7P9 specialises in the development and implementation of information management and sharing solutions, protocol and (meta)data reporting workflows and templates and collaboration infrastructures and platforms.

The data concepts applied by 7P9 are aligned and are meant to support all stages of the Data Management and FAIRification Life Cycle providing solutions for data producers, data scientists and data users. They are designed to specifically address the challenges of large publicly funded projects, where the data is coming from multiple partners producing diverse types of data and using different internal data reporting standards and infrastructures. 7P9 is working with the data producers to integrate approaches for data harmonisation and FAIRification at the earliest stages of the data life cycle. Existing data workflows and infrastructure are reused as much as possible and adapted to allow transition to a new way of on-the-fly data collection and reporting optimised to minimise the work for the providers and at the same time allow use and reuse in advanced data enrichment and analysis like integrated approaches and machine learning / artificial intelligence applications. New tools are introduced only when needed for better integration or to address new requirements and unresolved issues.

As part of community-driven activities and in collaboration with multiple partners, 7P9 is following an end-to-end information and knowledge management paradigm, where data is only one part of the information to be collected and shared with others. To make data fully understandable and reusable by others, it has to be accompanied by and linked to information on the used protocols, SOPs and study design as well as the extracted results, evidence and conclusions of the primary data users, for whom the data was produced, as well as subsequent reusers. Therefore, the envisioned final solution is based on an information and knowledge ecosystem consisting of modules for study design documentation (e.g. instance maps approach), different electronic lab notebooks, data collection and curation interfaces, information search tools and laboratory information management systems (LIMS) combined with distributed storage and sharing resources (institutional repositories and specialised, domain-specific data warehouses) and FAIR enabling resources (unique, persistent identifiers, metadata schemas, ontologies, data transfer formats, indexing services).