Taxonomy for Humans or Computers? Cognitive Pragmatics for Big Data

Criticism of big data has focused on showing that more is not necessarily better, in the sense that data may lose their value when taken out of context and aggregated together. The next step is to incorporate an awareness of pitfalls for aggregation into the design of data infrastructure and institutions. A common strategy minimizes aggregation errors by increasing the precision of our conventions for identifying and classifying data. As a counterpoint, we argue that there are pragmatic trade-offs between precision and ambiguity that are key to designing effective solutions for generating big data about biodiversity. We focus on the importance of theory-dependence as a source of ambiguity in taxonomic nomenclature and hence a persistent challenge for implementing a single, long-term solution to storing and accessing meaningful sets of biological specimens. We argue that ambiguity does have a positive role to play in scientific progress as a tool for efficiently symbolizing multiple aspects of taxa and mediating between conflicting hypotheses about their nature. Pursuing a deeper understanding of the trade-offs and synthesis of precision and ambiguity as virtues of scientific language and communication systems then offers a productive next step for realizing sound, big biodiversity data services

The field of inter-organizational relations : a jungle or an Italian garden?

Each chapter in this Handbook contains an explicit assessment of priorities for future research that would extend and deepen an understanding of IOR. Given the diversity of contributions to this volume, it is perhaps not surprising that recommendations for future research are varied. And because the three sets of contributions start from different points-empirical manifestations, theoretical and disciplinary perspectives, and thematic interests-so the recommendations, too, might be expected to lead along different paths, 'cutting' and framing future research topics in different ways. Nevertheless, as others have suggested (Brass et al. 2005) it is possible to see some points of convergence across all three parts of the Handbook. We begin our discussion of the contributions and suggestions for the future by focusing on these points of convergence. We then look in turn at the specific ideas that emerge from, and relate to, the specific framings of each of the parts. Finally, we draw together insights about methodological issues

Between fetishism and survival : is the scientific article an academic commodity?

This article discusses the possible meanings of the intense prevailing concern in academic circles over the notion of research productivity, as reflected in an excess number of articles published in various scientific journals. The numerical accounting of articles published by researchers in scientific journals with renowned academic status serves to legitimize academics in their fields of work, in various ways. In this sense, we suggest that scientific articles take on aspects of merchandise-as-fetish, according to Marx's theory of use-value and exchange-value and Benjamin's exposure value. Meanwhile, the biological notions of selection and evolution are used as metaphorical elements in "bibliographic Darwinism". There are references as to the possibility many of the prevailing bibliometric concerns serve as instruments for econometric analysis, especially to orient and enhance cost-effectiveness analysis in research investments of various orders and types, from the point of view of their economic return

Power of Position

How biodiversity classification, with its ranking of species, has social and political implications as well as implications for the field of information studies. The idea that species live in nature as pure and clear-cut named individuals is a fiction, as scientists well know. According to Robert D. Montoya, classifications are powerful mechanisms and we must better attend to the machinations of power inherent in them, as well as to how the effects of this power proliferate beyond the boundaries of their original intent. We must acknowledge the many ways our classifications are implicated in environmental, ecological, and social justice work—and information specialists must play a role in updating our notions of what it means to classify. In Power of Position, Montoya shows how classifications are systems that relateone entity with other entities, requiring those who construct a system to value an entity's relative importance—by way of its position—within a system of other entities. These practices, says Montoya, are important ways of constituting and exerting power. Classification also has very real-world consequences. An animal classified as protected and endangered, for example, is protected by law. Montoya also discusses the Catalogue of Life, a new kind of composite classification that reconciles many local (“traditional”) taxonomies, forming a unified taxonomic backbone structure for organizing biological data. Finally, he shows how the theories of information studies are applicable to realms far beyond those of biological classification

AN EVOLUTIONARY APPROACH TO BIBLIOGRAPHIC CLASSIFICATION

This dissertation is research in the domain of information science and specifically, the organization and representation of information. The research has implications for classification of scientific books, especially as dissemination of information becomes more rapid and science becomes more diverse due to increases in multi-, inter-, trans-disciplinary research, which focus on phenomena, in contrast to traditional library classification schemes based on disciplines.The literature review indicates 1) human socio-cultural groups have many of the same properties as biological species, 2) output from human socio-cultural groups can be and has been the subject of evolutionary relationship analyses (i.e., phylogenetics), 3) library and information science theorists believe the most favorable and scientific classification for information packages is one based on common origin, but 4) library and information science classification researchers have not demonstrated a book classification based on evolutionary relationships of common origin.The research project supports the assertion that a sensible book classification method can be developed using a contemporary biological classification approach based on common origin, which has not been applied to a collection of books until now. Using a sample from a collection of earth-science digitized books, the method developed includes a text-mining step to extract important terms, which were converted into a dataset for input into the second step—the phylogenetic analysis. Three classification trees were produced and are discussed. Parsimony analysis, in contrast to distance and likelihood analyses, produced a sensible book classification tree. Also included is a comparison with a classification tree based on a well-known contemporary library classification scheme (the Library of Congress Classification).Final discussions connect this research with knowledge organization and information retrieval, information needs beyond science, and this type of research in context of a unified science of cultural evolution