Survey Data on Current Open Access Terms and Future Trends (2024)
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https://zenodo.org/record/14207162
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资源简介:
Description:This dataset contains the analysis, codebook, and raw survey data from the 2024 survey "Open Access – Current Terms and Future Areas of Focus". The survey aimed to gather perspectives from Open Access experts in the German-speaking region, focusing on the evaluation of current Open Access terminology, concepts, and emerging trends.
The survey highlights how Open Access terminology has evolved over the past two decades and explores current perceptions regarding key terms in the Open Access discourse, as well as the anticipated future developments in this field. A total of 131 complete responses (N=131) were collected, providing valuable insights into the views of professionals working in Open Access publishing, information infrastructures, and scientific publishing houses.
Contents:
codebook_oa_2024_2024-11-21.xlsx: The codebook, including detailed explanations of the variables, codes, and definitions used in the survey.
survey_results_oa_2024_2024-11-21.xlsx: Anonymized raw data from the survey, including both quantitative and qualitative responses from the participants.
values_oa_2024_2024-11-21.csv: CSV file containing the key terms and concepts identified by participants in response to the question on Open Access terminology.
values_oa_2024_2024-11-21.csv: An additional CSV file with detailed classification and analysis of the terms related to Open Access, including their frequency and significance based on participant responses.
Methodology:The survey was conducted via an online questionnaire distributed from September 7 to October 15, 2024, to professionals working in Open Access, both within information infrastructures (e.g., libraries) and in academic publishing houses. The survey gathered both qualitative and quantitative data, focusing on how Open Access terminology is understood and its future developments. The data were cleaned, anonymized, and analyzed using appropriate statistical and content analysis methods.
Purpose and Use:This dataset is valuable for researchers and professionals studying Open Access terminology, trends, and future developments. It provides insights into the current understanding of Open Access within the academic community and can be used for comparative studies, policy analysis, and future Open Access research.
创建时间:
2024-11-22



