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Explore Virtual Research Environments of the D4Science.org Gateway

D4Science.org is an organisation offering a Data Infrastructure service and a number (+100) of Virtual Research Environments (VREs).  To serve the biological, ecological, environmental, social mining, culture heritage, and statistical communities world-wide; VREs connect +5,500 scientists in +50 countries.

To that end, D4Science Data Infrastructure integrates +50 heterogeneous data providers, and + 500 software components that execute +55,000 models & algorithms/month and provide access to over a billion quality records in repositories worldwide, with 99,8% service availability. The D4Science infrastructure drastically reduces the cost of ownership, maintenance, and operation thanks to the exploitation of gCube and CKAN.

D4Science is operated by a team of professionals and researchers having as main objective the maintenance, the updating, the operation and the support for users of the infrastructure itself. 

>> Meet The D4Science Team.

Virtual Research Environments (VREs) 

VREs are innovative, web-based, community-oriented, comprehensive, flexible, and secure working environments conceived to serve the needs of modern science. Regardless of geographical location, via VREs, researchers are able to use their Web browsers to seamlessly access data, software, and process resources that are managed by diverse systems in separate administration domains.

Each VRE enables services and data exploitation to the users authorized to access the VRE. VREs' members have an individual account (SIGN IN D4Science) that allow them to save, edit, search and export their own bibliographic records. 

>> Learn more about VREs from:

Candela, L., Castelli, D. and Pagano, P., 2013. Virtual Research Environments: An Overview and a Research Agenda. Data Science Journal, 12, pp.GRDI75–GRDI81. DOI: http://doi.org/10.2481/dsj.GRDI-013

One of the following VRE access policies can be selected at any time during the operation of the VRE:

  • Private access;
  • Restricted access;
  • Public access.

Five different roles are supported by default and additional ones can be defined as per request of the Customer:

  • VRE Manager role;
  • Editor role;
  • Authority File Editor role;
  • Advanced role;
  • User role.

>> You can EXPLORE all D4Science VREs by clicking HERE. 

D4Science.org INFRASTRUCTURE CAPACITY

As an infrastructure, D4Science offers a rich array of services to its end users directly or to Infrastructure Managers and Service Providers:

  • Research Data Sharing;
  • Data Hosting;
  • Services Monitoring;
  • Software Dynamic Deployment;
  • Resources Accounting;
  • Services Monitoring;
  • Data Hosting;
  • Mastering Resource Lifecycle;
  • Research Data Curation;
  • Controlled Sharing and Security;
  • Data Analytics at Scale,

among others. 

>> Learn more about D4Science Infrustructure Capacity by clicking HERE.

DATA & OTHER RESOURCES HOSTED by the D4SCIENCE.ORG

The D4Science Resource Catalogue contains a wealth of resources resulting from several activities, projects and communities including:

among others.

Resources hosted by the D4Science.Org are accompanied with...

... rich descriptions/metadata capturing general attributes, e.g. title and creator(s), as well as usage policies and licences.

When any user uses a service to load content into a VRE, the user retains the irrevocable, exclusive, worldwide right and license to use, reproduce, modify, display, remix, re-distribute, create derivative works, and syndicate your content in any medium and through any service.

Only where the user has specifically shared, or used a specialized service for sharing data, the data become part of a derivative work to be licensed under a schema selected by the owner.

Each shared set of data is associated to a copyright license. A CC BY-SA license - if the dataset is obtained with a mash-up process from different sources (a true derivative product), any other license (not technically supported by D4Science.org) in case of unaltered product shared with other Users/VREs. In both cases the metadata must be filled (if not automatically compiled) and a preferred citation must be indicated. 

Every dataset should include in its metadata at least a preferred citation, a reference to the infrastructure source dataset and its generation date, and the date that data were accessed or retrieved from the Gateway or any of its services. If the dataset was a composition of multiple datasets with different citations, the owner of the dataset should have added that to the relevant metadata. 

>> You can SEARCH in Resource Catalogue for Items and/or BROWSE by Organisations, Groups and Types HERE. 

For more details about D4Science Infrastructure, please contact the D4Science Team. 

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