The following Infrastructure Gateways serve a number of Research Communities, Initiatives, and Projects, each of which having a specific scientific domain and dedicated Virtual Labs for Data-Driven Research
HDN Gateway, 1 VRE / VLab Based on the Semantic Web standards for building digital libraries, the Hypermedia Dante Network (HDN) project aims to establish a collaborative environment for a commentary of Dante’s works, with due attention paid to issues of language, style and intertextuality. Using reliable primary sources, the HDN aims at creating a digital library that will cater to a broad range of sophisticated queries, thanks to the use of ontology-based resource descriptions that allow reusing knowledge about existing resources. Indeed, ontologies are efficient means to represent scholarly knowledge about literary texts by using Semantic Web languages such as the Resource Description Framework (RDF). Primarily intended for scholarly use, the HDN will provide a digital tool that allows the users to access and explore the knowledge collected within the project. This tool will have a user friendly interface and it will be usable for educational purposes. To efficiently express knowledge about the authors cited or referred to in the text of Dante's works, the HDN digital library relies on previous, similar ontology-based applications such as DanteSources, which collects knowledge about Dante’s minor works.
I-GENE Gateway, 2 VREs / VLabs The I-GENE (In-vivo Gene Editing by NanotransducErs) project pushes the boundaries of efficient and reliable ways to make precise, targeted changes to the genome of living cells that is the long-standing and main goal of gene therapy and biomedical researchers. The I-GENE Gateway and its VREs are a ready to use web-based working environments specifically conceived to provide the I-GENE worldwide community with the needed facilities (services, data, capacity), in line with the FAIR (Findable, Accessible, Interoperable, Re-usable) principles. The VREs provide an environment to foster large-scale collaborations where many potentially geographically distributed co-workers can access and process large amounts of data, also by promoting the public debate to support the design of a new strategy/technology for genome editing, ethically acceptable, sustainable and society desirable.