What is it about?
Data licenses are going to become increasingly important in science in the future, especially as we see more scientists embracing open notebook science, open science, and open-access publishing, and funding bodies promoting the increased accessibility of the fruits of their funding. We propose simple rules for developing data licensing approaches inside scientific projects.
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Why is it important?
We have formulated four simple rules to license data for open drug discovery represent a proposed starting point for consideration by database producers. These licenses could equally be used by individual scientists on their blogs and other online environments or accounts in which they make their data and models available for others.
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This page is a summary of: Why Open Drug Discovery Needs Four Simple Rules for Licensing Data and Models, PLoS Computational Biology, September 2012, PLOS,
DOI: 10.1371/journal.pcbi.1002706.
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Supplemental information
Supplemental information for the article: "Why Open Drug Discovery Needs Four Simple Rules for Licensing Data and Models"
A book from a Panton Fellow "Introduction to Open Research Data"
Entitled Introduction to Open Research Data, the book explores both the practical and theoretical issues associated with Open Data from a range of general and disciplinary viewpoints. The book will be Open Access, available in various ebook formats and low-cost print editions, and remixing will be encouraged – particularly the subject-specific guidance, which disciplinary communities can build upon as a foundation for a collection of resources on Open Data. - our article will be included.
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