EconPapers    
Economics at your fingertips  
 

The Research Core Dataset for the German science system: challenges, processes and principles of a contested standardization project

Sophie Biesenbender () and Stefan Hornbostel
Additional contact information
Sophie Biesenbender: German Centre for Higher Education Research and Science Studies (DZHW)
Stefan Hornbostel: German Centre for Higher Education Research and Science Studies (DZHW)

Scientometrics, 2016, vol. 106, issue 2, No 21, 837-847

Abstract: Abstract The paper provides an introduction to the recently completed project to derive a Research Core Dataset (RCD) for the German science system. In addition to explaining the rationale and background of the standardization project, it describes the workflow of the RCD project by focusing on the challenges, approaches and processes as well as the guiding principles. In this context, the paper also explains the peculiarities of the German science system and compares the project to other international standardization endeavours. The paper concludes with a short outlook on the potential chances and risks of the project.

Keywords: Comparability; Data integration; Data quality; Standardization (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-015-1816-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:106:y:2016:i:2:d:10.1007_s11192-015-1816-y

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-015-1816-y

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:106:y:2016:i:2:d:10.1007_s11192-015-1816-y