TY  -  
T1  - Quality Management Framework for Climate Datasets 
SN  -  /  
UR  - http://hdl.handle.net/10138/342592 
T3  - Data Science Journal 
A1  - Lacagnina, Carlo; Doblas-Reyes, Francisco; Larnicol, Gilles; Buontempo, Carlo; Obregón, André; Costa-Surós, Montserrat; San-Martín, Daniel; Bretonnière, Pierre-Antoine; Polade, Suraj D.; Romanova, Vanya; Putero, Davide; Serva, Federico; Llabrés-Brustenga, Alba; Pérez, Antonio; Cavaliere, Davide; Membrive, Olivier; Steger, Christian; Pérez-Zanón, Núria; Cristofanelli, Paolo; Madonna, Fabio; Rosoldi, Marco; Riihelä, Aku; Díez, Markel García 
A2  -  
PB  - Ubiquity Press, Ltd. 
Y1  - 2022 
LA  - en 
AB  - Data from a variety of research programmes are increasingly used by policy makers, researchers, and private sectors to make data-driven decisions related to climate change and variability. Climate services are emerging as the link to narrow the gap between climate science and downstream users. The Global Framework for Climate Services (GFCS) of the World Meteorological Organization (WMO) offers an umbrella for the development of climate services and has identified the quality assessment, along w... 
VO  - 21 
IS  - 1 
SP  -  
OP  -  
KW  - data quality; trust; FAIR; climate services; scalability 
N1  -   
PP  -  
ER  -