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Open Science ambassadors in Life Science

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Join a 16-week long personal mentorship & training program for Open Science ambassadors in Life Science. Are you an early stage researcher with a project idea ranging from creating an open data, developing open source software, writing an open publication, facilitating team culture movements, advancing open educational resources to other new ideas? All applications -irrespective of the stage of the… Continue reading →

ELIXIR-NL participating at the ELIXIR All Hands 2020

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Lots of participants from ELIXIR-NL are present at the virtual All hands meeting from ELIXIR starting today June 8-10th. Evangelia A. Papoutsoglou presents ‘Building upon an existing standard for better plant phenomics data FAIRness’ and Egon Willighagen ‘ELIXIR and Toxicology: a community in development’.  In the mini-symposium FAIRification for knowledge management, Celia van Gelder is presenting the terms4FAIRskills initiative. Furthermore… Continue reading →

ELIXIR’s FAIR Training working group published a paper in PLoS Computational Biology – ‘10 Simple Rules for Making training materials FAIR.’

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Imagine you’d want to produce a new bioinformatics training course or update an existing one.  However, appropriate materials are scattered across different repositories, siloed in their home institutions and/or lack the metadata required to re(use) them. This is a classical problem which can be tackled by FAIR (Findable, Accessible, Interoperable and Reusable) principles. The ELIXIR working group on FAIR training… Continue reading →

ELIXIR launches new EU Project — Beyond One Million Genomes (B1MG)

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ELIXIR kicked off the Beyond One Million Genomes (B1MG) project which is funded by Horizon 2020.  22 signatory countries are working together to ensure that the declaration of cooperation ‘Towards access to at least 1 million sequenced genomes in the EU by 2022’ (also known as the ‘1+ Million Genomes’ initiative (1+MG)) will become reality.  This will ultimately improve disease… Continue reading →

ELIXIR facilitates development of comprehensive disease map for COVID-19

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In an international effort to organise the molecular processes underlying the SARS-CoV-2 virus-host interactions in COVID-19, 196 contributors from 31 countries have created a visual exploration and analytics tool. This resource will improve researchers’ understanding of COVID-19 and speed up the development of efficient diagnostics and therapies. It will also facilitate collaboration between clinicians, virologists or computational biologists in developing… Continue reading →

Dutch public universities can now apply for funding to establish or advance locally based Digital Competence Centres

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In the era of extensive digital output of science and the movement towards Open Science, applicable (international, domain specific) standards such as driven by the FAIR Data Principles are crucial. Research software should be sustainable, maintained and shared, and researchers should be able to use and rely on state-of-the-art infrastructure, such as calculating storage facilities and data/software repositories. However, the… Continue reading →

Nominate data for the Dutch Data Prize

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Are you a researcher or know someone with a dataset who’s eligible for the Dutch Data Prize? Nominations can be made until 1 Juni 2020. To be eligible the data needs to be in a ‘trustworthy digital repository’; open access available, or the documentation of the dataset explains why this is not possible and under which conditions interested parties can… Continue reading →

ZonMw’s COVID19 research program online

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The Dutch funder organisation ZonMW has fast-track calls for COVID19 funding. If you haven’t visited their website to see if your research is eligible for funding please do so. The (2nd) ZonMW program has 3 focus areas: Predictive diagnostics & treatment Care and prevention Societal dynamics More info can be found here.

Join the online Biohackathon April 5-11th #covid_19_bh20

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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

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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 →