Along with the many opportunities, data-intensive science will also bring complex challenges. Many scientists are concerned that the data deluge will make it increasingly difficult to find data of relevance and to understand the context of shared data. Today, it is difficult for a person even to track and maintain their own health records. Now envision the magnitude, diversity and dispersed nature of data generated by life sciences, genetics and bioinformatics over the next 10 years. The management of data presents increasingly difficult issues. How do international, multidisciplinary and often competitive groups of researchers address challenges related to data curation, the creation and use of metadata, ontologies and semantics, and still conform to the principles of security, privacy and data integrity? Given that government organisations and commercial corporations struggle with these issues already, imagine the challenges that a loosely connected community of researchers will face.
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