Chapter Twelve Building a Community Modelling and Information Sharing Culture

Abstract Free and open exchange of information in research endeavours is beneficial and can lead to much more rapid advances and important discoveries that might otherwise take much longer to achieve. Nevertheless, exchange of information is still restricted by patent law, as well as by institutional, cultural and traditional hurdles that create protective barriers hindering the free flow of this valuable commodity. By copying information from sources and distributing it to new destinations we do not lose information at the sources. Potentially we can only benefit from sharing information. The open-source paradigm provides an example of information sharing that can be readily applied to modelling. Collaborative, open source modelling still has limited application. There are cultural, traditional, institutional and bureaucratic reasons for this. The wide advent of Internet and web applications creates a new environment for information sharing that is likely to change the standards for academic success evaluation and promote a more collaborative and unified research field. We believe that one of the greatest challenges we face in creating a new open research paradigm will be building the community modelling and information sharing culture. How do we get engineers and scientists to put aside their traditional modes of doing business that discourage free and open exchange of data and ideas? How do we provide the incentives that will be required to make these changes happen? How do we get our colleagues to see that the benefits of sharing resources far outweigh the costs? We argue that timely sharing of data and information is not only in the best interest of the research community, but that it is also in the best interest of the scientist who is doing the sharing.

[1]  A. von Bubnoff The real death of print , 2005 .

[2]  Sunny L. Jardine,et al.  Ecological Economics , 2019, Industry, Innovation and Infrastructure.

[3]  Eric S. Raymond,et al.  Homesteading the Noosphere , 1998, First Monday.

[4]  Charles M. Schweik,et al.  Open source and open content: A framework for global collaboration in social-ecological research , 2005 .

[5]  R. Costanza,et al.  Watershed management and the Web , 1999 .

[6]  David Bollier,et al.  The Power of Openness , 1999 .

[7]  D. Butler Science in the web age: Joint efforts , 2005, Nature.

[8]  W. Powell,et al.  To Patent or Not: Faculty Decisions and Institutional Success at Technology Transfer , 2001 .

[9]  I. Tuomi Knowledge sharing and the idea of public domain , 2004 .

[10]  Fritjof Capra,et al.  The Tao of Physics , 1975 .

[11]  David Bollier,et al.  The Power of Openness Why Citizens, Education, Government and Business Should Care About the Coming Revolution in Open Source Code Software , 1999 .

[12]  KroghGeorg von,et al.  Open Source Software and the "Private-Collective" Innovation Model , 2003 .

[13]  Shaun Ryan,et al.  To patent or not to patent , 2001 .

[14]  Margaret E. I. Kipp,et al.  Software and seeds: Open source methods , 2005, First Monday.

[15]  R. W. Lucky,et al.  Free software [Reflections] , 1999 .

[16]  David A. Wheeler,et al.  Why Open Source Software / Free Software (OSS/FS, FLOSS, or FOSS)? Look at the Numbers! , 2005 .

[17]  Paul Kavanagh,et al.  The Open Source Definition , 2004 .

[18]  John Braithwaite,et al.  Information Feudalism: Who Owns the Knowledge Economy? , 2002 .

[19]  P Cohen,et al.  Joint efforts. , 1994, Nursing times.

[20]  Alexey Voinov,et al.  Teaching and Learning Ecological Modeling over the Web: a Collaborative Approach , 2002 .

[21]  Georg von Krogh,et al.  Open Source Software and the "Private-Collective" Innovation Model: Issues for Organization Science , 2003, Organ. Sci..

[22]  E. Raymond A Brief History of Hackerdom , 2004 .