EOSC-Life brings together the 13 BMS RIs on the ESFRI Roadmap. The project consortium comprises all the legal entities of the established BMS RIs, including a set of national centres that provide access to leading international scientific service platforms. It also includes the coordinating centres and key institutes of the preparatory phase infrastructures – in total 63 partners and linked third parties in 14 countries. The EOSC-Life consortium represents a truly continent-scale effort. Collectively the BMS RIs have national nodes in 23 European countries, and EOSC-Life will benefit from the established outreach and technical coordination functions among them.
ELIXIR*, the European life-science infrastructure for biological information, is a unique initiative that consolidates Europe’s national centres, services, and core bioinformatics resources into a single, coordinated infrastructure.
ELIXIR brings together Europe’s major life-science data archives and connects these with national bioinformatics infrastructures throughout ELIXIR’s members, of which there are 22 across Europe. ELIXIR’s organisational team (‘Hub’) is based in the UK, within the European Molecular Biology Laboratory – European Bioinformatics Institute (EMBL-EBI).
ELIXIR supports users addressing the Grand Challenges in diverse domains ranging from marine research via agriculture to health research and medical sciences. By consolidating the expertise and outputs of such a broad range of institutes, ELIXIR offers researchers access to bioinformatics expertise, data, tools, compute resources and training for their research.
* ELIXIR is represented in the project by EMBL, the European Molecular Biology Laboratory
ELIXIR has a multitude of connections both across other research infrastructures in Europe and further afield, but also through the Node network of academic institutes and industry connections. ELIXIR’s users range from wet-lab scientists, to bioinformaticians, to service providers across a broad spectrum of scientific domains. ELIXIR understands the needs of researchers striving to find the best methods for data analysis and discovery, but also the needs of service providers who require rapid access to novel and diverse datasets.
As coordinator ELIXIR is the lead organisation involved in the Project Management (WP11) of EOSC-Life, and offers the underlying technical, financial and administrative management for the project to run smoothly and meet all objectives. ELIXIR is well placed for this task as it has extensive experience in managing large, EU-funded project consortia, such as the CORBEL and FAIRPlus projects. ELIXIR has existing connections and collaborations with the other European research infrastructures, and through the Project Management role will facilitate other organisations involved in EOSC-Life to fulfil their obligations.
Other individuals that are part of ELIXIR through the Nodes are also involved in WPs of the CORBEL project. ELIXIR Partners co-lead the following WPs:
WP1 – Helen Parkinson (EMBL-EBI)
WP5 – Ludek Matyska (ELIXIR-CZ)
WP7 – Steven Newhouse (EMBL-EBI) and Chris Lawerenz (ELIXIR-DE)
WP9 – Gabriella Rustici (ELIXIR-UK)
WP11 – Niklas Blomberg, Friederike Schmidt-Tremmel (ELIXIR Hub)
Expertise: Access to biobanks and biomolecular resources, access, data, ELSI, innovation.
The pan-European Biobanking and BioMolecular resources Research Infrastructure – European Research Infrastructure Consortium (BBMRI-ERIC) improves the accessibility and interoperability of the existing comprehensive collections, either population-based or clinical-oriented, of biological samples from different (sub)populations of Europe. With 20 member states and one international organisation, BBMRI-ERIC is one of the largest research infrastructures in Europe. Its Directory lists over 600 biobanks and over 100 million samples and datasets, accessible through the Negotiator tool. BBMRI-ERIC also supports members through its CS IT, Quality Management and ELSI services.
BBMRI-ERIC is Work Package Co-Leader for WP4, WP6 and WP10, supported by our Linked Third Parties.BBMRI ERIC
EATRIS, the European Infrastructure for Translational Research offers a new collaboration model for fostering innovation. The infrastructure plays a fundamental role in the advancement of knowledge and technology in translational research and drug development. With over 90 leading institutes, across 12 EU Member States, EATRIS provides access to the entire pipeline of academic translational infrastructure and expertise, and optimises the route from discovery to proof-of-concept in medicines development. It provides a new development pathway, open to researchers and companies in need of support for advancing biomedical innovations.
EATRIS helps pooling and exploiting the translational academic capacities of the infrastructure in omics technologies to enable researchers to better address the scientific and societal challenges of Personalised Medicine.
Under EOSC-Life, together with BBMRI, EATRIS will co-lead the open call on sensitive data foreseen under WP3. In addition EATRIS is WP co-lead for Education and Training (WP9) and contribute to the communication WP (WP10).
EATRIS also works closely with EATRIS data core team formed by five EATRIS linked third parties: University of Helsinki (FI), IMTM (CZ), Lygature (NL), VHIR (ES), and Mario Negri Institute (IT). EATRIS linked third parties will contribute to the project through WP1 Publishing FAIR RI data resources in EOSC; WP2 Make tools and workflows interoperable and reusable in the EOSC across RIs and WP4 Policies, specifications and tools for the management of data for biological and medical research. Under WP8, Mario Negri Institute will lead a task on assessing the impact of life-science open data in the cloud on data reproducibility.
ECRIN is a not-for-profit intergovernmental organisation that supports the conduct of multinational clinical trials in Europe.
Multinational clinical trials provide greater access to patients, facilities and medical expertise; raise methodological standards; enable the sharing of costs, tools and procedures; increase the potential for broad implementation of research outcomes; and prevent duplication of research.
However, various trial obstacles – from infrastructure interoperability to regulatory and ethical requirements and management and funding issues – deter many investigators from attempting multinational trials. This is especially the case for independent or academic trials which are more frequently conducted in a single country than industry-sponsored trials. This limited scope means reduced potential impact on global public health.
ECRIN provides a means to overcome the above challenges by offering researchers support to prepare and implement multinational trials. Support areas include the preparation of applications for funding, protocol evaluation, trial management, quality assurance and more. The clinical research ecosystem is currently undergoing a digital revolution, with the possibility to reuse data already collected in the context of research projects (trials, cohorts, registries), or healthcare and health systems (electronic health records, hospital datawarehouses, health databases) for research purposes.
EOSC needs a framework for secure archiving, discovery, dissemination and analysis of human -omics, translational research, clinical research and health research data. Services for access-controlled human data will need to meet the challenges of 1) limited sharing, needed in transnational collaborative research projects, as well as 2) long-term sharing, where the opportunity for reuse of data will increase the rate of scientific discovery and validation, leading to greater impact in the scientific and medical/healthcare fields. A secure authentication and authorisation process is essential to enable the scientific community to use human data without compromising privacy and informed consent. So are guidelines and compliance processes.
It is incumbent on the BMS RIs to define and drive secure human data services in the EOSC. This should include:
– Data governance and support to the user-driven deployment of workflows within a secure and compliant cloud environment.
– ELSI Guidelines, ELSI helpdesk, GDPR compliance, Code-of-conducts, etc.
ECRIN, as a co-leader of WP4, will develop and promote policy recommendations and specifications to work with multi-source environments, and propose solutions enabling secure federated storage, access and sharing of sensitive health data for research purposes.
The European Marine Biological Resource Centre (EMBRC-ERIC) is a pan-European Research Infrastructure for marine biology and ecology research. It provides researchers a variety of unique resources that are custom to the demand of the user and is a driver in the development of blue biotechnologies, supporting both fundamental and applied research activities for sustainable solutions in the food, health and environmental sectors.
With 6 of its marine research infrastructures involved in the project, EMBRC brings its expertise in FAIR data management, data integration, data policies, trainings and ABS principles and legislations. The RI is involved in WP3, WP4, WP6, WP8 and WP11 and will work to provide specialized expertise to bring the capabilities of big science projects to the wider research community and direct access to FAIR data and tools in a cloud environment. EMBRC will also address data policies and overall creating an open, continent-scale, collaborative and interdisciplinary environment for data science to help create a solution to the problem EOSC-Life is tackling.
EMPHASIS is a distributed Research Infrastructure with the aim to develop and provide access to facilities and services that address multi-scale plant phenotyping in different agro-climatic scenarios in Europe, supporting food security under conditions of climate change. It will establish an integrated European phenotyping infrastructure to analyse genotype performance under diverse environmental conditions and quantify the diversity of plant traits contributing to performance in these diverse environmental scenarios such as plant structure and architecture, major physiological functions and output, yield and its components and quality. It is still in the preparatory phase (2017 – 2020, coordinated by Forschungszentrum Jülich, Germany), aiming at developing a sound strategy together with the community for its implementation and operation starting 2021). Services currently being developed and implemented will provide access and related services to plant phenotyping infrastructures and data.
Role in EOSC-Life
Within the framework of EOSC, EMPHASIS will enable interoperability of plant phenotyping data according to FAIR principle, making them re-useable for the plant phenotyping and neighbouring communities. It will further elaborate on, develop and provide tools for the communities enabling analysis of data for concrete scientific challenges related to plant sciences in general, plant breeding, and technology development among others for imaging technologies, robotics and automatisation. EMPHASIS will build its activities on existing collaboration with the EOSC-Life coordinating institution ELIXIR, aiming at developing joint standards and ontologies and bringing together genetic and phenomic information of plants. To that end, EMPHASIS is involved in four Work Packages of EOSC-Life (WP 1, WP 2, WP 3, WP 8)
Infrastructure Systems Biology Europe (ISBE) provides stewardship and insight into biological data and their acquisition.
1) The Do Me an Experiment pillar helps generating systems’ data, e.g. related to enzyme kinetics, metabolomics, and epigenetics (http://www.sysbio.it/isbe/)
2) The Make Me My Model (M4) pillar helps customers to make various types of data (genome sequence, transcriptome, proteome, metabolome, physiological, kinetic etc. n-related) predictive and understood. Providing modelling most appropriate for the data set, M4 performs both dynamic data analysis via building phenomenological models with a top-down approach (ISBE.si), and bottom-up mechanism-based modelling (ISBE.NL) (www.isbe.nl). Both activities are followed by a model analysis that helps understand the system under study, e.g. predicts the effects of therapeutic or biotechnological interventions useful for model-driven experimental design and bioengineering, or for therapeutic practice. M4 can do this for a customer, assist the customer to do this himself or herself, or train the customer in person or in online tutorials, to do this.
3) The Live Model Repository pillar of ISBE develops systems biology tools for construction, modification and simulation of kinetic models and for the storage of curated models through JWS Online (https://jjj.bio.vu.nl/).
4) The Data and Model Stewardship pillar of ISBE supportw Systems Biology to make Data (models, data, SOPs, samples, workflows) FAIR, and generalisable to any kind of FAIR management.
Role in EOSC-Life
ISBE.NL and ISBE.IT takes part in WP1 with the following tasks:
1. Integrate JWS Online (linked with FAIRDOM) into JWS cloud
2. Link reaction rate constants in JWS Online models with transcription data which user can find on ELIXIR or upload to ELIXIR from his/her own experimental data. The higher is the transcription of a gene coding the enzyme, the higher is Vmax of corresponding reaction in JWS Online model.
3. Link reaction rate constants in JWS Online models with transcription data which user can find on ELIXIR or upload from his/her own experimental data. The higher is the transcription of a gene coding the enzyme, the higher is Vmax of corresponding reaction in JWS Online model.
4. Link reaction rate constants in JWS Online models with kinetic constants data which user can find on SABIO-RK or upload from his/her own experimental data.
At the initial stage, user can do the insertion of data to JWS manually. At the second stage, this process should be automatized, in a such way that user can select data on ELIXIR or SABIO-RK, click one button and selected data are taking for simulations on JWS Online.
We should admit that there might be multiple attempts of various authors to build different versions of models, for different fragments of antioxidant system, and for different plants. The approach of blueprint modelling could help to deal with this complexity. Blueprint modelling is based o the concept that all organisms are similar in the way of the organisation of their macromolecular networks. They use similar building blocks (mRNA, DNA, proteins etc.) and similar biochemical reactions organised in similar metabolism pathways. The difference is mostly in the parameters values, e.g. in the expression levels of certain enzymes. Thus, a generic blueprint model can be build and then parameterised for every particular instantiation, e.g. for every particular organism or conditions. The ideal way would be to build such a blueprint model as Live online system in the environment similar to the one proposed by JWS Online (https://jjj.bio.vu.nl/). The models on JWS Online are aligned with FAIR (Findable, Accessible, Interoperable, Reusable) principles and can run online for either default parameters (curated and approved JWS team), or for parameters chosen by the user. User can choose parameters based on his/her own experimental data or form curated databases, such as SABIO-RK (www.sabio.h-its.org), or from the data assembled at facilities of ELIXIR Research Infrastructure (www.elixir-europe.org). Now user should do it manually. However, it is planned to do it in automatic way. For example user will go in database, choose the appropriate organism and conditions, and run model simulations in the JWS Online environment.
II. ISBE.NL takes part in WP9 with developing the framework (e.g Open Call) for those who will develop courses and tutorials for EOSC users.
Charité in Berlin is one of the largest university hospitals in Europe. All of the clinical care, research and teaching is delivered by physicians and researchers of the highest international standard. The Berlin Institute of Health (BIH) aims to translate innovations from the lab to the clinic. BIH focuses on developing new therapies and diagnostics that not only improve or maintain quality of life, but also create value.
The co-head of EOSC-Live WP Cloud Deployment Services is assigned to Charité. It acts as the beneficiary organization for one of Europe’s largest scientific clouds, the de.NBI Cloud. This German federated cloud provides EOSC-Life with powerful computing and storage resources. The supported cloud appliances enable adequate access to resources. The cloud platforms enable the use of existing and future workflows and software packages. Strong focuses are training courses and extensive measures within the scope of data protection and IT security according to GDPR.
The Data Readiness Group, part of the Department of Engineering Science at the University of Oxford, researches and develops methods and tools to improve data reuse, working for data transparency, research integrity and the evolution of scholarly publishing.
With collaborators worldwide, we design and develop open source software, to improve collection, representation, sharing and publication of multi-dimensional data. We also build interoperability standards; we run informative, educational registries to enable data quality and readiness, essential in Data Science.
Working with and for researchers, service providers, journal publishers, library science experts, funders and learned societies in the academic as well as in the commercial and governmental setting, we ensure that data is Findable, Accessible, Interoperable and Reusable for humans as well as for machines.
Role in EOSC-Life
In WP6 we lead on the FAIR-related task, bringing our FAIRsharing (https://fairsharing.org/) resource, as well as our collaborative work on the FAIR Maturity Indicators to develop a FAIRassist service to support the long-tail of life-science research in data FAIRification.
The Fraunhofer organisation is Europe’s largest application-oriented research organization. It’s research efforts are geared entirely to people’s needs: health, security, communication, energy and the environment. Fraunhofer IME is one of the Partner organisations of EU-OPENSCREEN, the European Infrastructure for Chemical Biology and Screening. The focus of Fraunhofer IME is to contribute steadily and substantially to the development of new approaches for the diagnosis and treatment of diseases. One research covers the development of bioinformatics and data management processes to help drug discovery and target validation. Areas of interest include FAIR and Federated data approaches, as well as the application of machine learning for hypothesis generation in target validation. For example, the Fraunhofer “Medical Data Space“ Modeled on the basic functionalities offered by the “Industrial Data Space“, the Medical Data Space offers decentralized data management for medical bioinformatics allowing autonomous and secure data storage as well as data exchange between networked databases.
With EOSC-LIFE, Fraunhofer is working to facilitate the cloudification of RI data sources within WP1. Fraunhofer-IME has extensive expertise in scientific data management and technical implementation of cloud-based resources that will be used to help RI-based users get their data sets to point where they are suitable for deployment.
Biocenter Oulu (BCO) RI operates in the University of Oulu, is open-access and serves academic and non-academic customers in research and R&D projects. BCO Transgenic Core is part of the ESFRI INFRAFRONTIER acting as the Finnish European Mouse Mutant Archive (EMMA) node and BCO Electron Microscopy (EM) Core is part of the EuBI RI through BCO Tissue Imaging Center. EM Core provides services and training in EM techniques and it is specialized in the ultrastructural analysis of gene-modified mouse tissues.
Role in EOSC-Life
We are producing original EM images on wild-type mouse tissues in the WP1. The goal is to collect images showing tissue-specific ultrastructures, which can be utilized as a reference by researchers studying gene-modified mice. Images are not subject of any ownership or confidentiality issues, are readily available and can be made open-access. Image data is being used to develop data handling and cloudification practices.
CIRMMP will collaborate with the Magnetic Resonance Center (CERM) constitute an infrastructure for Life Sciences, which provides a unique environment for research in Structural Biology.
CERM/CIRMMP infrastructure is specialised in structural biology, molecular biology, protein/complex structure determination, functional characterisation, drug discovery, structure-based vaccine design, bioinformatics, NMR methodology, relaxometry and metabolomics.
Both orgnisations feature 12 spectrometers for solution and solid-state NMR covering the widest range of magnetic fields available, from high resolution NMR (950 MHz) down to 0.01 MHz with relaxometry, equipped with several probes that allows to meet all conceivable experimental conditions.
CERM/CIRMMP has a long-standing experience in access provision dating back to the 90s. Thanks to our scientist’s expertise and a dedicated technical staff we can support both expert and non-expert NMR users coming from many different fields of biological sciences: biomaterials, pharmaceutical, food industries and agricultural sciences. A taste of NMR applicability is available here (http://bit.ly/introNMR)
CERM/CIRMMP is an Instruct-ERIC Core Center for NMR.
CIRMMP has a long-term expertise in the provisioning of computational workflows via web interfaces, exploiting grid and cloud computational infrastructures. A main development to be achieved in EOSC-Life is to deploy approaches ensuring data FAIRness using methods shared with other RIs. In other words, we aim to further develop our protocols in order to make them compliant with the FAIR principles, thereby supporting users in achieving openness of their data.
CIRMMP will lead WP2 and is also involved in WP1, for data aspects. It will contribute to the optimal use of structural biology data by all other involved RIs.
The Spanish Type Culture Collection (CECT) is a broad scope collection that currently maintains circa 10,000 microbial strains (most are prokaryotes, followed by yeasts and filamentous fungi). It is a Service of the University of Valencia (UVEG). As a Biological Resource Centre, it maintains and supplies authenticated and reliable strains and associated data. Strains information is available through the CECT on-line catalogue (www.cect.org), allowing users to find suitable strains for research and quality control among other uses. The catalogue is integrated in other tools like WDCM (www.wdcm.org). The CECT also provides an on-line yeast identification service (www.yeast-id.org) based on genetic profiles.
The UVEG-CECT is involved in the construction of the MIRRI Information System and as part of the Statutory Seat (SS) will host the Collaborative Working Environment (CWE). Through this platform data associated with mBRC isolates from all MIRRI partners will be available. UVEG-CECT will be involved in EOSC-Life WP1 to expose the resources data in a FAIR compliant manner.
Masaryk University (MU) is the second largest Czech university with around 32,000 students and 4,500 staff in 9 faculties and 2 university Institutes, with Faculty of Medicine and Institute of Computer Science (ICS) directly involved in the project. MU is also partner or a national leader of several biomedical research infrastructures, e.g. ELIXIR, ECRIN, EATRIS and EuroBioImaging.
ICS is a leading national institute in the area of e-infrastructures and cybersecurity. It hosts national research infrastructure CERIT Scientific Cloud (CERIT-SC) and the Czech Cybercrime Centre of Excellence (C4E).
Through faculties of Medicine and National Sciences together with CEITEC Institute MU is a national leader in the biomedical research.
This creates at MU a unique environment where many research areas interact together supported with a strong information technology research and development that is tailored to the need of interdisciplinary activities.
In EOSC-Life, both ICS and Faculty of Medicine are involved in the work on policies and tools for a secure environment able to deal with sensitive data (the scope of WP4). This reflects the increasing need of MU researchers in different life science areas to be able to store and analyse growing datasets while guaranteeing strict legal requirements on the work with sensitive human data.
With its expertise in cybersecurity and building international e-infrastructures, ICS and its centre CERIT-SC leads a capacity building project for ELIXIR CZ. CERIT-SC, together with CSC FI (ELIXIR FI), is responsible for the ELIXIR AAI development, management and operation. CERIT-SC has been developing national e-infrastructure for BBMRI.cz since 2011. This infrastructure has become an early concept of what has become an access pipeline for European BBMRI-ERIC in 2016-2017. CERIT-SC also provides AAI for BBMRI-ERIC since second half of 2016. CERIT-SC has long standing interaction with other biomedical institutions, e.g. as a member of West-life and now EDIReX projects (related mostly to the INSTRUCT RI).
With this expertise MU (CERIT-SC) is co-leading the User management and Access services workpackage (WP5) and is also involved in the Cloud deployment workpackage (WP7).
National Institute of Biology (NIB; http://www.nib.si/eng) is a public non-profit organisation performing basic and applied research in the fields of biology, biotechnology, medicine, ecology as well as interdisciplinary fields, joining biosciences with physics, chemistry, statistics and bioinformatics. It employs approximately 135 people and was awarded the ISO 9001 quality certificate for all its activities. NIB was granted ISO 17025 accreditation for detection of genetically modified organisms and their products in foodstuffs and agricultural products of plant origin as well as for detection of microorganisms. We are also European reference laboratory in the area of plant health.
Its Department of Biotechnology and Systems Biology, participating in the project, is focused in bioinformatics and systems biology of plants, gene expression quantification and plant biotic stress. The Department is an active member in EU Infrastructures for Systems Biology (ISBE) and Bioinformatics (ELIXIR). We are also actively promoting the setup of FAIR data management system and have developed a user friendly tool pISA-tree enabling both the wet and the dry lab scientist in the group to organise, analyse and access data in FAIR manner
Role in EOSC-Life
NIB is involved in the demonstrator Plant A+ (Taking Plant Omics Data through Annotation, Acquisition, and Analysis to Application) within the WP3. With long-time experience with omics technologies, as well as standardisation initiatives, NIB is contributing its potato datasets that will be properly annotated and deposited to cloud. NIB have been involved in development of tools, using ontologies (eg. GoMapMan), which can be integrated into analysis pipelines for better data annotation. We will also implement pISA-tree to locally organise the data in FAIR manner and then perform batch upload to cloud.
The Flanders Marine Institute (VLIZ) acts as the coordination and information platform for marine and coastal-related scientific research in Flanders, and serves as an international contact point. VLIZ has set up a strong collaborative network through numerous cooperation agreements with Flemish research groups and administrations and integrates its activities in multiple national and international networks.
The VLIZ Data Centre provides assistance, technologies and tools to support marine data management. Within international networks, VLIZ participates in the development of data infrastructures, and is heavily involved in the management of international e-infrastructures: EMODnet, LifeWatch WoRMS, GLOSS, EurOBIS. VLIZ hosts marine data archives and catalogue systems, and MarineRegions. VLIZ also contributes to the organisation of the EMBRC data infrastructurs, and leadings the virtual access work package of the ASSEMBLE Plus project.
In EOSC-Life VLIZ participates mainly in WP 1. 2, and 6. VLIZ’s experience working with numerous data systems for and with different Research Infrastructures is important here: in particular its archives, catalogues, virtual research environments. Within WP1, VLIZ will provide the data experts that will work on connecting the data resources to the EOSC and support the related demonstrators and calls. Within WP2 VLIZ will contribute to the developments of the tools collaboratory and support the related demonstrators and calls. Within WP6, along with UVIGO and UPV, VLIZ will design specific mechanisms that contribute to the compliance of data with ABS (the Nagoya Protocol).
The University of Cambridge (UNICAM) is one of the world’s leading academic institutions; it comprises 31 constituent Colleges, 150 faculties and departments, organised into six schools.
UNICAM is a member organization of the UK Node of ELIXIR and plays a significant role in the training landscape, not just in the UK, but across the whole of the European ELIXIR project. UNICAM co-leads the ELIXIR training platform and supports the development of training to address key skills gaps amongst UK scientists; it is also responsible for the development and implementation of a framework for assessing training quality and impact of the entire ELIXIR training programme.
In particular, the Bioinformatics Training Programme of the UNICAM’s School of Biological Sciences is an ELIXIR-UK Node Service and is dedicated to address the shortage of bioinformatics training in traditional education by offering a wide-ranging portfolio of hands on training courses in bioinformatics and data science, at both undergraduate and post-graduate level.
Each year, on average, this programme organizes 100 short hands on courses, training 2,300 postgraduates and 1000 undergraduates. The team running this programme, led by Dr Gabriella Rustici, collaborates with many international partners (including the Carpentries, the ISCB Education Committee and GOBLET) to identify training gaps, develop training solutions to address such gaps and build training capacity on a global scale. Dr Rustici co-leads the ELIXIR Training Platform and is also Associate Director of Training for Health Data Research UK, a multi-funder institute for health and biomedical informatics.
UNICAM, in partnership with EATRIS, has the coordination of EOSC-Life WP9,“Training of the EOSC Life community”, including overseeing its execution, monitoring its progresses, and ensuring the accomplishments of its deliverables. Specifically, UNICAM will be co-leading the following tasks: (i) training EOSC-Life staff including data experts, (ii) allocation of the central budget available for the development of new training solutions based on training needs analysis, and (iii) lead the strategy development for training impact assessment.
The Institute of Data Science (IDS) aims to involve students, researchers’ partners and stakeholders coming from different disciplinary backgrounds, to train the next generation of data scientists.
Science has evolved in such way that multiple disciplines are now fully reliant on each other. It is the era of multi – and – interdisciplinarity; where distinct disciplines work together to develop their own fields, and integrate with each other, so that new scientific approaches can also be developed.
Vast amounts of data being generated across all segments of society. If taken advantage of, these data offer an unprecedented opportunity to accelerate scientific discovery, to improve healthcare and wellbeing, and to strengthen our communities
Our organization has experience in developing a data-driven research culture in fields that are not traditionally familiar with novel methods for collecting, managing, and analysing data.
Currently, the appropriate management of data is a major concern across the broad scientific community; that is because existing data often gets lost, and that prevents the many benefits that the reuse of data has to offer. Scientific data can be reused for validating existing findings, answering new research questions, and testing new methods. Our goal is to provide researchers with the necessary knowledge and tools to do so, in a comprehensive way so that researchers with a non-technical background also can understand.
One of the core aspects of EOSC Life is the commitment with making data Findable, Accessible, Interoperable and Reusable – i.e. FAIR. We can offer researchers our expertise in developing training and tools for the implementation of the FAIR principles to their practice.
Within the spectrum of EOSC Life, the IDS has collaborated with ELIXIR, BBMRI and FAIRsharing. We are mainly involved in “WP6: FAIRification and provenance services”, but also aim to collaborate with other work packages such as WP4 “Policies, specifications and tools for secure management of sensitive data for research purposes” and WP9 “Training of the EOSC Life community”.
CRS4 is one of the leading centres in Italy for research and development activities in information technology, bioinformatics, distributed and high-performance computing. The interdisciplinary centre’s research activities focus on the development of enabling technologies and applied computing science in high priority areas recognized as strategic at the regional, national and European levels.
The interdisciplinary expertise found at CRS4 will allow it to contribute to task 2.5, providing automated testing of EOSC-Life tools, workflows and infrastructure. Beyond system failures caused by technical issues, higher level constructs, like workflows, can easily be invalidated by updates to model data sets or changes in tools. Automated deployment and verification will ensure that unexpected results from these instruments are promptly detected and signalled so that contributors can provide corrections and users are warned before relying on the results.