Course 4: Data Spaces
Course agenda
In this course, you will find:
- Data economy.
- Data exchange between organizations.
- Fundamentals of data spaces.
- European data economy and initiatives.
- Data spaces use cases.
Organizational info:
- This course contains 5 lessons.
- Lessons include written content, video and downloadable materials.
- To complete this course, you need 900 – 1200 minutes (15 – 20 days).
- You can pause the course anytime and return to where you finished whenever you want.
- You can follow the course as it flows or at your own pace, rearranging the order of the lessons.
- At the end of the course, you will take a test containing 8 questions.
- You can take the test 2 times, if necessary.
- You must score min. 85% of the correct answers to receive the official certificate of completion.
Need more details?
Participants’ Pains
We know that…
Exchanging data between organisations can be complex, especially when multiple organizations are involved. It can be challenging to define property rights and usage policies.
Data often comes from various sources using different formats and standards. In the absence of effective interoperability, sharing information turns ineffective and susceptible to mistakes.
When companies fail to recognize distinct advantages from sharing their data or perceive risks, they might be reluctant to get involved. This absence of participation can obstruct the overall efficiency and growth of the data ecosystem.
Participants’ Gains
So, we developed this course, in which…
Data spaces open up new revenue and markets for businesses, allowing companies to monetize their data.
Data spaces enable organizations across industries (e.g., healthcare, finance, manufacturing) to share data in ways that were previously not possible.
Data spaces facilitate new collaborative business models where companies can pool their data and create innovative solutions together. Data-as-a-service (DaaS) and platform ecosystems are examples of such models.