EMS Annual Meeting Abstracts
Vol. 20, EMS2023-563, 2023, updated on 06 Jul 2023
https://doi.org/10.5194/ems2023-563
EMS Annual Meeting 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

FAIRness wizard: FAIR Micromet Portal FMP2.0

Branislava Lalic1, Michael Scriney2, Stevan Savic3, and Mark Roantree2
Branislava Lalic et al.
  • 1University of Novi Sad, Serbia, Faculty of Agriculture, Department for field and vegetable crops, Novi Sad, Serbia
  • 2Insight Centre for Data Analytics, School of Computing, Dublin City University, Ireland
  • 3Chair of Geoecology, Faculty of Sciences, University of Novi Sad, Serbia

The current state of weather-induced agricultural losses, water use for irrigation, the appearance of new invasive species and disease vectors (strongly depending on micrometeorological conditions), new environmental zoning of plant diseases and pests, deforestation, increased urbanization, rural-to-urban migration and increased urban energy consumption for cooling and heating impose scientific and societal demands for FAIR micrometeorological data.

 

It is important to remember the FAIR acronym for: Findability, Accessibility, Interoperability, and Reusability. This means that data and metadata should be easily discoverable by humans or machines, accessible under specific conditions or restrictions, conform to recognized formats and standards to be combined and exchanged, and licensed according to community norms, allowing users to know what kinds of reuse are permitted. While open data is the ultimate goal, it is important to have in mind that the FAIR concept implies open metadata only. Measurement results should be stored on a repository chosen by the data owner with a DOI and prefered licence, from closed to fully open with numerous options. More information can be found, for example at Open Data Commons (https://opendatacommons.org/licenses/).

 

Why?

The lack of FAIR data costs Europe a minimum of €10.2bn per year - approximately 78% of the Horizon 2020 budget per year (PwC EU Services, 2018). If data met the FAIR principle, it would improve data discovery and access, enable re-use, enhance understanding, especially across domains, reach as many people as possible, be cited more often, and open new routes to build cooperation.

How?

To support owners of micrometeorological data to make their data FAIR, the FAIR Micromet Portal (FMP2.0) was developed within the CA20108 COST Action. FMP2.0 is designed and built to guide owners through FAIR principles, in a step-by-step manner, to make large volumes of data FAIR compliant. More details about FMP2.0 and its functionalities can be found in Roantree et al. (2023).

Literature

PwC EU Services, 2018: The cost of not having FAIR research data. DOI 10.2777/02999

Roantree, M., Lalic, B., Savic, S., Milosevic, D., and Scriney, M., 2023: Constructing a Searchable Knowledge Repository for FAIR Climate Data, EGU General Assembly2023, Vienna, Austria, 24–28 Apr

2023, EGU23-7786. https://doi.org/10.5194/egusphere-egu23-7786, 2023.

How to cite: Lalic, B., Scriney, M., Savic, S., and Roantree, M.: FAIRness wizard: FAIR Micromet Portal FMP2.0, EMS Annual Meeting 2023, Bratislava, Slovakia, 4–8 Sep 2023, EMS2023-563, https://doi.org/10.5194/ems2023-563, 2023.

Supporting materials

Supporting material file