Dataset for a research study on scientific productivity of Polish technical universities (West Pomeranian University Of 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 (West Pomeranian 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 West Pomeranian University of Technology consists records from 2016-2020:

1) Summary for West Pomeranian University of Technology

2) Collaboration

3) Citation Count

4) Scholarly Output

5) Topic Clusters.

Dataset file

West Pomeranian University of Technology.zip
65.6 kB, S3 ETag 0600ebfd2842377f9d1fbba34507d36c-1, downloads: 41
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 West Pomeranian University of 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/ak5c-y403 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

Cite as

Authors

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