OPERA Workshops – March 3 2020
The OPERA project invites you to a day of great and inspiring presentations focusing on different approaches to Research Analytics and Persistent Identifiers.
The Technical University of Denmark, Lyngby, Denmark
Meeting room 2 (second floor) in the Meeting Center, building 101
Part 1: OPERA Update & Research analytics projects from the Netherlands and Norway
This is the opportunity to get up-to-date on the OPERA project, get acquainted with a new project by OPERA partners CWTS Leiden and TU Delft, and be introduced to a great Norwegian national bibliometric project.
Registration for part 1 is closed
10:00-10:15: Welcome and OPERA status
10:15-11.00: Presentation of the Dutch ARIA project – Advancing Research Intelligence Applications – a collaboration between Erasmus University Rotterdam, CWTS Leiden, and TU Delft. Tung Tung Chan, CWTS & Alenka Princic, TU Delft | Download slides
11:00-11:30: QA & Collaboration brainstorm: ARIA/OPERA, NL/DK
11:30-12:00: National Infrastructure for Bibliometrics, offering Norwegian research institutions bibliometric data, to understand and compare domestic and international research. Ivar Ternsell Torgersen, Unit | Download slides
12:00-12:10: Wrap up
Part 2: PID Workshop
The afternoon workshop focuses on Persistent Identifiers. We will dive into this narrow – but important – field in managing research information.
More and more areas are covered with PIDs. These initiatives are an essential step towards realizing the potential power of connected PIDs in the scholarly ecosystem. Examples from suppliers and users of PIDs will guide us through the PID landscape.
Registration for part 2 is closed
13.15-14:15: ORCID, DataCite and a Danish perspective from DeiC
Ivo Wijnbergen from ORCID and Helena Cousijn from DataCite | Download slides
Anders Sparre Conrad from DeiC | Download slides
14.15-14:45: Experiences with PID’s in the OPERA project
Nikoline Dohm Lauridsen (OPERA project) and Poul Melchiorsen (OPERA project) | Download slides
15.15-15.45: How GRID PIDs enable better data linkage and data analysis?
(Brian Kirkegaard Lunn from Digital Science and Dimensions) | Download slides
15.45-16.15: How are PIDs used in the Morressier system?
(Sami Benchekroun from Morressier)
16.15-16.30: Closing Remarks