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From local data to global knowledge:...

Young, Alyson Leigh.

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From local data to global knowledge: Understanding meta-study practice in Land Change Science.

Record Type:	Electronic resources : Monograph/item
Title/Author:	From local data to global knowledge: Understanding meta-study practice in Land Change Science./
Author:	Young, Alyson Leigh.
Description:	257 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-01(E), Section: A.
Contained By:	Dissertation Abstracts International77-01A(E).
Subject:	Information science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3721916
ISBN:	9781339037141

From local data to global knowledge: Understanding meta-study practice in Land Change Science.
Young, Alyson Leigh.

From local data to global knowledge: Understanding meta-study practice in Land Change Science. - 257 p.

Source: Dissertation Abstracts International, Volume: 77-01(E), Section: A.

Thesis (Ph.D.)--University of Maryland, Baltimore County, 2015.

Innovations in computational science are transforming traditional knowledge production practices across countless disciplines. New tools and techniques allow us to ask new, more complex questions about the world around us. At the same time, transformations in the sciences drive technological innovation. Increasingly, researchers are confronted with scientific challenges at such scale and complexity that single disciplinary perspectives are no longer adequate, requiring the expertise of multidisciplinary teams. This has given rise to a number of cyberinfrastructure projects designed to support novel practices and the communities that form around them.

ISBN: 9781339037141Subjects--Topical Terms:

554358
Information science.

From local data to global knowledge: Understanding meta-study practice in Land Change Science.
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245 1 0 $a From local data to global knowledge: Understanding meta-study practice in Land Change Science.
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500 $a Source: Dissertation Abstracts International, Volume: 77-01(E), Section: A.
500 $a Adviser: Wayne G. Lutters.
502 $a Thesis (Ph.D.)--University of Maryland, Baltimore County, 2015.
520 $a Innovations in computational science are transforming traditional knowledge production practices across countless disciplines. New tools and techniques allow us to ask new, more complex questions about the world around us. At the same time, transformations in the sciences drive technological innovation. Increasingly, researchers are confronted with scientific challenges at such scale and complexity that single disciplinary perspectives are no longer adequate, requiring the expertise of multidisciplinary teams. This has given rise to a number of cyberinfrastructure projects designed to support novel practices and the communities that form around them.
520 $a This dissertation presents an examination of technological transformation in the emergent interdiscipline of Land Change Science (LCS), specifically as it pertains to their adoption of meta-studies as a form of scientific knowledge production. The intent of this research was to understand the contemporary situation, in particular the sociotechnical systems at play in order to make informed decisions about the design of cyberinfrastructure tools to enhance meta-study practice in LCS. Using ethnographically informed methods, including observations, interviews, and document reviews, I uncovered characteristics commonly experienced in synthetic science (e.g., challenges of data reuse) and cross-disciplinary collaboration (e.g., epistemic tensions) as well as those unique to LCS. Particularly prominent findings were the power of geocontextualization for sensemaking in LCS and the innovations necessitated by the need to integrate vastly heterogeneous data. In highlighting the mutual constitution of practice and tools, this research extends our understanding of data sharing, reuse, and standardization, specifically within the context of radically multidisciplinary science. In the process it provides insights into the future of scientific practice and the challenges researchers will likely face as the gulf between disciplines widens. It also draws attention to the importance of community-specific sociotechnical system configuration in cyberinfrastructure design. I describe how these findings were iteratively instantiated in software designed specifically for LCS.
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