Both the research community and industry agree on the benefits of digitizing, collecting and open sharing research data. The development of common practices and operating models for data sharing at a global level is, in fact, known to improve the efficiency of the knowledge production processes, as well as unlock new perspectives for the commercial use of research data. Nevertheless, data management and sharing may entail costs, in terms of time and infrastructure implementation, that not all the researchers are willing to take over. We are currently addressing the issue of infrastructure implementation by developing an open source/open access platform in the framework of a national project called "V2P2repository", meant to preserve and make accessible non-homogeneous research data, such as images, logs and notes, produced in the field of plant-microorganism interactions. We would like to expand this repository prototype in order to openly share data about our collection of plant viruses. Started in the 1960s, it counts so far nearly 1000 isolates, strains or accessions available in the form of lyophilized leaves or as infectious clones. Most of these samples are also associated to unintegrated epidemiological records, pictures of symptoms and electron micrographs. The repository architecture will be based on open-source software frameworks: Fedora Commons and the Open Archives Initiative Protocol for Metadata Harvesting, as a storage backend, and Drupal CMS combined with Islandora, as a frontend. Relationships will be created following the AGROVOC ontology from FAO. Moreover, stakeholders from the research community and industry will be involved firstly in the customization of the consultation portals to address their different needs and key issues and, secondly, in the reliability tests of the infrastructure. Finally, our repository could represent an operating model that may encourage and facilitate researchers in the process of data ingesting and sharing.
Development of a new open source research infrastructure network for agricultural data sharing
Abbà S;Vallino M;Ciuffo M;Caciagli P;Birello G;Perin A;Bianco I;Finardi;
2014
Abstract
Both the research community and industry agree on the benefits of digitizing, collecting and open sharing research data. The development of common practices and operating models for data sharing at a global level is, in fact, known to improve the efficiency of the knowledge production processes, as well as unlock new perspectives for the commercial use of research data. Nevertheless, data management and sharing may entail costs, in terms of time and infrastructure implementation, that not all the researchers are willing to take over. We are currently addressing the issue of infrastructure implementation by developing an open source/open access platform in the framework of a national project called "V2P2repository", meant to preserve and make accessible non-homogeneous research data, such as images, logs and notes, produced in the field of plant-microorganism interactions. We would like to expand this repository prototype in order to openly share data about our collection of plant viruses. Started in the 1960s, it counts so far nearly 1000 isolates, strains or accessions available in the form of lyophilized leaves or as infectious clones. Most of these samples are also associated to unintegrated epidemiological records, pictures of symptoms and electron micrographs. The repository architecture will be based on open-source software frameworks: Fedora Commons and the Open Archives Initiative Protocol for Metadata Harvesting, as a storage backend, and Drupal CMS combined with Islandora, as a frontend. Relationships will be created following the AGROVOC ontology from FAO. Moreover, stakeholders from the research community and industry will be involved firstly in the customization of the consultation portals to address their different needs and key issues and, secondly, in the reliability tests of the infrastructure. Finally, our repository could represent an operating model that may encourage and facilitate researchers in the process of data ingesting and sharing.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
