The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Biomedical research has become more computational and approaches now typically rely on the collaboration between laboratory researchers and bioinformaticians. Large biomedical datasets already exist and that creates the need for efficient data analysis that will facilitate the process of generating new insights for developing treatments for rare diseases such as Huntington's Disease. In this paper...
The Italian Space Agency's Science Data Center (ASDC) developed and operates a digital repository of all the publications authored or co-authored by its staff. This archive is available to all web users from the Center main website: www.asdc.asi.it. It contains scientific and technical papers, related to ASI space missions or specific projects, or simply produced in collaboration with colleagues from...
We present a negotiation protocol based on contract law to enable agile and reliable e-Science collaboration. It is designed to be compatible with existing models of resource sharing, but focuses on forming and dissolving collaborations in a lightweight and dynamic manner. It allows the collaboration within the resource users to be separated from the interaction with resource providers, arguing that...
Collaboration is ubiquitous in today's science, yet there is limited support for coordinating scientific work. The general-purpose tools that are typically used (e.g., email, shared document editing, social coding sites), have still not replaced in-person meetings, phone calls, and extensive emails needed to coordinate and track collaborative activities. Scientists with diverse knowledge and skills...
We present dispel4py a versatile data-intensive kit presented as a standard Python library. It empowers scientists to experiment and test ideas using their familiar rapid-prototyping environment. It delivers mappings to diverse computing infrastructures, including cloud technologies, HPC architectures and specialised data-intensive machines, to move seamlessly into production with large-scale data...
In scientific scenario, there is an increasing collaboration among research groups, which leads to the growth in the use of information processing techniques, and the creation of new experiments as well as the sharing of their results. In this article, we present an architecture named e-ScienceNet, that creates an access point to distributed scientific applications, where scientists can work with...
Scientific workflows are used for dealing with complex problems in different e-science domains. These workflows are modeled and executed using Scientific Workflow Management Systems (SWfMSs). Generally, SWfMSs provide their own Workflow Specification Language (WfSL), and this is a challenge considering the possibility of interchanging workflow specifications between different SWfMSs. Nevertheless,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.