Bibliometric data for a research study on scientific productivity of Polish technical universities (Lublin University of Technology 2016-2020) retrieved by InCites benchmarking tool. - Open Research Data - Bridge of Knowledge

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Bibliometric data for a research study on scientific productivity of Polish technical universities (Lublin University of Technology 2016-2020) retrieved by InCites benchmarking tool.

Description

This dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites 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 Lublin University of Technology consists records from 2016-2020: Number of Web of Science Documents, Times Cited, % Docs Cited, Rank, Category Normalized Citation Impact, International Collaborations, All Open Access Documents, % International Collaborations, Documents in JIF Journals, Documents in Q1 Journals, Documents in Q2 Journals, Documents in Q3 Journals, Documents in Q4 Journals.

Dataset file

Lublin University of Technology.xlsx
23.7 kB, S3 ETag 3de2073e57fa100a59c037f02ff89a71-1, downloads: 73
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

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:
2021-07-22
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/vgy9-c243 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

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