Eirik Østmo / Torger Grytå

VI Seminar #32 Good practices for sharing data and software in a FAIR way

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Good practices for sharing data and software in a FAIR way


Dr. Radovan Bast, Department of Information Technology, UiT The Arctic University of Norway

Dr. Kathleen (Katie) Smart, University Library, UiT The Arctic University of Norway


Radovan Bast (Photo:private)

In this seminar we will discuss two aspects of computational open science: sharing software and sharing data.

The first part will focus on software, in particular software licensing: how to share code in a reusable way and how to responsibly reuse code written by others. We will not only discuss what to consider when choosing a software license, but also how licensing relates to ownership, how to enable derivative work, and how to create derivative work responsibly. We will keep this presentation practical and give recommendations to help you navigating the legal landscape of software licenses.

In the second part, a short introduction on good practices for data sharing and the FAIR data principles, will be given.  The FAIR data principles are a set of guidelines to make digital assets, including data, more Findable, Accessible, Interoperable and Re-usable. We will discuss good practices for data sharing by means of a practical example from DataverseNO, an archive for open research data.

In compliance with GDPRconsent requirements, presentations given in a Visual Intelligence context maybe recorded with the consent of the speaker. All recordings are edited toremove all faces, names and voices of other participants. Questions and commentsby the audience will hence be removed and will not appear in the recording. With the freely given consent from the speaker, recorded presentation may be posted on the Visual Intelligence YouTube channel.

This seminar is open for members of the consortium. If you want to participate as a guest please sign up.

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