1,720,961 research outputs found
IASSIST / DCN Data Curation Workshop
Full text linkWorkshop at the 2018 IASSIST Annual Conference.“Launching the Data curation Network: A cross-institutional staffing model for curating research data” funded 2018-2021 by the Alfred P. Sloan Foundation grant G-2018-10072.Moore, Jennifer; Blake, Mara; Sedlins, Mara; Kozlowski, Wendy. (2018). IASSIST / DCN Data Curation Workshop. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/208683
GeoTiff Data Curation Primer
No full textThis work was created as part of the “Specialized Data Curation” Workshop #3 held at Washington University in St. Louis, MO on November 5-6, 2019.Institute of Museum and Library Services RE-85-18-0040-18Kearney, Courtney; Ruhs, Nick; Sedlins, Mara; Tien, Tracy; Trelogan, Jessica; Watts, John. (2020). GeoTiff Data Curation Primer. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/216574
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Research Data and the Duke Digital Repository: Building a Service-Driven Data Curation Workflow
Full text linkThis year, Duke University Libraries launched the Duke Digital Repository (DDR), a service that supports the activities of the University\u27s faculty, researchers, students, and library staff by preserving, securing, and providing access to digital resources. The DDR is built on three program areas: research data, scholarly publications, and library collections. The research data area of the DDR reflects a new focus on research data management services at Duke, which includes preservation-level storage in the DDR, as well as consulting and instruction. The new program of services is supported by four new staff members (two research data management consultants and two digital repository content analysts), as well as a CLIR postdoctoral fellow. Along with two subject specialist librarians and the head of Data and Visualization Services, we form the Research Data Working Group at Duke Libraries, which provides policy, procedure, and technical recommendations on data curation and management issues related to the library’s repository program. We are currently piloting new services, policies, and workflows to promote data sharing and curation, quality metadata, and reproducible research, offering consultations and workshops in research data management best practices. This poster will report on the organizational structures, data sharing policies, metadata requirements, and workflows for data ingest that are currently in place
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
The Automatic Social Categorization Test: Validating a New Measure
No full textThesis (Ph.D.)--University of Washington, 2012Categorization is an essential process in making sense of the world. However, it simplifies perception in a way that distorts reality to some degree. For instance, the color spectrum is a continuum of wavelengths; but colors are grouped into linguistically defined categories (Berlin & Kay, 1969). Although people can tell the difference between different hues within a category, they are better at discriminating colors from different categories than colors from the same category, even if they differ by the same degree in terms of physical wavelength. Harnad (2003) describes this process as “'warping' perceived similarities and differences so as to compress some things into the same category and separate others into different categories.” This dissertation describes the Automatic Social Categorization Test (ASCAT), a new way to measure the extent to which this process occurs for social categories (e.g., gender, age, race) by examining confusion errors among stimuli that vary continuously between two categories. We operationally define automatic categorical perception as the degree to which confusion rates are higher for a pair of stimuli within the same subjective category than for a pair belonging to different subjective categories. We first present a series of validation studies with non-social stimuli, showing that automatic categorical perception is stronger for categorical stimuli (i.e., with a gap in the middle) than for continuous stimuli. Next, we extend our method to social stimuli (i.e., morphed faces varying in racial composition), demonstrating a categorical trend that is reduced when social information is removed (i.e., when the faces are scrambled). The degree of automatic social categorization also depends on which social category is presented; faces varying in gender and race are perceived more categorically than faces varying in age. Finally, we show that there are reliable individual differences in automatic race categorization that cannot be attributed to working memory ability or differential fatigue effects. Performance on the ASCAT is also relatively stable across multiple testing sessions. These results suggest that the ASCAT is a useful new tool for research on the correlates and consequences of automatic social categorization
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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