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Dataset for a research study on scientific productivity of Polish technical universities (Kielce University Of Technology 2016-2020).
Description
This dataset was created for the purpose of research on scientific productivity at Polish technical universities.
The raw data was retrieved in June 2021 by the SciVal benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles.
The most common definition of research productivity (interchangeable with academic productivity or scientific productivity) states as research productivity are the number of publications per researchers. However, a more extended definition of scientific productivity, connecting quantity and quality approach involves producing quality research represented by publishing academic papers in reputable international journals, citing these papers, gaining research funding (e.g. national and international grants), and collaborating in scientific teams.
The dataset prepared for the scientific profile of Kielce University of Technology consists records from 2016-2020:
1) Summary for Kielce University of Technology
2) Collaboration
3) Citation Count
4) Scholarly Output
5) Topic Clusters.
Dataset file
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.Example script for calculation:
https://github.com/antespi/s3md5
File details
- License:
-
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CC BYAttribution - Raw data:
- Data contained in dataset was not processed.
Details
- Year of publication:
- 2021
- Verification date:
- 2021-06-17
- Creation date:
- 2021
- Dataset language:
- English
- Fields of science:
-
- management and quality studies (Social studies)
- social communication and media studies (Social studies)
- DOI:
- DOI ID 10.34808/arpt-2t21 open in new tab
- Series:
- Verified by:
- Gdańsk University of Technology
Keywords
Cite as
Authors
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