![]() For example, the National Institutes of Health (NIH) of USA requires data sharing for NIH funded projects of $500,000 or more in direct costs in any one year. As a result, data sharing is often required by scientific funding agencies to share the data produced in grant projects. Data sharing is becoming critical for validating approaches and ensuring that future research can build on previous efforts and discoveries. With increased complexity of scientific problems, biomedical research is increasingly a collaborative effort across multiple institutions and disciplines. SciPort is lightweight and can be easily deployed for building data sharing communities. To enable semantic consistency, SciPort provides semantic tagging through controlled vocabularies. To enable consistency, SciPort provides collaborative distributed schema management across distributed sites. To enable convenient data sharing, SciPort provides a central server based data sharing architecture with a one-click data sharing from a local server. ![]() SciPort provides a generic metadata model to flexibly customise and organise the data. SciPort is a web-based collaborative biomedical data sharing platform to support data sharing across distributed organisations. However, there are many hurdles for data sharing, including the unwillingness to share, lack of flexible data model for providing context information, difficulty to share syntactically and semantically consistent data across distributed institutions, and high cost to provide tools to share the data. ![]() Biomedical research data sharing is becoming increasingly important for researchers to reuse experiments, pool expertise and validate approaches. ![]()
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