How does the Netherlands eScience Center select which research projects to collaborate on?
The Center typically engages in collaborative projects through specific calls for proposals, such as the eScience Grant program, or through direct partnerships with research institutions. Projects are selected based on their scientific impact, the potential for eScience to make a significant contribution, and alignment with the Center's expertise and strategic focus areas.
What kind of support does the Center provide for researchers interested in adopting FAIR data principles?
The Center actively promotes and supports the adoption of FAIR (Findable, Accessible, Interoperable, Reusable) data principles through its projects and training initiatives. This includes developing software that facilitates FAIR data practices, providing guidance on data management, and offering workshops on making research data more open and reusable.
Can individual researchers or small research groups directly access the Center's high-performance computing resources?
The Netherlands eScience Center primarily provides expertise and co-development services rather than direct access to raw HPC infrastructure. Researchers collaborate with the Center's eScience engineers who then leverage and apply HPC resources as part of the project's software and data solutions. Access to national HPC facilities is typically managed through SURF.
What is the typical duration of a collaborative project with the Netherlands eScience Center?
The duration of collaborative projects can vary significantly depending on the scope and complexity of the research question and the eScience solution being developed. Projects often range from several months to a few years, with clear milestones and deliverables defined at the outset of the collaboration.
Does the Center offer training programs for researchers who want to develop their own eScience skills?
Yes, the Netherlands eScience Center is committed to training and education. It offers various workshops, courses, and educational materials designed to equip researchers with essential eScience skills, including data science, scientific programming, and the use of advanced computational tools.