OPERA Webinar Series

Open Science Researcher profiles

Date/time: 17/9/2020 at 13.00-14.00
Speaker: Karen Sofie Hytteballe Ibanez, Technical University of Denmark

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The OPERA project is building a prototype; NORA – National Open Research Analytics – providing analytical insight into the Danish research landscape. NORA is experimenting with many types of visualizations and analytics and one key challenge is to develop a prototype that reflects a researchers’ Open Science efforts including Open Science indicators (in collaboration with researchers from different research areas). This webinar will present the work on the Open Science Researcher profiles so far, discuss benefits of highlighting Open Science efforts but also present challenges and barriers to making FAIR and robust Open Science Indicators.

Open, detailed and reliable university analytics – Combining global data and PIDs with local insights in an open analytics platform.

Date/time: 7/9/2020 at 10:00-11:00
Speaker: Mogens Sandfær, Technical University of Denmark

OPERA has developed a local university platform for research analytics. This webinar will demonstrate and discuss the implementation at the Technical University of Denmark. Here data from Web of Science and InCites meet ORCID – and local insights are added to the local platform.  Key indicators are calculated locally and openly with maximum transparency versus the researchers. Learn more about how this is done in practice – and how you may benefit from the open source software – with VIVO as a key component.

Dirty Data and Open Data

Date/time: 2/9/2020 at 14.00-15.00
Speaker: Poul Melchiorsen, Aalborg University

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Introduction to the concept of “dirt” in the area of research analysis, evaluation and bibliometrics. The Swedish philosopher Olli Lagerspetz’s philosophy of dirt provides us with an ethical perspective that is applicable to research analysis and work with data.

Measuring Open Science efforts

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Date/time: 26/8/2020 at 14:00-15:00
Speaker: Birger Larsen, Aalborg University Copenhagen

OPERA explores how Open Science efforts may form part of research analytics, metrics and evaluation. The purpose is to identify and evaluate approaches to document the impact of open science and open data efforts, and to prepare the inclusion of the most promising of these indicators in analytics platforms like VIVO as well to evaluate these approaches.