. We decided to go with the systematic literature review from 2009–2021. The systematic search will be performed with the help of different keywords such as "open data ecosystem", "open data ecosystem+interoperability", and "open data ecosystem+interoperability+portal" on different research databases such as ACM Digital Library, Science Direct, Web of Science, IEEE Xplore, and Springer. We will also perform a trend analysis based on our systematic search for how these fields will improve over the coming five years.

 

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Autor (1)

  • Zdjęcie użytkownika Master of Science in Computer Science Mohsan Ali

    Mohsan Ali Master of Science in Computer Science

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Kategoria:
Inna publikacyjna praca zbiorowa (w tym materiały konferencyjne)
Typ:
Inna publikacyjna praca zbiorowa (w tym materiały konferencyjne)
Rok wydania:
2023
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.5281/zenodo.8070106
Weryfikacja:
Brak weryfikacji

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