The structural Bioinformatics Community (3D-BioInfo) has the mission to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies and agreed benchmarking. The ties with the structural biology research communities in Europe will be strengthened and dedicated training and outreach efforts will be taken. Four major topics form the basis of this study:
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ELIXIR-CONVERGE is a project funded by the European Commission to help standardise life science data management across Europe. To achieve this standardisation, the project will develop a data management toolkit for life scientists. The toolkit will help ensure more research data is in the public domain, which will give scientists access to more data. This will allow them to discover new insights into the challenges facing society, such as food security and health in old age, and help stimulate innovation…
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Bioschemas leverages Schema.org, a widely implemented community effort supported by the main search engines to provide a way to add semantic markup to webpages. By enriching webpages with Bioschemas annotation, independently published content can be harvested and used by other resources without the need for APIs. As such, Bioschemas has the potential to boost Open and FAIR science.
Read moreSoftware containers are a key element in the frame of Open Science & Open Source which is strongly supported and advocated by ELIXIR. Software containers guarantee data provenance when described as part of scientific workflows and are an important element towards reproducibility. This study is divided into three work-packages that complement each other:
This Strategic Implementation study around Container Orchestration aims to coordinate the ELIXIR Platforms (Compute & Tools) expertise within the Nodes, related projects and resources to establish ELIXIR-wide standards, protocols and processes for the orchestration of containerised applications provided by ELIXIR Communities.
Read moreFONDUE: FAIRification of plant genotyping data and its linking to phenotyping using ELIXIR platforms
Recent progress in sequencing technologies has produced several large scale data sets for crops. The insights gained by this data have been published in high profile scientific articles, but the underlying raw genotype data and the associated sample and population metadata have not been routinely submitted to appropriate archives. The aim of this implementation study is to provide this wealth of data according to FAIR principles ensuring an interoperable link with the phenotypic data that is stored in distributed…
Read moreAs data analysis is common place in life sciences, we need to establish scalable ways to develop and share analysis workflows and train researchers to make use of them. The latter entails an end-to-end approach from access to data over selection and proper usage of the appropriate workflow and deploying this on available (cloud) resources.
Read moreFAIRification for large-scale life sciences research requires FAIRification of all aspects: data, tools, training and hardware infrastructure. Cloud computing has emerged a key infrastructure that calls for interoperability of software to facilitate data retrieval and processes that are dispersed across multiple sites. The European Open Science Cloud (EOSC) programme is established in realisation of the large-scale cloud-based data integration. The ELIXIR Interoperability platform mission aligns with the EOSC terms of…
Read moreThis Metabolomics Community-led study focusses on the standardization of fluxomics workflows. The study is led by ELIXIR Greece and ELIXIR Spain and supported by EMBL-EBI and 11 other national ELIXIR Nodes, among which ELIXIR Belgium (Bart Ghesquire).
Read moreThis grant aims at collaboration between a number of research infrastructures in Flanders. The ESFRIs in scope are LifeWatch, DiSSCo and ICOS (Environment cluster), and ELIXIR, AnaEE, Euro-BioImaging, EMBRC and Instruct (Health and Food cluster). The project is led by VIB (ELIXIR) and VLIZ (LifeWatch).