Open source science: Difference between revisions

Revision as of 15:24, 10 May 2012

Open source science is science accomplished using an open source methodology.

Open source science includes ^[1]:

Transparency in experimental methodology, observation, and collection of data (e.g. MOST methods)
Public availability and reusability of that scientific data (e.g. the OSOTF)
Public accessibility and transparency of scientific communication.
Using web-based tools to facilitate scientific collaboration.
Using and developing scientific or engineering open source software and open source hardware for use in doing science

Open source scientific software

Organized by discipline ... gallery with screen shot and link Use Open source engineering software to start but looking primarily for things like: http://www.openscience.org/blog/?page_id=44

Open source scientific hardware

Organized by discipline ...gallery with picture and link

Open access scientific repositories

List - with link and brief description

Open scientific collaboration

List - with link and brief description

http://www.theopensourcescienceproject.com/

Crowd sourced scientific funding

List - with link and brief description

http://www.petridish.org/

Open access scientific journals

get relevant list and paste from Journals

Open source science literature

Eric von Hippel and Georg von Krogh, (2003), “Open Source Software and the "Private-Collective: Issues for Organization Science", Organization Science, 14, no. 2, pages 209-223, doi:10.2307/4135161.

Josh Lerner and Jean Tirole, (2002), "Some Simple Economics of Open Source", The Journal of Industrial Economics, Volume 50, no. 2, pages 197-234, DOI: 10.1111/1467-6451.00174

Steve Weber, (2004), The Success of Open Source (hardcover), Harvard University Press, 312 pages

References

↑ The first four points were adapted from Dan Gezelter "What, exactly, is Open Science?", Posted on July 28, 2009 at http://www.openscience.org/blog/?p=269

[1] The first four points were adapted from Dan Gezelter "What, exactly, is Open Science?", Posted on July 28, 2009 at http://www.openscience.org/blog/?p=269

[1]

@@ Line 49: / Line 49: @@
 '''Eric von Hippel and Georg von Krogh, (2003), “[http://www.jstor.org/stable/4135161 Open Source Software and the "Private-Collective: Issues for Organization Science]", ''Organization Science'', 14, no. 2, pages 209-223, doi:10.2307/4135161.'''
-*Abstract
-Currently, two models of innovation are prevalent in organization science. The "private investment" model assumes returns to the innovator result from private goods and efficient regimes of intellectual property protection. The "collective action" model assumes that under conditions of market failure, innovator collaborate in order to producea public good. The phenomenon of open source softwared evelopment shows that users program to solve their own as well as shared technical problems, and freely reveal their innovations without appropriating private returns from selling the software. In this paper we propose that open source software development is an exemplar of a compound "private-collective" model of innovation that contains elements of both the private investment and the collective action models and can offer society the "best of both worlds" under many conditions. We describe
-a new set of research questions this model raises for scholars in organization science. We offer some details regarding the types of data available for open source projects in order to ease access for researchers who are unfamiliar with these, and also offer some advice on conducting empirical studies on opens ource softwar deevelopment processes.
 '''Josh Lerner and Jean Tirole, (2002), "[http://onlinelibrary.wiley.com/doi/10.1111/1467-6451.00174/abstract Some Simple Economics of Open Source]", ''The Journal of Industrial Economics'', Volume 50, no. 2, pages 197-234, DOI: 10.1111/1467-6451.00174'''
-*Abstract
-There has been a recent surge of interest in open source software development, which involves developers at many different locations and organizations sharing code to develop and refine programs. To an economist, the behavior of individual programmers and commercial companies engaged in open source projects is initially startling. This paper makes a preliminary exploration of the economics of open source software. We highlight the extent to which labor economics, especially the literature on ‘career concerns’, and industrial organization theory can explain many of these projects’ features. We conclude by listing interesting research questions related to open source software.
 '''Steve Weber, (2004), The Success of Open Source (hardcover), Harvard University Press, 312 pages'''
-Table of Contents:
-Preface
-<br />1. Property and the Problem of Software
-<br />2. The Early History of Open Source
-<br />3. What Is Open Source and How Does It Work?
-<br />4. A Maturing Model of Production
-<br />5. Explaining Open Source: Microfoundations
-<br />6. Explaining Open Source: Macro-Organization
-<br />7. Business Models and the Law
-<br />8. The Code That Changed the World?
-Notes
-Index