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Industrial ecology 2.0
Abstract Summary: Industrial ecology (IE) is an ambSummary: Industrial ecology (IE) is an ambitious field of study where we seek to understand systems using a wide perspective ranging from the scale of molecules to that of the planet. Achieving such a holistic view is challenging and requires collecting, processing, curating, and sharing immense amounts of data and knowledge. We are not capable of fully achieving this due to the current state of tools used in IE and current community practices. Although we deal with a vastly interconnected world, we are not so good at efficiently interconnecting what we learn about it. This is not a problem unique to IE, and other fields have begun to use tools supported by the World Wide Web to meet these challenges. We discuss these sets of tools and illustrate how community driven data collection, processing, curation, and sharing is allowing people to achieve more than ever before. In particular, we discuss standards that have been created to allow for interlinking of data dispersed across multiple Web sites. This is currently visible in the Linking Open Data initiative, which among others contains interlinked datasets from the U.S. and U.K. governments, biology databases, and Wikipedia. Since the types of technologies and standards involved are outside the normal scope of work by many industrial ecologists, we attempt to explain the relevance, implications, and benefits through a discussion of many real examples currently on the Web. From these, we discuss several best practices, which can be enabling factors for how IE and the community can more efficiently and effectively meet its ambitions-an agenda for Industrial Ecology 2.0.ions-an agenda for Industrial Ecology 2.0.
Added by wikilit team Added on initial load  +
Collected data time dimension N/A  +
Comments "Moving toward [Industrial Ecology] 2.0 is"Moving toward [Industrial Ecology] 2.0 is a socio-technical co-evolutionary process that can be shape and guided [through] five best practices, namely connect- ing the producers and consumers of data, facil- itating community discussion and discovery, us- ing machine-readable formats, utilizing shared vocabularies, and using open standards, open source, and open data." p. 723dards, open source, and open data." p. 723
Conclusion We then identified sev- eral promising techWe then identified sev- eral promising technologies, such as the use of human- andmachine-readable formats, the Link- ing Open Data initiative, and semantic wikis. Extracting the design aspects from these devel- opments, we argued that moving toward IE 2.0 is a socio-technical co-evolutionary process that can be shaped and guided. Toward this goal, we presented five best practices, namely connect- ing the producers and consumers of data, facil- itating community discussion and discovery, us- ing machine-readable formats, utilizing shared vocabularies, and using open standards, open source, and open data.pen standards, open source, and open data.
Data source N/A  +
Doi 10.1111/j.1530-9290.2010.00281.x +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22Industrial%2Becology%2B2.0%22  +
Has author Chris Davis + , Igor Nikolic + , Gerard P.J. Dijkema +
Has domain Geography + , Biology + , Economics + , Sociology +
Has topic Scholarly contribution + , Knowledge source for scholars and librarians +
Issue 5  +
Pages 707-726  +
Peer reviewed Yes  +
Publication type Journal article  +
Published in Journal of Industrial Ecology +
Research design Conceptual  +
Research questions Within this article, we will explore the iWithin this article, we will explore the impli- cations of using existing tools available on the Internet today, particularly those that are not actively in use by IE researchers, who may not be aware of their potential or even their exis- tence. To address this question, what will be dis- cussed goes beyond having a simple Web page with contact information, downloading an exe- cutable program to run some model exercises, or putting your papers on a preprint serverr putting your papers on a preprint server
Revid 10,823  +
Theories Undetermined
Theory type Analysis  +
Title Industrial ecology 2.0
Unit of analysis N/A  +
Url http://dx.doi.org/10.1111/j.1530-9290.2010.00281.x  +
Volume 14  +
Wikipedia coverage Case  +
Wikipedia data extraction N/A  +
Wikipedia language Not specified  +
Wikipedia page type N/A  +
Year 2010  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:28:59  +
Categories Scholarly contribution  + , Knowledge source for scholars and librarians  + , Geography  + , Biology  + , Economics  + , Sociology  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:28:54  +
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