Although guidelines to regulate user involvement in research have been advocated and implemented for several years, literature still describes the process as challenging. In this qualitative study, we take a critical view on guidelines that are developed to regulate and govern the collaboration process of user involvement in research. We adapt a social constructivist view of guidelines and our aim is to explore how guidelines construct the perception of users and researchers and thus the process of involvement. Twenty-two guidelines published between 2006 and 2019 were analyzed iteratively. The analysis focuses on values which are emphasized in the guidelines on the distribution of entities, knowledge, and tasks between users and researchers. The analysis indicates that users and researchers are constructed differently; researchers are mainly constructed as responsible initiators and caretakers, while users are constructed as powerless and vulnerable. The guidelines portray the collaboration process as harmonious and assume a normative perspective. In doing so, challenges described in the literature related to power imbalances are not addressed. Based on these findings, we ask if these guidelines might function to maintain existing power imbalances between users and researchers.
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http://dx.doi.org/10.1111/nin.12378 | DOI Listing |
JMIR Res Protoc
January 2025
Data and Web Science Group, School of Business Informatics and Mathematics, University of Manneim, Mannheim, Germany.
Background: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These models are increasingly integrated into various applications, including mental health support. However, the credibility of LLMs in providing reliable and explainable mental health information and support remains underexplored.
View Article and Find Full Text PDFDatabase (Oxford)
January 2025
Research and Development Centre, Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, ON CA K1A 0C6, Canada.
It is well-known that the use of vocabulary in phenotype treatments is often inconsistent. An earlier survey of biologists who create or use phenotypic characters revealed that this lack of standardization leads to ambiguities, frustrating both the consumers and producers of phenotypic data. Such ambiguities are challenging for biologists, and more so for Artificial Intelligence, to resolve.
View Article and Find Full Text PDFCien Saude Colet
January 2025
Faculdade de Medicina, Universidade de São Paulo. Av. Dr. Arnaldo 455, 2º andar, sala 2216, Cerqueira Cesar. 01246-903 São Paulo SP Brasil.
Prophylaxis based on antiretrovirals, such as pre-exposure prophylaxis to HIV (PrEP), has the potential to protect the populations most vulnerable to infection, which renews optimism for controlling the HIV epidemic. Against this backdrop, the aim of this article is to analyze the perceptions, negotiations and tensions surrounding the use of PrEP by men who have sex with men (MSM). This is a qualitative cross-section of a multicenter study, analyzing semi-structured interviews with 18 users of specialized HIV/AIDS healthcare facilities in the city of São Paulo/SP.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Department of Biology, University of Padova, Via U.Bassi 58/ B, 35131, Italy.
Shallow whole-genome sequencing (sWGS) offers a cost-effective approach to detect copy number alterations (CNAs). However, there remains a gap for a standardized workflow specifically designed for sWGS analysis. To address this need, in this work we present SAMURAI, a bioinformatics pipeline specifically designed for analyzing CNAs from sWGS data in a standardized and reproducible manner.
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