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Data Papers as a New Form of Knowledge Organization in the Field of Research Data.

Authors :
Schöpfel, Joachim
Farace, Dominic
Prost, Hélène
Zane, Antonella
Source :
Knowledge Organization; 2019, Vol. 46 Issue 8, p622-638, 17p
Publication Year :
2019

Abstract

Data papers have been defined as scholarly journal publications whose primary purpose is to describe research data. Our survey provides more insights about the environment of data papers, i.e., disciplines, publishers and business models, and about their structure, length, formats, metadata, and licensing. Data papers are a product of the emerging ecosystem of data-driven open science. They contribute to the FAIR principles for research data management. However, the boundaries with other categories of academic publishing are partly blurred. Data papers are (can be) generated automatically and are potentially machine-readable. Data papers are essentially information, i.e., description of data, but also partly contribute to the generation of knowledge and data on its own. Part of the new ecosystem of open and data-driven science, data papers and data journals are an interesting and relevant object for the assessment and understanding of the transition of the former system of academic publishing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09437444
Volume :
46
Issue :
8
Database :
Supplemental Index
Journal :
Knowledge Organization
Publication Type :
Academic Journal
Accession number :
141281794
Full Text :
https://doi.org/10.5771/0943-7444-2019-8-622.