20 June, 2019

Assante, M., Candela, L., Castelli, D., Coro, G., Mangiacrapa, F., Pagano, P., Perciante, C. (2018).Enacting Open Science by gCube.

27 December, 2018

Ballis, A., Boizet, A., Candela, L., Castelli, D., Fernández, E., Filter, M., Günter, T., Kakaletris G., Karampiperis, P., Katris, D., Knapen, R., Lokers, R., Penev, L., Sipos, G., Zervas, P. (2018). Serving Scientists in Agri-Food Area by Virtual Research Environments

10 December, 2018

de Alba Aparicio, Μ., Buschhardt, Β., Swaid, Α., Valentin, L., Mesa-Varona, O., Günther, T., Plaza-Rodriguez, C., Filter, M. (2018). FSK-Lab – An open source food safety model integration tool

29 October, 2018

Caracciolo, C. , Aubin, S. , Whitehead, B. , Zervas, P. (2018). Semantics for Data in Agriculture: A Community-Based Wish List

3 October, 2018

Assante M., Candela L., Castelli D., Cirillo R., Coro G., Frosini L., Lelii L., Mangiacrapa F., Marioli V., Pagano P., Panichi G., Perciante C., Sinibaldi F. (2018). The gCube system: delivering virtual research environments as-a-service

3 July, 2018

Karampiperis, P., Lokers, R., Neveu, P., Hologne, O., Kakaletris, G., Candela, L., Filter, M., Manouselis, N., Stavrakaki, M., Zervas, P. (2018). Big Data in Agricultural and Food Research: Challenges and Opportunities of an integrated Big Data e-Infrastructure.

14 June, 2018

Haberbeck, L. U., Rodríguez, C. P., Desvignes, V., Dalgaard, P., Sanaa, M., Guillier, L., Nautaa, M. & Filter, M. (2018). Harmonized terms, concepts and metadata for microbiological risk assessment models: the basis for knowledge integration and exchange. Microbial Risk Analysis.


The selected AGINFRA+ Use Cases will illustrate the benefits of applying the Science as a Service approach to pressing research questions from the corresponding research communities.


This community focuses on use cases aim to support the workflow of researchers, intermediaries and business analysts working on crop modelling, crop phenology estimation and yield forecasting, as well as related activities in the area of policy and decision support in food security, farm management advice and related activities.



This community focuses on use cases to support scientists in the multidisciplinary field of risk assessment and emerging risk identification as there is currently a strong need to create new technology-supported solutions that facilitate the knowledge integration processes relevant for these tasks.



This community focuses on use cases related to the high-throughput phenotyping large amount of data which need to be analyzed immediately for decision making. This aims to support phenomics researchers to select plant species and varieties which are the most adapted to specific environments and to global changes.


subscribe to our newsletter

stay updated!