Research Data Management in Metrology
Welcome to the central information portal for Research Data Management in Metrology!
This website contains tools and materials to support good research data management in metrology. Its content is selected to help researchers and metrology professionals to conform to the regulations by the funders and stakeholders while following the FAIR principles of data management. It should also help researchers from other disciplines to bring the metrological principles of traceability and reproducibility into the management of their research data.
This website contains the following pages:
- A knowledge base containing basic knowledge about research data management in metrology. [Possibly via GitLab-Wiki]
- A collection of useful material helping to perform selected data-related tasks within a research activity: guidelines, checklists, sample texts, use case reports, recommendations.
- An application to write data management plans, RDMO.
- A list of incoming events related to research data management.
Motivation
RDM --> Metrology
Like each discipline, metrological research is subject to regulations by the host institutions, by the discipline community and by the research funders.
All research groups manage their data according to own habits. Yet there is a growing pressure to improve and harmonise this practice, in order to forster the exchange of information and the reuse of data also outside their original context.
The primary aim of our initiative is to offer support to metrology researchers in performing the main RDM tasks (planning, organisation and documentation, storage/archiving/publication).
Metrology --> RDM
"Metrology is the science of measurement, embracing both experimental and theoretical determinations at any level of uncertainty in any field of science and technology" – BIPM
- Establishes a common understanding of measurement quantities and units
- Ensures stable, comparable, coherent and traceable measurement results
- Provides confidence in measurement at a stated level (usually described by a measurement uncertainty)
The regulations and standards defined by metrology guarantee a high quality, traceability and trustfulness of measurements and their results.
Besides that, metrology provides precise instructions for the reporting of numerical information which guarantee their univocal interpretability by humans and machines.
We see a part of our mission to diffuse this knowledge within ongoing initiatives on reaearch data management, to contribute to the definition of good practices.
Knowledge base
A knowledge base containing basic knowledge about research data management in metrology.
Materials collection
A collection of useful material helping to perform selected data-related tasks within a research activity: guidelines, checklists, sample texts, use case reports, recommendations.
Data management plans
A short presentation of a useful application to write data management plans, the Research Data Management Organiser (RDMO).
Incoming events
A calender of incoming events around research data management.
Metadata
Recommendations around metadata for description of research data
Data and software quality
Some material concerning data quality, including the Quality Assurance Tools developed by the European Metrology Network for Mathematics and Statistics (Mathmet) https://www.euramet.org/european-metrology-networks/mathmet/activities/quality-assurance-tools