1,720,965 research outputs found
Adopting Data Mesh principles to Boost Data Sharing for Clinical Trials
No full textAn effective clinical research requires the availability of relevant data and tools that make possible their efficient analysis. Among the several possibilities, data mesh, a distributed data architecture that is organized around specific domains and provides a self-service platform for accessing and using the data, is gaining the attention of the data and software engineering communities, mainly because of its ability to reduce the tension between the platform that manages the data and the teams that are in charge of managing them. Nevertheless, data mesh mainly focuses on how to manage data in a single organization by defining the sphere of responsibilities in the data management. Conversely, the continuous increase of data produced by hospitals calls for new approaches that enable the data sharing between clinical research centers.Goal of this paper is to extend the data mesh approach by considering the sharing of data among organizations which are members of a federation. Under the umbrella of a clinical trial which defines a temporary agreement among hospitals, a federated data mesh solution is designed to support the data management when data products from different organizations are considered. This implies the study on how the data ownership defined in the data mesh somehow becomes data sovereignty when data is shared with other organizations
Improving Content-Based Data Product Retrieval in Federated Environments with LLM and Sampling
No full textData products have emerged as a powerful paradigm for managing data in both intra-enterprise and federated environments, providing structured data assets that include not only the data itself but also services, metadata, and access policies. However, a key challenge in federated environments is the discovery of relevant data products. Traditional discovery mechanisms are heavily dependent on metadata, which is often inconsistent, incomplete, or not standardized across organizations. This lack of metadata quality significantly limits the effectiveness of discovery, making it difficult for consumers to identify and retrieve the data they need. To address this challenge, we propose a content-based discovery framework that shifts the focus from metadata to the actual content of data products. Our approach uses sampling techniques to extract meaningful data representations and a tabular retrieval model for natural language queries. Directly interacting with data improves discovery accuracy, enabling effective data access in federated environments
Data Friction: Physics-Inspired Metaphor to Evaluate the Technical Difficulties in Trustworthy Data Sharing
Full text linkData sharing between organizations is becoming an ever-increasing necessity. Data sharing allows organizations to improve business processes that depend on what happens in other organizations, just as having data from other organizations can enrich data analysis models. However, even though data is seen as the new oil, it does not move like oil. There are several technical and organizational factors that make data sharing difficult. In this work, inspired by the definition of friction in physics, we want to provide a first friction model that is able to capture the elements that hinder data sharing. The proposed model hypothesizes that through the adoption of data mesh in conjunction with a service-oriented sharing approach, we can utilize this model to reduce and reuse the effort for sharing data
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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