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Methods for Data Reusability

The internet and digital technologies are transforming societies, business and research. In our digital age, digital single markets remove barriers to access the goods and services, Industry 4.0 connects devices and platforms to enable flexible manufacturing processes, data driven science and big data analytics radically changes research and innovation. All these promising advancement is only possible with the availability of the machine interpretable and processable data.

However current methods to generate, store and exchange data is not sufficient to generate machine consumable data.

The data reusability studies focus on methods, standards, infrastructures and tools to improve discoverability, semantic interoperability, traceability, and data exchange.

Various large scale infrastructures such as European Open Science Cloud, ELIXIR, EUDAT, i2b2 establish digital infrastructures to enable data sharing and consumption.

In this seminar, students will research on components and enabling technologies of digital data reuse infrastructures.


Seminar topics will cover data models, standards, methods to improve discoverability, accessibility, semantic interpretability of data and metadata, as well as analysis of best practices and recommendations for data reuse. 

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