Join the online Biohackathon April 5-11th #covid_19_bh20

Goals of the online Biohackathon April 5-11th 2020 are readily accessible data, protocols, detection kits, protein predictions etc. Anybody can contribute- no prior experience with (Bio)Hackathons is required. Working groups include FAIR data, workflows and pipelines, pangenomes and variation graphs, machine learning, text mining and visualisations. More information can be found here.

Urgent COVID-19 data hurdles and how to tackle them

During the COVID-19 pandemic researchers are working around the clock to make vaccines, advance medical treatment and protocols for the sick. We are in an unprecedented situation where the whole world has to deal with this pandemic. In previous weeks we have seen the real strength of data sharing. However, there are still lots of hurdles when it comes to… Continue reading

Open Science Festival: call for proposals until 10-3-2020

The National Open Science Festival takes place August 27, 2020 in Wageningen, NL. It is a great place for researchers to learn (more) about Open Science. Learn and share your knowledge & best practices. Do you have ideas for a proposal? Send it in until March 10, 2020. Interactive sessions can include topics such as tools for practicing open science;… Continue reading

New updated version of the Data Stewardship Wizard available

The Data Stewardship Wizard has new features built in to make the management of FAIR (Findable, Accessible, Interoperable, Reusable) data even easier. A question-based decision tree guides researchers, step-by-step, through all aspects of data management: IT, archival and data publication, sustainability and the entire FAIR data spectrum. It assists with finding the right expertise, technologies and, by showcasing practical experiences… Continue reading

The EU-funded ELIXIR Europe project CONVERGE, bringing together FAIR life-science data management in all ELIXIR countries, officially kicked off

ELIXIR-NL and DTL (as the coordinating head office) are more than happy to be part of it. Integrating earlier efforts from an ELIXIR Implementation study on Data Stewardship and from the ZonMw funded work on Data Stewardship competencies and skills, ELIXIR-NL will lead the training and capacity building activities. The aim is to establish a comprehensive ELIXIR Training and Capacity… Continue reading

Sorbonne declaration on research data rights signed to open up research data by networks of research-intensive universities from all over the world

During the international Research Data Rights Summit on 27th January networks of research-intensive universities from major regions of the world committed themselves to opening up research data. They also called upon governments to adopt a clear legal framework to regulate this sharing and for funders to provide the resources to enable data curation and sharing. The network commits to FAIR… Continue reading

The Health-RI conference “Towards data driven health” takes place 30th January 2020

How do we achieve personalized medicine? How do we enable data-driven health? ‘Towards data driven Health” is the title of the Health-RI conference January 30th 2020 at the Jaarbeurs in Utrecht.  The deadline for abstract submission is 20th December 2019. Highlights are the keynote talk from Dr. Eimear E. Kenny, Icahn School of Medicine at Mount Sinai, New York on ‘Personalized… Continue reading

Health-RI and DTL at the eScience Symposium Digital Challenges in Open Science (21-11-2019)

Health-RI & DTL will host a session Open Science- Health & Life Sciences within the National eScienceCenter Symposium 2019 Digital Challenges in Open Science on Thursday 21-11-2019 in Amsterdam. Better sharing and (re)use of health data has the potential to significantly impact research and to revolutionize health care, for example by combining it with novel artificial intelligence approaches. Still, significant… Continue reading

Professionalizing FAIR Data Stewardship in the life sciences: defining job criteria & skills

Within the life sciences more and more data is generated and research often requires sharing and combining data. Personalized medicine is a prominent example where data from different disciplines need to be combined to determine the best treatment for an individual. Think about combining vastly different data from health records, pharmaceutical treatment history, research findings and dietary intake, to name… Continue reading