Project lead

Prof. Dr. Philipp Schaer

Prof. Dr. Philipp Schaer

Institut für Informationswissenschaft (IWS)

Prof. Dr. Konrad Förstner

Prof. Dr. Konrad Förstner

Institut für Informationswissenschaft (IWS)

PIXLS - Preprint Information Extraction for Life Sciences

Logo der Deutschen Forschungsgesellschaft (Image: DFG)

Preprints are a relatively new pathway of making scientific results available to the wider research community even before peer review. Meanwhile, thereis are a large number of different preprint servers used by the research community, which differ both technically and in terms of content.

In the PIXLS project, the partners TH Köln – University of Applied Sciences and ZB MED - Information Center for Life Sciences would like to systematically unlock the previously neglected information source preprint servers, make them more accessible through value-added services and ensure the reusability of the metadata and full texts obtained. For this, the project will conduct research and develop an e-research technology covering an information extraction pipeline in which the data will be homogenized and merged into the ZB MED Knowledge Environment (ZB MED KE). Value-added services, such as Linked Open Data interfaces and innovative reputation and trend indicators, will then be developed on this data basis and made available to the library and scientific community for subsequent use.

At a Glance

Category Description
Research project PIXLS - Preprint Information Extraction for Life Sciences 
Management Prof. Dr. Philipp Schaer  Prof. Dr. Philipp Schaer
Faculty Faculty of Information and Communication Sciences 
Institute Institute for Information Management 
Partners Prof. Dr. Konrad Förstner, ZB MED - Information Centre for Life Sciences  
Sponsors DFG - German Research Foundation 
Duration 2022 - 2025 

Project lead

Prof. Dr. Philipp Schaer

Prof. Dr. Philipp Schaer

Institut für Informationswissenschaft (IWS)

Prof. Dr. Konrad Förstner

Prof. Dr. Konrad Förstner

Institut für Informationswissenschaft (IWS)


M
M