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Open Access Publications from the University of California

About

The UCLA Graduate School of Education & Information Studies (GSE&IS) includes two departments--the Department of Education and the Department of Information Studies. Together, the two departments embody the school's commitment to understand and improve educational practice, information policy, and information systems in a diverse society. Research and doctoral training programs bring together faculties committed to expanding the range of knowledge in education, information science, and associated disciplines. The professional training programs seek to develop librarians, teachers, and administrators within the enriched context of a research university.

UCLA Graduate School of Education and Information Studies

There are 527 publications in this collection, published between 1994 and 2020.
Publications (191)

Information science is neither

© 2015 The Board of Trustees, University of Illinois. Information science is not a science, nor is it primarily about information. In this paper, an argument is developed in support of the latter claim. A working definition of information is proposed, and doubts are raised about the extent to which each of five core subfields of information science/studies (information behavior, information retrieval, infometrics, information organization, and information ethics) has to do with information as defined. Several alternative candidates for the primary phenomenon of interest shared by those working in all five subfields are considered: these include data studies; knowledge studies; metadata studies; representation studies; relevance studies; and (as a branch of cultural studies) collection, preservation, and access studies. A prime candidate is identified, and some implications of such a reading for the application of philosophical approaches to information science/studies are highlighted.

The effects of student–faculty interaction on academic self-concept: Does academic major matter?

© Springer Science+Business Media New York 2014. Using cross-classified multilevel modeling, this study attempted to improve our understanding of the group-level conditional effects of student–faculty interaction by examining the function of academic majors in explaining the effects of student–faculty interaction on students’ academic self-concept. The study utilized data on 11,202 undergraduate students who completed both the 2003 Freshman Survey and the 2007 College Senior Survey at 95 baccalaureate institutions nationwide. The results show that the strength of the relationship between having been a guest in a professor’s home and students’ academic self-concept varies by academic major. Findings also suggest that some aspects of departmental climate, such as a racially more diverse student body and greater faculty accessibility, can possibly magnify the beneficial effects of student–faculty interaction. The study discusses the theoretical and practical implications of the findings.

From artifacts to aggregations: Modeling scientific life cycles on the semantic web

In the process of scientific research, many information objects are generated, all of which may remain valuable indefinitely. However, artifacts such as instrument data and associated calibration information may have little value in isolation; their meaning is derived from their relationships to each other. Individual artifacts are best represented as components of a life cycle that is specific to a scientific research domain or project. Current cataloging practices do not describe objects at a sufficient level of granularity nor do they offer the globally persistent identifiers necessary to discover and manage scholarly products with World Wide Web standards. The Open Archives Initiative's Object Reuse and Exchange data model (OAI-ORE) meets these requirements. We demonstrate a conceptual implementation of OAI-ORE to represent the scientific life cycles of embedded networked sensor applications in seismology and environmental sciences. By establishing relationships between publications, data, and contextual research information, we illustrate how to obtain a richer and more realistic view of scientific practices. That view can facilitate new forms of scientific research and learning. Our analysis is framed by studies of scientific practices in a large, multidisciplinary, multiuniversity science and engineering research center, the Center for Embedded Networked Sensing. © 2009 ASIS&T.

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Working Papers (6)

Presentation for GSIS2016: Representation, Symbolic Annihilation and the Emotional Potential of Community Archives

Since the late 1970s, feminist media scholars have used the term “symbolic annihilation” to denote how strong women characters are absent, grossly under-represented, maligned, or trivialized by mainstream television programming, news outlets, and magazine coverage. In the wake of this absence, minoritized communities fail to see themselves or their place in the world. In archival studies, the concept of symbolic annihilation has recently has been used to describe the affective impact on the South Asian American community of being excluded, silenced or misrepresented in mainstream archival collections.  The proposed paper builds on and expands this research by examining the affective impact of both exclusion and representation in archives on members of communities that have coalesced around and been marginalized because of ethnic, racial, gender, sexual, and/or political identities. Based on more than a dozen in-depth qualitative interviews with practitioners at several independent community archives in Southern California—including those representing LGBTQ communities and communities of color—our research explores how symbolic annihilation operates and the affect it produces among archives users. We argue that independent, identity-based community archives can counter the symbolic annihilation of mainstream collections by providing avenues for minoritized communities to meaningfully represent themselves. We propose the term representational belonging to describe the ways in which such organizations enable people to have the power and authority to establish and enact their presence in ways that are complex, meaningful, substantive, and positive.

 

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Slides for When use cases are not useful: Data practices, astronomy, and digital libraries

As science becomes more dependent upon digital data, the need for data curation and for data digital libraries becomes more urgent. Questions remain about what researchers consider to be their data, their criteria for selecting and trusting data, and their orientation to data challenges. This paper reports findings from the first 18 months of research on astronomy data practices from the Data Conservancy. Initial findings suggest that issues for data production, use, preservation, and sharing revolve around factors that rarely are accommodated in use cases for digital library system design including trust in data, funding structures, communication channels, and perceptions of scientific value.

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