Anastasios (Tassos) Papadiamantis, PhD, MSc. has a BSc in Physics from the Department of Physics with specialisation in Atomic-Molecular Physics & LASERs, an Interdisciplinary MSc in Optics and Vision from the Departments of Medicine, Physics, Materials Science, and Mathematics of the University of Crete, and PhD from the University of Birmingham on studying natural and synthetic pristine and complex calcium phosphate biomaterials. Tassos has expertise in the experimental and computational design, characterisation, and refinement of pristine and doped materials with custom properties. Tassos has been part, including the management, of various EU and nationally funded projects and EU Institutions tenders focussing on data management, advanced analysis, and predictive modelling (ML) in the fields of nano and advanced materials and chemicals, their properties, behaviour, risk and hazard assessment, and fate. Tassos is a certified FAIR Data Facilitator by the GoFAIR Foundation and is actively promoting Findable, Accessible, Interoperable, and Re-usable (meta)data to help harmonise data from diverse sources and promote wider and multidisciplinary collaboration and continuity. As a data steward and data shepherd, Tassos has been working on the FAIRification of data management plans and in introducing tools for the implementation of the FAIR data principles in everyday experimental and computational research. Tassos has authored and co-authored several peer-reviewed publications in diverse fields and has led the reporting on numerous scientific projects and tenders.
OpenTox Summer School 2024
FAIR Data Management
In the evolving landscape of scientific research and continuously increasing data production volumes, effective data management is key to enhancing the transparency, reproducibility, and collaborative potential of scientific projects. The FAIR (Findable, Accessible, Interoperable, Reusable) principles provide a robust framework to ensure that data meets these essential criteria. This workshop aims to equip all stakeholders, i.e., researchers, data stewards, information professionals, regulators, with the knowledge and skills to implement FAIR data management practices effectively in every day scientific research and decision making.
Participants will be informed on the core components of the FAIR principles and respective interpretations from the GoFAIR Foundation, beginning with strategies to make data findable, including the use of rich metadata, persistent identifiers, and searchable repositories. We will explore the importance of data accessibility, addressing challenges related to data sharing, privacy, and the use of open-access platforms. Interoperability, a prerequisite for enabling data reusability across diverse systems and disciplines, will be examined through the lens of protocols, file formats, and the use of ontologies.
Moreover, the workshop will provide demonstrations and hands on training on the use of tools to make (meta)data FAIR and maximise the impact potential of research data. Attendees will work with the FIP Wizard to develop machine actionable metadata templates for datasets, to increase their FAIRness, which can act as documentation to support the long-term utility of datasets, as well as with Electronic Laboratory Notebooks to digitise their data and metadata as they are being produced. In this way, participants will gain experience in using tools and resources that support the FAIR principles, such as data management plans, FAIR assessment tools, and metadata standards.