open science: open data

As defined by the Open Knowledge Foundation, “a piece of data or content is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and/or share-alike.” Open data advocates believe that data gathered during scientific inquiry should be made available for scrutiny and reuse by other researchers. However, the current system works against open data in several ways. There are barriers on all sides: publishers may have licensing restrictions; data may be inaccessible or in a proprietary format; and researchers themselves may be reluctant to give up control. Nonetheless, despite these obstacles, the open data movement is growing.

The Panton Principles, launched in 2010 by the Open Knowledge Foundation Working Group on Open Data in Science, are an attempt to facilitate the widespread adoption of open data. In brief, these principles state that publishers should make their wishes explicit regarding the reuse and repurposing of some or all of the data by way of a legal statement. This legal statement should be appropriate for use with data; the Panton Principles website lists waivers and licenses that are appropriate for data as well as those are not. In declaring data available for reuse by others, the Principles state that publishers should use the definition of “open” as defined by the Open Knowledge Foundation. And finally, publishers should dedicate data to the public domain in conformance with the Science Commons and OKF guidelines.

Read more:



Open Knowledge Foundation. “Open definition.” Web. Retrieved June 13, 2013 from

Panton Principles. “Principles for open data in science. ” Web. Retrieved June 1, 2013 from


6 thoughts on “open science: open data

  1. Pingback: open science | minimum in cursive

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