· CESSDA ERIC
· European Open Science Cloud
· LISS Panel
· Open Machine Learning
The Consortium of European Social Science Data Archives (CESSDA) aims to form a European infrastructure for the social sciences, where scientists can go for data, tools, advice and knowledge exchange.
Common Lab Research Infrastructure for the Arts and Humanities (CLARIAH) is an infrastructure program for the Humanities to be able to use massive amounts of data in the form of text, structured data, images and audiovisual files.
As more and more (multi-modal) archives, newspapers, magazines and text corpora in general become available electronically, the need to use speech and in particular language technology to unlock this enormous amount of data grows. Searching for "similar" documents, detecting the "sentiment" of a text document, selecting data that meets criteria A, B and C, and automatically detecting "name entities" are typically things that work well with current language technology can be done. However, it is a huge waste of energy when every user or researcher has to fine-tune existing technology for his or her project, something that often has to be done now because University A's search technology is not suitable for the data of organization B. Do we want to moreover, not only use texts in Dutch but also texts in other languages, the amount of effort per project will probably become so great that it is often no longer worth the effort.
CLARIN aims to do something about this by converting the source material into an internationally accepted standard and by developing tools that can deal with these international standards. Because this is not only done in the Netherlands but in as many European countries as possible, there will soon be an infrastructure with which history researchers from Naples can search the (CLARIN approved) archives in Naples, Amsterdam and Helsinki in the same way as a linguistic researcher from Amsterdam who will search in text files can do in Utrecht, Frankfurt and Madrid.
DARIAH stands for Digital Research Infrastructure for the Arts and Humanities. Within DARIAH, a "digital workbench" is being created for alpha scientists in Europe. Researchers can turn to DARIAH for finding data and tools, archiving their data, knowledge exchange and advice in the field of metadata and digitization.
EHRI stands for European Holocaust Research Infrastructure. Within EHRI, more than 20 organizations - research institutions, libraries, archives, museums and memorial sites - from several countries work together in the field of accessing Holocaust sources.
DTL acts as the Dutch node of ELIXIR, the European data infrastructure for the life sciences. ELIXIR unites Europe’s leading life science organisations in managing and safeguarding the increasing volume of data generated by publicly funded research. ELIXIR-NL has three focus areas: compute and storage infrastructure, data interoperability, and training & education. Central to many of ELIXIR-NL’s activities are the FAIR Data principles, i.e., research data should be Findable, Accessible, Interoperable, and Reusable for both humans and computers.
European Open Science Cloud
Giving a major boost to Open Science in Europe, the Commission presented its blueprint for cloud-based services and world-class data infrastructure to ensure science, business and public services reap benefits of big data revolution: the European Open Science Cloud (EOSC).
In Europe (EOSC), The United States (The Commons), Australia (AORC), and Africa (ADIRC), efforts to collaborate are already under way to prevent renewed silo formation and to ensure international interoperability. The EOSC is branded by the High Level Expert Group (HLEG) in its report (2016) to the European Commission as 'The Internet of (FAIR) Data & Services' (IFDS).
The Health-RI research infrastructure at a glance
In 2025, we envisage a globally unique research infrastructure in the Netherlands that will both drive and support cross-disciplinary research into personalized medicine & health and optimize personalized healthcare.
The overall aim is to enable frontier science and technology development in the field of personalised and high precision medicine and health with high reproducible output. The infrastructure will become the national platform for high-quality experimental design and high-quality measuring with high-quality data stewardship and high-quality data analytics.
The LISS panel is the core element of the MESS project (Measurement and Experimentation in the Social Sciences). This project is devoted to enabling researchers to benefit from existing data, to carry out their own survey or to design a special experiment. All LISS data published on the website are available to academic researchers and policy makers.
ODISSEI (Open Data Infrastructure for Social Science and Economic Innovations) works to develop a sustainable research infrastructure for the social sciences in the Netherlands. Through ODISSEI, researchers within the social sciences have access to large-scale, longitudinal data collections connected to registrations from Statistics Netherlands (CBS). This virtual web enables researchers to answer new, cross-disciplinary research questions and to investigate existing questions in new ways.
OpenEarth is a free and open source initiative to deal with Data, Models and Tools in earth science & engineering projects, currently mainly marine & coastal. In current practice, research, consultancy and construction projects commonly spend a significant part of their budget to setup some basic infrastructure for data and knowledge management. Most of these efforts disappear again once the project is finished. As an alternative to these ad-hoc approaches, OpenEarth aims for a more continuous approach to data & knowledge management. It provides a platform to archive, host and disseminate high quality data, state-of-the-art model systems and well-tested tools for practical analysis. Through this project-superseding approach, marine & coastal engineers and scientists can learn from experiences in previous projects and each other. This may lead to considerable efficiency gains, both in terms of budget and time.
Open Machine Learning
OpenML is an open ecosystem for machine learning. By organizing all resources and results online, research becomes more efficient, useful and fun.
The Parelsnoer Institute (PSI), established in 2007 by the Dutch Federation of University Medical Centres (NFU), offers researchers within the eight University Medical Centres and external researchers an infrastructure and standard procedures for the establishment, expansion and optimisation of clinical biobanks for scientific research.
SeaDataNet is a standardized system for managing the large and diverse data sets collected by the oceanographic fleets and the automatic observation systems. The SeaDataNet infrastructure network and enhance the currently existing infrastructures, which are the national oceanographic data centres of 35 countries, active in data collection. The networking of these professional data centres, in a unique virtual data management system provide integrated data sets of standardized quality on-line. As a research infrastructure, SeaDataNet contributes to build research excellence in Europe.
Sustainable Infrastructure for Translational Biomedical Research. The Dutch Translational Research IT (TraIT) project was launched in October 2011 to address these informatics challenges in translational research. TraIT enables integration and querying of information across the four major domains of translational research: clinical, imaging, biobanking and experimental (any-omics). Scientists within multi-site projects should be able to share and disseminate data and analyses from these domains in the TraIT translational research space.
Yoda is a share-collaborate environment for research data at Utrecht University.