Heather Moulaison Sandy

Bio: Heather Moulaison Sandy is an academic researcher from University of Missouri. The author has contributed to research in topics: Metadata & Computer science. The author has an hindex of 7, co-authored 28 publications receiving 142 citations.

Providing Cognitively Just Subject Access to Indigenous Knowledge through Knowledge Organization Systems

Abstract: This article explores cognitively just, reliable subject access to indigenous knowledge through knowledge organization systems (KOSs). Cognitive justice requires that indigenous people be able to access materials in a way that respects their worldview, yet dominant KOSs are based on positivist, Western approaches that are fundamentally incompatible. Alternatives to universal systems include the creation of new KOSs and the adaptation of universal ones. Going forward, emerging web technologies are presented as key to moving away from universalist schemes and toward specialized access.

Information behavior and ICT use of Latina immigrants to the U.S. Midwest

Abstract: Latina immigrants to the U.S. Midwest are a vibrant, complex, and resilient population of women with intersectional identities stemming from their participation in at least three distinct but interrelated communities: (1) women [in a family-centric culture defined by strong gender roles], (2) immigrants [potentially with linguistic and socioeconomic status disadvantages] and (3) residents of the U.S. Midwest [a low-population/rural area with lesser access to resources and an increasingly xenophobic host community]. Given the potential for marginalization, Latina immigrants to the Midwest represent a population vulnerable to digital exclusion. The current research is the first to investigate systematically ICT use by immigrant Latinas to the U.S. Midwest. Specifically, as consumers and users of technology-mediated information, Latina immigrants to the U.S. Midwest navigate a complex and understudied social environment. To develop a strategy to begin to break down technology barriers for these women, first the complex and interconnected nature of their social environment and information practices needs to be understood; the current article presents that foundational research.

Information Sources of Latin American Immigrants in the Rural Midwest in the Trump Era

Abstract: Since the 1920s, Latin American immigrants to the United States have frequently settled in established communities in border states and large urban areas. Since the 1990s, however, Latin American immigrants, documented and undocumented, have been settling in the rural Midwest. We begin this article by considering Trump-era rhetoric and actions affecting Latin American immigrants and the historical context for that immigration. Next, we present information sources and locations (i.e., information grounds) used by the rural midwestern immigrants we interviewed. Finally, we discuss the roles that libraries have taken across the nation in providing information to immigrants, but we contrast that with the limited role of libraries as information sources for Latin American immigrants.

Bringing Content into the Picture: Proposing a Tri-Partite Model for Digital Preservation

Abstract: Digital preservation is a complex field that is rapidly maturing and increasingly focusing on content as well as the human element of digital preservation. This conceptual article examines a number of digital preservation models meeting a variety of needs created by different communities. Given the guidance these models have afforded digital preservation, considering the present, and looking to the future, this article proposes a tri-partite model for thinking about digital preservation in an era of robust community involvement: the Digital Preservation Triad. The Triad focuses on 1) Management, including elements relating to documentation and human resources; 2) Technology; and 3) Content.

High-Quality Metadata and Repository Staffing: Perceptions of United States–Based OpenDOAR Participants

Abstract: Digital repositories require good metadata, created according to community-based principles that include provisions for interoperability. When metadata is of high quality, digital objects become sharable and metadata can be harvested and reused outside of the local system. A sample of U.S.-based repository administrators from the OpenDOAR initiative were surveyed to understand aspects of the quality and creation of their metadata, and how their metadata could improve. Most respondents (65%) thought their metadata was of average quality; none thought their metadata was high quality or poor quality. The discussion argues that increased strategic staffing will alleviate many perceived issues with metadata quality.

Personal Knowledge: Towards a Post-Critical Philosophy

Abstract: The Study of Man. By Michael Polanyi. Price, $1.75. Pp. 102. University of Chicago Press, 5750 Ellis Ave., Chicago 37, 1959. One subtitle to Polanyi's challenging and fascinating book might be The Evolution and Natural History of Error , for Polanyi is at pains to expunge what he believes to be the false notion contained in the contemporary view of science which treats it as an object and basically impersonal discipline. According to Polanyi not only is this a radical and important error, but it is harmful to the objectives of science itself. Another subtitle could be Farewell to Detachment , for in place of cold objectivity he develops the idea that science is necessarily intensely personal. It is a human endeavor and human point of view which cannot be divorced from nor uprooted out of the human matrix from which it arises and in which it works. For a good while

科研数据共享的挑战 (The Conundrum of Sharing Research Data)

Abstract: We must all accept that science is data and that data are science, and thus provide for, and justify the need for the support of, much-improved data curation. (Hanson, Sugden, & Alberts) Researchers are producing an unprecedented deluge of data by using new methods and instrumentation. Others may wish to mine these data for new discoveries and innovations. However, research data are not readily available as sharing is common in only a few fields such as astronomy and genomics. Data sharing practices in other fields vary widely. Moreover, research data take many forms, are handled in many ways, using many approaches, and often are difficult to interpret once removed from their initial context. Data sharing is thus a conundrum. Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: (1) to reproduce or to verify research, (2) to make results of publicly funded research available to the public, (3) to enable others to ask new questions of extant data, and (4) to advance the state of research and innovation. These rationales differ by the arguments for sharing, by beneficiaries, and by the motivations and incentives of the many stakeholders involved. The challenges are to understand which data might be shared, by whom, with whom, under what conditions, why, and to what effects. Answers will inform data policy and practice. © 2012 Wiley Periodicals, Inc.

Literature As Exploration

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What Drives Academic Data Sharing

Abstract: Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of study results and the reuse of old data for new research questions. Based on a systematic review of 98 scholarly papers and an empirical survey among 603 secondary data users, we develop a conceptual framework that explains the process of data sharing from the primary researcher’s point of view. We show that this process can be divided into six descriptive categories: Data donor, research organization, research community, norms, data infrastructure, and data recipients. Drawing from our findings, we discuss theoretical implications regarding knowledge creation and dissemination as well as research policy measures to foster academic collaboration. We conclude that research data cannot be regarded a knowledge commons, but research policies that better incentivize data sharing are needed to improve the quality of research results and foster scientific progress.