In The Netherlands “the land of water” the ecological quality of ponds, ditches, wetlands and lakes is severely degraded due to escalating and interacting anthropogenic pressures including pollutants and climate change. SEFAP unites leading Dutch freshwater experimentalists, infrastructures and data scientists to provide a step forward in collaborative science and inland water ecology. By conducting experiments in SMART-enabled replicated mini-lake ecosystems, SEFAP will enable the future of our waters to be experimentally created and tested. In combination, the technical innovation and community-building of Dutch aquatic experimentalists will strengthen the ability to predict and mitigate undesirable futures in aquatic ecosystems.

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Synthetic data is a dataset with (more or less) the same properties as an original dataset but without privacy-sensitive information. By making synthetic data available instead of (or prior to) the actual dataset, scientists gain faster and easier access to confidential data. In this project, two tools for creating synthetic data are used to unlock existing datasets, including datasets archived at DANS.

The scientific literature barely addresses the evaluation of universities’ Open Science programs. 4OpenScience develops and tests an innovative evaluation framework enabling the identification of the positive and negative effects of Open Science Programs of Dutch universities. It realizes a scientific breakthrough by both developing a completely novel standard for universities’ Open Science program evaluations and establishing an essential, new research direction. Focusing on Open Science program elements with the most positive effects may lead to increased openness in science, potentially contributing to transparency, rigor, and the accumulation of knowledge. Finally, these improvements can advance scientific knowledge in all research disciplines.

This project aims to enhance the digital readiness and data interoperability practices among Social Sciences & Humanities (SSH) researchers in the Netherlands to advance open science principles. The project will fund an Ontology & Metadata Coordinator and Interoperability Specialists to lead collaborative "Interoperability Missions" addressing knowledge gaps and promoting best practices. Working together with local university research data support staff, these missions will foster cross-domain collaboration, supported by national and international networks to improve research practices. Key outcomes include improved digital and data readiness, strengthened collaboration and enhanced capacity for open science practices in the SSH domain.