Metrology in the Digital Era
As the digital revolution accelerates, there is a growing question with regards to metrology: how can we guarantee measurement trueness and testability?
Here at F1000research, we endorse the FAIR Data Principles which aim to make research data Findable, Accessible, Interoperable, and Reusable. Together, these provide a framework to promote the broadest possible reuse of scientific data.
When metrology research meets these requirements, it is able to harness the opportunities brought by the digital revolution and bring about progress in all areas of society. Because of our endorsement of the FAIR Data Principles, F1000Research is home to plenty of examples of robust and rigorous research across all areas of metrology.
Take a look below for some of our highlights.
Parametric modelling of rainfall return periods in south-western Nigeria: Survival analysis approachREAD THE ARTICLE
Prediction of PM2.5 concentrations in Malaysia using machine learning techniques: a reviewREAD THE ARTICLE
Data: Use and Reuse
If World Metrology Day has left you feeling inspired, starting your publication journey with F1000Research couldn't be easier.
Thanks to our rapid publication model, your research is quickly available to read, share and cite. Once published, all articles undergo our unique post-publication peer review process that encourages a collaborative and constructive approach to research.