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In the big data era, the scientific community is in need of better practices and infrastructures for data deposition and sharing. In addition, scientific journals are challenged with formulating, implementing, and enforcing commonly accepted data deposition guidelines and addressing problems associated with the use of proprietary data. Furthermore, new publication formats are required to specifically focus on data, their organization, and related issues and raise awareness of data heterogeneity and complexity. Such types of publications should also present a forum for evaluating and discussing specifics of data upon which follow-up investigations are based. Data articles/notes introduced by  F1000Research  represent an important step in the right direction.

On data sharing in computational drug discovery and the need for data notes