Automated Author ProfileRücknagel, Jessika
Humboldt-Universität zu Berlin
Rücknagel, Jessika
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 8.2 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Vorliegender Datensatz gibt auf Basis einer Analyse im Dezember 2015 im re3data.org - Registry of Research Data Repositories einen Überblick über Forschungsdaten-Repositorien die unter Beteiligung deutscher Institutionen betrieben werden.
Authors
- Pampel, Heinz ;
- Kindling, Maxi ;
- Van de Sandt, Stephanie ;
- Kloska, Gabriele ;
- Schnepf, Edeltraud ;
- Reuter, Evelyn ;
- Semrau, Angelika ;
- Rücknagel, Jessika ;
- Neuberger, Nele ;
- Ulrich, Robert ;
- Vierkant, Paul ;
- Fritze, Florian ;
- Goebelbecker, Hans-Jürgen ;
- Bertelmann, Roland ;
- Scholze, Frank ;
- Schirmbacher, Peter
The "2014 Census of Open Access Repositories in Germany, Austria and Switzerland” (2014 Census) is a study on the green open access landscape conducted in the course of a project seminar at the Berlin School of Library and Information Science (BSLIS) at Humboldt-Universität zu Berlin. The 2014 Census not only succeeds the "2012 Census of Open Access Repositories in Germany"[1] but enhances it by adding an online survey to the qualitative analysis of the open access repository websites and the automatic validation of its metadata. Like in 2012 the 2014 Census gives insights into the development of open access repositories and current trends in repository design being of substantial use to open access repository operators.This 2014 Census data set represents the data collected in three different ways:qualitative analysis of the open access repository websitesautomatic validation of the metadata via OAI-PMH using the DINI-Validator [2] online survey of repository operatorsAs in 2012 [3] the data set is provided in XLSX as well as in CSV format. The columns represent the criteria and the rows represent the analyzed open access repositories. In the XLSX file the header row gives the definition of each criterion in English and German. In the CSV "content" file the header row is in English short terms. The respective English and German definition can be found in the CSV "readme" file. [1] Vierkant, P. (2013). 2012 Census of Open Access Repositories in Germany: Turning Perceived Knowledge Into Sound Understanding. D-Lib Magazine, 19. http://dx.doi.org/10.1045/november2013-vierkant [2] http://oanet.cms.hu-berlin.de/validator/pages/validation_dini.xhtml[3] Vierkant, Paul; Voigt, Michaela; Dupski, Jens; David, Sammy; Lösch, Mathias (2013): 2012 Census of Open Access Repositories in Germany. figshare.
http://dx.doi.org/10.6084/m9.figshare.677099
Authors
- Vierkant, Paul ;
- Kindling, Maxi ;
- Zielke, Dennis ;
- Burger, Marleen ;
- Lepke, Anne ;
- Maluck, Thomas ;
- Rücknagel, Jessika ;
- Theileis, Lisa ;
- van de Sandt, Stephanie ;
- Summann, Friedrich