Open Source Science
Definition
Beth Ritter-Guth:
"“Open Source Science” refers to the sharing of all data, including failed experiments, and is likened to “open source” code in computing." (http://bethritterguth.wikispaces.com/rpp)
Discussion
Related terms
Beth Ritter-Guth:
"Open Source Science, Open Data, Open Standards, and Open Access Science generally refer to the same principle; it indicates the publication of data for free use and distribution via the web using wikis, blogs, chemical docking programs, or other RSS technology.
Historically, this same data has only been available, in parts, through traditional peer review journals. ODOSOS is one acronym used to define "Open Data, Open Source, Open Standards" (Murray-Rust). However, there is legitimate discussion about what constitutes “Open Source” as compared to “Open Standards” and “Open Data.”
Open Access, for example, refers to the publication of "final" data or articles, and is not, inherently, about the sharing of collaborative data although there is a place for that to exist within OA (BOAI).
“Open Source Science” refers to the sharing of all data, including failed experiments, and is likened to “open source” code in computing. It includes both the process and the resulting data. As such, it communicates the "thinking behind the chemistry" - a practice not embraced by traditional methods (Bradley).
“Open Data” is similar to Open Source Science in the philosophy of sharing, but differs because it does not include the publication of failed data or experiments, and shares, instead, successful processes and data. In short, "open data" refers to data "which we can attach a CC [Creative Commons] or similar license" (Murray-Rust).
Finally, “Open Standards” refers to the sharing of the processes by which data is shared." (http://bethritterguth.wikispaces.com/rpp)