Keynote speaker:
Abstract: The vast data verse is growing rapidly and the ability to locate relevant research data and assess its usefulness to answer a specific problem will only become more important as the volume of data expands. Simply providing access to research data is not enough to enable the reuse of data or to facilitate the verification of scientific results. The provisioning of rich machine-actionable metadata to describe the content and relevance of a dataset is crucial in this respect. In addition data should as a rule be issued with a license declaring the premises for reuse, a persistent identifier that will always retain minimum information about the dataset and metadata that are selected from suitable acknowledged vocabularies. In addition to this FAIRification of research data any software, scripts or tools of relevance required to reproduce the claimed scientific results should also be provided. To gauge and monitor this development towards Open Science one can evaluate the FAIR Maturity of datasets, providing qualitative information on digital repositories for research data deposit. |
Programme
Version as of 4 March 2020
10.00 |
Welcome and Introduction |
10.15 – 11.15 |
Part I Keynote presentation: FAIRification of research data - a crucial step on the path to Open Science Comments & Discussion |
11.15 – 12.15 |
Experience from researchers:
|
12.15 – 13.00 |
Lunch For all registered attendees |
13.00 – 15.00 |
Part II Storage solutions that support Open Access and FAIR
Panel discussion/ joint discussion:
Closing comments: How to move forward? |
Practical
The seminar will be held in English.
Lunch will be served to those who have registered for the seminar:
Register (by Monday 9 March)
Contact organisers: Maria Dikova