1,720,962 research outputs found
Data Sharing Services and Infrastructure at Princeton: A case study
No full textThis presentation provides a case study for building a sustainable data sharing infrastructure at Princeton University. This was presented as part of the Data Curation Network's Repository Readiness Virtual Learning Series, Summer 2023.Cowles, Wind. (2023). Data Sharing Services and Infrastructure at Princeton: A case study. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/255740
Oral History Interviews 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-85-18-0040-18Pryse, JA; Harp, Matthew; Mannheimer, Sara; Marsolek, Wanda; Cowles, Wind. (2021). Oral History Interviews Data Curation Primer. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/219052
Unpacking the structures of radical interdependence: The experience of the Data Curation Network
No full textIn 2016, six academic libraries initiated the Data Curation Network (DCN) as an experimental model for collaboratively curating data sets deposited into their institutional repositories. The DCN model is centered on “radical interdependence”, opening up access to expertise of the data curators at any one institution to all participating member libraries. Under this model, DCN member institutions leverage the collective knowledge and skills of all member curators, creating a greater capacity to curate more data more effectively than any one institution could by themselves. The DCN is now a thriving community and has grown to 17 member institutions. The DCN recently conducted a project retrospective to better understand the enabling structures and tools that allowed the network to thrive. Representatives from the member institutions were recently asked to reflect on their experiences in developing the DCN and what elements contributed to its success. We asked them to consider not just the structures, tools, and workflows that we collectively designed, but the more intangible aspects of the DCN, such as generating trust, acknowledging vulnerability, and community building. In our presentation, we will explore the key enabling structures of “radical interdependence” that were identified by DCN members. We will then lead a discussion on how these structures could potentially be applied to other cross-institutional or multidisciplinary collaborations.
Presented at the Coalition for Networked Information Fall 2022 member meeting.Carlson, Jake; Cowles, Wind; Johnston, Lisa R.; Narlock, Mikala R.. (2022). Unpacking the structures of radical interdependence: The experience of the Data Curation Network. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/250149
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
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
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
From Curation to Compliance: Supporting Research Data Sharing at Scale
No full textPresented at the 2023 EDUCAUSE annual meeting in Chicago.
One of the major challenges facing IT and information professionals in higher education is how to support and advance data-intensive research at scale while meeting the needs of researchers and the requirements of research funders in a complex and rapidly shifting regulatory and technological environment. This challenge is exacerbated for campus-wide infrastructure and services by the heterogeneity and complexity of the data and workflows involved, and is particularly felt in the growth of requirements around data sharing and the increase across all disciplines in non-traditional research outputs. These challenges raise questions about what counts as research data, what needs to be shared and for how long, where are researchers sharing their data, how much will sharing cost and how will it be sustainability supported, how will researchers be involved and supported, how will institutions be sure that they are in compliance, and how do they ensure long-term value of the information generated by their researchers? Answers to these questions involve a campus ecosystem of services, infrastructures, and partnerships.
In this session, leaders from four different organizations will provide insights into these challenges and the solutions that their organizations are pursuing, showcasing examples of leadership partnerships, collaborative experimentation, and radical collaboration. After introducing an overview of the challenges and drivers in this area, they will share the results of the NSF-funded study, Realities of Academic Data Sharing, led by the Association of Research Libraries (ARL), which sought to understand how and where researchers are sharing their data, the completeness of the metadata, and the expenses associated with sharing the research data - calculating both institutional expenses and researcher costs. Next, they will go into depth on two institutional research data service programs at Princeton University and North Carolina State University that exemplify inter-institutional collaboration across service units. Finally, they will share some lessons learned from the Data Curation Network, a growing cross-institutional collaboration of 16 member organizations for enabling and advancing research data sharing. Participants will be invited to share their experiences, challenges, and solutions that their institutions are pursuing.Johnston, Lisa R.; Ivey, Susan; Cowles, Wind; Hudson Vitale, Cynthia. (2023). From Curation to Compliance: Supporting Research Data Sharing at Scale. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/257778
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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