Sentence examples for tools for data sharing from inspiring English sources

Advanced IT tools for data sharing, data mining, statistical modelling, and clinical decision support can not only prevent basic medical errors due to poor communication of information, they can help integrate and analyse complex data to clarify what test should be applied when, based on evidence rather than intuition or habit [ 36, 37].

The collaborative computing tools for data sharing are also fostering a new style of research.

The Little Skate Genome Project (http://skatebase.org/) serves as a demonstration project for performing relevant collaborative research across the five states, while simultaneously developing the tools for data sharing and analysis that make such research possible.

However, a number of barriers, both practical and cultural, continue to impede the widespread practice of data sharing; these include: lack of standard infrastructure and tools for data sharing, uncertainty about how to organize and prepare the data for sharing, and researchers' fears about unattributed data use or missed opportunities for publication.

However, the quantity of data available in noosphere, systems biology as a tool and new softwares for data sharing enable the investigation of interactions between xenoestrogens and other environmental stressors, such as radiation, and add new dimensions to the research of cancer aetiology using complexity as a new scientific philosophy.

Recently, mediation tools and peer-to-peer systems have allowed an important evolution for data sharing.

Due to its capability of providing flexible access control for data sharing between users, KP-ABE is gradually becoming an effective tool for secure data sharing in complex networks.

Sullivan for data sharing.

These include the development of data warehouses and ICT infrastructures for data sharing, the definition of standards for sharing phenotypic data and the implementation of novel tools to implement efficient search computing solutions.

These new tools are critical for creating data sharing incentives and rewards.

Key elements include harmonising the ethical and legal landscapes of data contributors, developing technological and organisational tools for secure data sharing and developing mechanisms for the recognition of data holders' contribution.