Dataset for a research study on scientific productivity of Polish technical universities (AGH University of Science and Technology 2016-2020). - Open Research Data - Bridge of Knowledge

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Dataset for a research study on scientific productivity of Polish technical universities (AGH University of Science and Technology 2016-2020).

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Description

This dataset was created for the purpose of research on scientific productivity at Polish technical universities.

The raw bibliometric 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 AGH University of Science and Technology consists records from 2016-2020:

1) Summary for AGH

2) Collaboration

3) Citation Count

4) Scholarly Output

5) Topic Clusters.

Dataset file

AGH_University of Science and Technology.zip
68.0 kB, S3 ETag 7456d14eb591e4c7aa87a62f04af4ecf-1, downloads: 46
The file hash is calculated from the formula
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
download file AGH_University of Science and Technology.zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
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/d7gq-j989 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

Cite as

Authors

Version this document has several versions

  • Current version
    version 1.0
    DOI ID10.34808/d7gq-j989
    release date 2021-06-17
DOI 10.34808/7ttb-d568 represents the latest version of the data.

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