Mathematical Research Data Initiative
Mathematical research data is complex, multifaceted, and it has become vast. Through the successful application of mathematics in interdisciplinary research, it is wide-spread in the scientific landscape.
The Mathematical Research Data Initiative (MaRDI) aims to set standards for certified mathematical research data, the design of confirmable workflows, and it provides services for the scientific community. The designated goal is to realize the FAIR Data Principles across the entire field of mathematics and its applications. FAIR means Findable, Accessible, Interoperable, and Re-purposable.
The three initial, research motivated pillars are scientific computing, computer algebra, and interdisciplinary mathematical research. They target certified data and software developments as well as confirmable workflows, working toward respective service prototypes. For the complex and multifaceted mathematical data arising in the aforementioned fields, standardized data formats, application programming interfaces (APIs), and query languages will be developed. The prototypical services will be expanded into full services which provide added value to current research.
Another important MaRDI component is the development of significantly enhanced information retrieval services, including mathematical models as research data, a cross-disciplinary mathematical digital semantic atlas, ontologies, and metadata such as, e.g., an algorithm metadata library.
MaRDI will develop a digital service portal as a one-stop unique and easy to access contact point for the scientific community to retrieve and consult MaRDI services. This portal will be developed in an agile fashion and installed permanently.
The sustainable realization of the findings of MaRDI require a community which adheres to a FAIR data culture and FAIR research workflows. For this, MaRDI will build and enable collaborative platforms which play an important role in disseminating knowledge, pursuing the scientific discourse and ensuring quality control.