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Introduction to Open Data

Markus Konkol introduces you to this topic and the learning outcomes.

Open Data is an essential pillar of Open Science and should be part of every researcher’s skill set. However, what is Open Data? Why is the opening up of research data beneficial?

Moreover, why is not opening up research data a problem? The following videos, podcasts, and reading material will provide you with an overview of Open Data. You will learn about the benefits that come with Open Data, which barriers prevent researchers from publishing their data, and guiding principles to make openly available research data as useful as possible. This knowledge is relevant if you aim for a scientific career and any job in the industry that requires you to deal with datasets.

Learning Outcomes

Upon completion of this lecture, you will be able to:

  • articulate what Open Data is
  • understand why Open Data is relevant
  • apply Open Data principles to your own work
  • consider circumstances under which Open Data is not possible

The slides from Markus on Open Data you find in the download section below.

This article is from the free online

Openness in Science and Innovation

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FutureLearn - Learning For Life

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