With the expiration of the 2020-2024 UNL-NFU-UKB-NWO-Elsevier agreement, also the Open Science pilot program will end. 

We thank all the participating institutions, the members of the steering group and executive board, and the pilot participants for their ongoing commitment that made this unique collaboration a success. In total 8 pilots ran with nearly 60 participating institutions. For an evaluation of the pilots please see: here

Please be advised that the pilots will be discontinued by end of December 2024 unless otherwise communicated with the participating institutions

If you would like to discuss the continuation of EquipmentMonitor, Author Disambiguation Service, and/or the (successor of) DataMonitor, please contact: Dino Venturino at d.venturino@elsevier.com.  

Discussions about the continuation of RareDiseaseMonitor (for the NFU members) are ongoing.   

More information about the new 2025-2027 Agreement will be added to the Elsevier  Open Access agreements page in due course.  

The epdos.nl website will continue to be accessible through the first half of 2025.


PILOT

Telescope (Equipment Monitor)

Status: Pilot completed, Running as a service

 

Participating Institutions

TU Eindhoven, TU Delft, Wageningen University and Research, VU have indicated that they would like to participate.

The aim of the pilot is to test the feasibility of identifying Research Infrastructure (Instrumentation, scientific equipment) in the literature by using Machine Learning technologies and linking those to the research outputs.

 

How the pilot works

The pilot will provide a standard report listing what scholarly outputs are linked to specific Research Infrastructures (RI). The report will give insights on scientific production, academic impact, collaborations and, if data are available, technology transfer and economic impact. Institutions will subsequently provide feedback and a consolidated feedback report (plus improvements based on the feedback) will be made available to all institutions, the steering group and anyone interested in the outcomes of the pilot.

 

Support of open science and benefits to researchers and institutions

Research Infrastructures are an essential component of research. Researchers need to know what equipment was used for a given experiment, and how to access it or what alternative equipment to use to reproduce an experiment. This can be made possible when research outputs are automatically linked to the equipment used to produce that research. These data, later powered by a rich RI ontology supports open science and particularly reproducibility, allowing researchers to identify substitute/alternative equipment to replicate experiments, of find a potential collaborator that owns a certain instrument.

 

Relevant links

 

For more information on how to participate in this pilot, please reach out to Guillaume Warnan, or contact us.

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