Riza Nugraha

Frontend Software Engineer


July 14, 2017 | By Seher Room 0

In our previous two blogs posts we touched upon why it is important to add open source software licenses to your published software and had a look at two example licenses, Apache 2.0 and GPLv3. In our last blog post of this series we will zoom in to the compatibility issues some of the licenses have […]

June 2, 2017 | By Natalia Boukharov 0

The Hyve wins Best of Show and Best Poster at Bio-IT World 2017 with partners

Overview of The Hyve adventures at Bio-IT world 2017. Best of show for MatchMiner and best poster awarded to the RADAR-CNS poster.

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May 24, 2017 | By Seher Room 0

In our previous blog post you could read about Open Source Software and why it is important to add a software license to your software. In this blog we will start off by looking at two of the open source licenses we use at The Hyve, Apache 2.0 and GPLv3. A list of the most […]

May 10, 2017 | By Seher Room 0

Recently we had an intern in the Legal team of The Hyve.  We had some questions for him regarding open source software licenses and we would like to share what we learned during his time here. Read the first in a series of blog posts here.

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April 25, 2017 | By Kees van Bochove 0

Which tools support FAIR research data management in an academic hospital setting combining both clinical and omic data sources.

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April 13, 2017 | By Jarno van Erp 0

Several people came together to discuss the future of FAIR data and witness the launch of the Metabolomics GO FAIR Implementation Network.

April 2, 2017 | By Irina Pulyakhina 0

A detailed overview of MatchMiner, its novelty and functionality.

April 2, 2017 | By Sjoerd van Hagen 0

We are proud to present MatchMiner – the first fully open source platform for algorithmically matching clinical trials to the patient information.

March 27, 2017 | By Jarno van Erp 1

Due to the recent developments surrounding FAIR data, we have decided to research how we can make our own open source tools FAIR.

February 13, 2017 | By Joris Borgdorff 1

In RADAR-CNS, a 22M IMI research program, we are developing and integrating technologies to gather data from wearables and make the data accessible for monitoring disease relapse outside the clinic.

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