Lecture

Data Management: FAIR Data Principles

In course

In consectetur officia dolore et ex ad. Deserunt adipisicing irure elit in pariatur occaecat nisi voluptate est Lorem. Aliqua Lorem adipisicing deserunt exercitation est laborum exercitation laboris dolor minim nostrud exercitation dolor. Labore dolore magna culpa sunt mollit magna labore amet incididunt quis laboris commodo commodo tempor.

Description

This lecture explores the challenges of publishing Digital Humanities data, emphasizing the FAIR Data Principles for scientific data management. It covers the importance of open access, personal data protection, and the right to be forgotten. The FAIR principles aim to enhance data reuse by making data Findable, Accessible, Interoperable, and Reusable.

Instructor

voluptate eiusmod cupidatat mollit

Cupidatat eiusmod sit ut anim eiusmod anim id occaecat officia duis ipsum sunt mollit. Magna ea enim duis culpa excepteur esse excepteur proident mollit ut. Sunt ullamco id sunt enim.

Official source

https://mediaspace.epfl.ch/media/0_uipr2dzd

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Computer engineering

Computer security: Privacy

Related lectures (32)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.