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- Dehdarirad, Tahereh,1984Chalmers tekniska högskola,Chalmers University of Technology (author)
Quantifying the reproducibility of scientometric analyses: a case study
- Article/chapterEnglish2018
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- 2018
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- LIBRIS-ID:oai:research.chalmers.se:588d7b06-5bb5-43d0-9a29-20bce17d8062
- https://research.chalmers.se/publication/516428URI
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- Language:English
- Summary in:English
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- Reproducibility of scientific articles and their findings has gained importance in the last years. Although most efforts have been made in biomedicine, health and psychology science, reproducibility is important and necessary in all the research fields. Thus, in this contribution an empirical evaluation of the reproducibility of scientometric studies was carried out. To do so, 285 articles published in the journal of Scientometrics in 2017 were examined in term of the following reproducibility artifacts: workflow, search strategy, database, software, the availability of the source code (where applicable) and the availability of the dataset. Our findings showed that whilst workflow and search strategy were well described in the majority of articles, the dataset used was shared by very few studies. The data was usually retrieved from the WoS and Scopus databases. Finally, a few articles shared the source code where ad-hoc software was used.
Subject headings and genre
- HUMANIORA Filosofi, etik och religion Filosofi hsv//swe
- HUMANITIES Philosophy, Ethics and Religion Philosophy hsv//eng
- SAMHÄLLSVETENSKAP Medie- och kommunikationsvetenskap Biblioteks- och informationsvetenskap hsv//swe
- SOCIAL SCIENCES Media and Communications Information Studies hsv//eng
- SAMHÄLLSVETENSKAP Ekonomi och näringsliv Företagsekonomi hsv//swe
- SOCIAL SCIENCES Economics and Business Business Administration hsv//eng
- open data
- scientometrics
- reproducibility
Added entries (persons, corporate bodies, meetings, titles ...)
- Cobo, Manuel JesusDepartment of Computer Science and Engineering, University of Cádiz, Spain (author)
- García-Sánchez, PabloDepartment of Computer Science and Engineering, University of Cádiz, Spain (author)
- Moral-Munoz, Jose A.Department of Nursing and Physiotherapy, University of Cádiz, Spain (author)
- Chalmers tekniska högskolaDepartment of Computer Science and Engineering, University of Cádiz, Spain (creator_code:org_t)
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- In:23rd international conference on science and technology indicators (STI 2018)
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