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Abstract

Emerging as a discipline in the first half of the twentieth century, the information sciences study how people, groups, organizations, and governments create, share, disseminate, manage, search, access, evaluate, and protect information, as well as how different technologies and policies can facilitate and constrain these activities. Given the broad span of the information sciences, it is perhaps not surprising that there is no consensus regarding its underlying theory the purposes of it, the types of it, or how one goes about developing new theories to talk about new research questions. Diane H. Sonnenwald and the contributors to this volume seek to shed light on these issues by sharing reflections on the theory-development process. These reflections are not meant to revolve around data collection and analysis; rather, they focus on the struggles, challenges, successes, and excitement of developing theories. The particular theories that the contributors explore in their essays range widely, from theories of literacy and reading to theories of design and digital search. Several chapters engage with theories of the behavior of individuals and groups; some deal with processes of evaluation; others reflect on questions of design; and the rest treat cultural and scientific heritage. The ultimate goal, Sonnenwald writes in her introduction, is to "encourage, inspire, and assist individuals striving to develop and/or teach theory development.""

Date

26. 6.2017 12:53:34

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Date

26. 2.2008 16:01:52

Footnote

Rez. in: Knowledge organization 26(1999) no.2, S.104-105 (M. Dowding)

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Date

26. 7.2002 14:08:34

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Date

26. 7.2002 13:23:28

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Footnote

Rez. in: JASIST. 58(2007) no.4, S.606-607 (L.E. Harris): "Spanning is not a methodological "how-to"; rather it is a "how-tothink" book, intended for academicians and practitioners, on developing useful theory. Each chapter opens with a brief scenario, generally derived from Crowley's extensive personal experience as a librarian, university professor, and consultant, exemplifying the theme for that chapter. In chapter one, "Theorizing for Diverging Contexts: Why Research Results and Theory Development are So Little Used Outside the Campus," Crowley describes a doctoral candidate's experience in presenting her research at a national conference of working professionals. When the presentation is negatively received, the student's mentor rationalized the response by stating, "You have to remember, most of the people in the audience only have a master's degree" (p. 2). From this example, a cogent argument is distilled on how pervasive the theorypractice divide is in various academic domains, such as business, law, sociology, and LIS. What is useful research and theory for academicians seeking career and professional advancement does not translate into for practitioners engaged in specific institutional/organizational environments. Cultural pragmatism is introduced as an aid to researchers in both camps for its inclusion of context specificity and the need for testing a theory's usefulness through continually analyzed experience. Herein, the structural foundation for the bridge is constructed in the section on communication. The development of an interlanguage between academicians and practitioners will minimize incommensurability, "the perceived inability of humans to communicate effectively with one another due to a lack of common standards for meaning and other shared foundations" (p. 15). In this vein, Crowley presents five maxims, based on the works of John Stuart Mill, for developing useful, real world theory. The chapter ends, as do several others, addressing the divide specifically in the LIS domain. One of the most thought-provoking chapters is "Developing a Research Philosophy," which includes sections on inductive reasoning, how people really think, and a discussion of the battle between intellectual formations and internalized models. As a teacher of experienced and/or mature students in an LIS program, I instantly recognized the description of a reoccurring classroom event: what happens when introducing theory or research results that contradict students' experiences, and therefore, their internalized models of "how things really work in the field." Crowley suggests that in seeking a research philosophy, persuasion should not be a primary concern. This simple suggestion encouraged me to reconsider my posture when faced with this classroom issue. However, this chapter may be considered one of the weakest in the book, because of its rather slim treatment of considerations for selecting a useful research philosophy, despite the emphasis on the importance of the concept. Nevertheless, this chapter is foundational to the work presented in the remaining chapters.
In "The Revival of Pragmatism," the distinction between theory (how things work) and paradigm (how we look at the world) forms the basis for the exposition on competing paradigms. From Kuhn's traditional scientific paradigm (empiricism) to classical pragmatism, to the variants of modernism, specifically critical theory and feminism, the ability of cultural pragmatism to bridge the divide is promoted. The twelve core assertions and the role of religious beliefs in the creation of classical pragmatism are surely the stuff of which debates are made. While I was readily able to accept the first ten assertions, the eleventh ("Humans have the most opportunity to develop their capabilities in a democracy.") and twelfth ("Scientific and other knowledge progresses best in a democratic context that encourages freedom of inquiry.") certainly gave me pause (p. 60). Even Crowley admits, later in the text, that these two assertions may not be verifiable and indeed may conflict with the principle of freedom in research. In defining the applicability of cultural pragmatism to bridging the theory-practice gap, Crowley relates John Dewey's desire to rename his Experience and Nature to read Culture and Nature as a tribute to the power of readers' ability to understand the meaning of culture versus experience. Drawing on the work of Charles Sanders Peirce, cultural pragmatism treats "truth" as agreed-upon opinion, which is therefore continually tested and revised. The concepts of interlanguage and incommensurability are revisited, as they apply to the need to transcend cultural norms and create cross-cultural understandings. The increased complexity of modern work, partially related to the pervasiveness of technology, is established as an obvious factor. As a result, the validity and reliability of generalizing in a global environment is called into question. Cultural pragmatism does not demand an adherence to an objective reality. "For pragmatism, cultural complexity can be an intellectual positive, offering a seemingly endless source of remarkably interesting research questions" (p. 82). This chapter is highly recommended for LIS professionals interested in a brief yet coherent overview of the prevailing paradigms discussed and utilized in the field, as well as those who like to stir up lively discussions. A description of how the Maryland Division of Library Developments improved reference service by turning tacit knowledge into explicit knowledge opens the next chapter, "Tacit Knowledge: Bridging the Theory-Practice Divide." This example illustrates concretely the impact of an interlanguage on communication effectiveness within a library setting and as part of a research project. The role of time in the transformation of tacit into explicit knowledge, however, is apparent yet not fully explored. In this chapter, Crowley directly addresses the "how-to-think" issues and the role of a research philosophy as structural components of the bridge. Tacit knowledge becomes an integral component which researchers must recognize if they are to construct useful research and theory. The discussion of Georg Simmel's stranger as an analytical tool, however, seemed out of place.

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Classification

327.12 22

DDC

327.12 22

Footnote

Rez. in: JASIST 58(2007) no.2, S.303-305 (L. Hayden): "Part history and part call to action, Covert and Overt examines the relationship between the disciplines of intelligence service and information science. The book is significant in that it captures both the rich history of partnership between the fields, and because it demonstrates clearly the incomplete nature of our understanding of that partnership. In the post-9/11 world, such understanding is increasingly important, as we struggle with the problem of transforming information into intelligence and intelligence into effective policy. Information science has an important role to play in meeting these challenges, but the sometimesambiguous nature of the field combined with similar uncertainties over what constitutes intelligence, makes any attempt at definitive answers problematic. The book is a collection of works from different contributors, in the words of one editor "not so much a created work as an aggregation" (p. 1). More than just an edited collection of papers, the book draws from the personal experiences of several prominent information scientists who also served as intelligence professionals from World War II onward. The result is a book that feels very personal and at times impassioned. The contributors attempt to shed light on an often-closed community of practice, a discipline that depends simultaneously on access to information and on secrecy. Intelligence, like information science, is also a discipline that finds itself increasingly attracted to and dependent upon technology, and an underlying question of the book is where and how technology benefits intelligence (as opposed to only masking more fundamental problems of process and analysis and providing little or no actual value).

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Content

Section 1 Context and purpose of knowledge architecture -- 1 Making the case for knowledge architecture -- 2 The landscape of knowledge assets -- 3 Knowledge architecture and design -- 4 Knowledge architecture reference model -- 5 Knowledge architecture segments -- Section 2 Designing for availability -- 6 Knowledge object modeling -- 7 Knowledge structures for encoding, formatting, and packaging -- 8 Functional architecture for identification and distinction -- 9 Functional architectures for knowledge asset disposition and destruction -- 10 Functional architecture designs for knowledge preservation and conservation -- Section 3 Designing for accessibility -- 11 Functional architectures for knowledge seeking and discovery -- 12 Functional architecture for knowledge search -- 13 Functional architecture for knowledge categorization -- 14 Functional architectures for indexing and keywording -- 15 Functional architecture for knowledge semantics -- 16 Functional architecture for knowledge abstraction and surrogation -- Section 4 Functional architectures to support knowledge consumption -- 17 Functional architecture for knowledge augmentation, derivation, and synthesis -- 18 Functional architecture to manage risk and harm -- 19 Functional architectures for knowledge authentication and provenance -- 20 Functional architectures for securing knowledge assets -- 21 Functional architectures for authorization and asset management -- Section 5 Pulling it all together - the big picture knowledge architecture -- 22 Functional architecture for knowledge metadata and metainformation -- 23 The whole knowledge architecture - pulling it all together