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Researching Digital Society: Using Data-Mining to Identify Relevant Themes from an Open Access Journal
Judith Schossböck, Noella Edelmann, Nina Rizun

Researching Digital Society: Using Data-Mining to Identify Relevant Themes from an Open Access Journal

Science & Mathematics Published 2021 Verification Pending

Overview & Synopsis

Open Access scholarly literature is scientific output free from economic barriers and copyright restrictions. Using a case study approach, data mining methods and qualitative analysis, the scholarly output and the meta-data of the Open Access eJournal of e-Democracy and Open Government during the time interval 2009–2020 was analysed. Our study was able to identify the most prominent research topics (defined as thematic clusters) of the journal, their evolution over time and how these were influenced by journal management factors. This kind of analysis helps editors to develop an editorial strategy, decide on the thematic development of the journal and address the expectations of future authors of the journal. It further can provide insights about research themes and trends within a scholarly community and their development over time.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Researching Digital Society: Using Data-Mining to Identify Relevant Themes from an Open Access Journal
Author / Organization Judith Schossböck, Noella Edelmann, Nina Rizun
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-215471
Original Source Link Visit Source Page on hal.science »