22 papers · ranked by Valyu relevance
Arianna M. Gard, Deena Shariq, Alison A. Albrecht, Alaina Lurie + 3 more
Concerns for the replicability, reliability, and generalizability of human neuroimaging research have led to intense debates over sample size and open science practices, with more recent attention on the contributions of sampling and recruitment practices. Key to understanding the state of neuroscience research is an…
F. J. D. Lange, Juliane C. Wilcke, Sabine Hoffmann, Moritz Herrmann + 1 more
'Anne-Laure Boulesteix'] Empirical substantive research, such as in the life or social sciences, is commonly categorized into the two modes exploratory and confirmatory, both of which are essential to scientific progress. The former is also referred to as hypothesis-generating or data-contingent research, the latter is…
Kai Standvoss, Vartan Kazezian, Britta R. Lewke, Kathleen Bastian + 12 more
Methods sections are often missing critical details needed to reproduce an experiment. Methodological shortcut citations, in which authors cite previous papers instead of describing the method in detail, may contribute to this problem. This meta-research study used three approaches to systematically examine the use of…
Natascha Drude, Camila Baselly, Małgorzata Anna Gazda, Jan-Niklas May + 4 more
Reproducibility is a significant concern in scientific research and complex methods like quantitative polymerase chain reaction (qPCR) demand stringent reporting standards to ensure that the methods are reproducible, data are sound, and conclusions are trustworthy. Although the MIQE (Minimum Information for Publication…
M-M Pittelkow, M Mönch, L B Mokkink, D L Streiner + 3 more
Introduction The Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were developed to improve the completeness and transparency of reporting of reliability and agreement of health measurement instruments. However, since their publication in 2011 methodological standards, both for reporting guideline…
Shannon E. Kelly, Jessie McGowan, Kim Barnhardt, Sharon E. Straus
Background Transparent reporting of rapid reviews enables appropriate use of research findings and dissemination strategies can strengthen uptake and impact for the targeted knowledge users, including policy-makers and health system managers. The aim of this literature review was to understand reporting and…
Matthew J. Page, David Moher, Sue Brennan, Joanne E. McKenzie
Background Incomplete reporting about what systematic reviewers did and what they found prevents users of the report from being able to fully interpret the findings and understand the limitations of the underlying evidence. Reporting guidelines such as the PRISMA statement and its extensions are designed to improve…
Zhichao He, Mengjie Bian, Jianhong Zhu, Jiayuan Chen + 7 more
Background: The Consolidated Standards of Reporting Trials (CONSORT) statement is the global benchmark for transparent and high-quality reporting of randomized controlled trials (RCTs). Manual verification of CONSORT adherence is a laborious, time-intensive process that constitutes a significant bottleneck in peer…
Yanfei Li, Elizabeth Ghogomu, Xu Hui, E. Fenfen + 14 more
Mapping reviews (MRs) are crucial for identifying research gaps and enhancing evidence utilization. Despite their increasing use in health and social sciences, inconsistencies persist in both their conceptualization and reporting. This study aims to clarify the conceptual framework and gather reporting items from…
Myriam Jaam, Ahmed Awaisu, Derek Stewart, Banan Mukhalalati + 5 more
Mixed methods research has gained huge popularity within the fields of healthcare, education, and social sciences in the past few decades, as it provides a deeper understanding of complex phenomena by combining the statistical robustness of quantitative data with the rigour and richness of qualitative data, thus…
Antonia Šušnjar, Antonia Kaiser, Dunja Simičić, Gianna Nossa + 3 more
Recent expert consensus publications have highlighted the issue of poor reproducibility in magnetic resonance spectroscopy (MRS) studies, mainly due to the lack of standardized reporting criteria, which affects their clinical applicability. To combat this, guidelines for minimum reporting standards (MRSinMRS) were…
Esther J van Zuuren, Patricia Logullo, Amy Price, Zbys Fedorowicz + 2 more
'Ellen L Hughes' 'William T Gattrell'] Objective To identify evidence on the reporting quality of consensus methodology and to select potential checklist items for the ACcurate COnsensus Reporting Document (ACCORD) project to develop a consensus reporting guideline. Design Systematic review. Data sources Embase…
James Harwood, Charlotte Albury, Jennifer de Beyer, Zhaoxiang Bian + 5 more
Background Despite endorsement by medical journals, reporting guidelines have only modestly affected reporting quality in healthcare research. We aimed to identify influences affecting whether authors successfully adhere to reporting guidelines. Methods We searched MEDLINE, Embase, PsychINFO, AMED, WHO Global Index…
Sebastian Lungu-Mitea, Matilda Stein Åslund, Inska Reichstein, Felipe Augusto Pinto-Vidal + 4 more
Incorporating biotransformation capabilities into in vitro assays represents one of the most critical challenges in toxicology, facilitating the transition from in vivo models to integrated in vitro strategies. Although emerging technologies show promise, their current limitations in scalability hinder high-throughput…
Matteo Esposito, Mikel Robredo Manero, Murali Sridharan, Guilherme Horta Travassos + 2 more
Empirical Software Engineering Authors: ['Matteo Esposito' 'Mikel Robredo Manero' 'Murali Sridharan' 'Guilherme Horta Travassos' 'Rafael Peñaloza' 'Valentina Lenarduzzi'] Abstract Context. Empirical Software Engineering (ESE) is the core of innovation in the broader SE fields via its qualitative and quantitative…
Xintong Zhao, Kyle Langlois, Jacob Furst, Scott McClellan + 5 more
'Xiaohua Hu' 'Yuan An' 'Diego A. Gómez‐Gualdrón' 'Fernando J. Uribe‐Romo' 'Jane Greenberg'] Abstract. Research methods and procedures are core aspects of the research process. Metadata focused on these components is critical to supporting the FAIR principles, particularly reproducibility. The research reported on in…
Authors not listed
Computational explorations of reaction mechanism which support and guide experimental efforts has become a key tool in the organic and inorganic chemistry community. This Perspective addresses key challenges and best practices for generating reliable, reproducible, and reusable data for quantum chemical calculations of…
Yanlin Zhang, Jing Zhao
We formalize scientific methodology—the end-to-end process from question formulation to evidence-grounded writing—as a phase-gated research protocol with explicit return paths and persistent constraints, and instantiate it for general-purpose language models as executable protocol specifications. The formalization…
Nan Gao, Soundariya Ananthan, Chun Chi Yu, Yuntao Wang + 1 more
'Flora D. Salim'] Computing human mental and wellbeing is crucial to various domains, including health, education, and entertainment. However, the reliance on self-reporting in traditional research to establish ground truth often leads to methodological inconsistencies and susceptibility to response biases, thus…
Steven Linfield, Sylwester Gawinkowski, Wojciech Nogala
Recently, shot noise has been shown to be an inherent part of all charge transfer processes, leading to a practical limit of quantification of 2100 electrons (~0.34 fC) (Curr. Opin. Electrochem. 2020, 22, 170177). Attainable limits of quantification are made much larger by greater background currents and insufficient…
Matthew Lewis, Elena Chekmeneva, Stephane Camuzeaux, Caroline Sands + 11 more
Metabolomics utilising liquid chromatography mass spectrometry (LC-MS) offers biomedical researchers a powerful means of assessing and comparing human phenotypes via measurement of the metabolome in biological samples. Platforms for LC-MS-based global profiling quantify hundreds or thousands of small molecule…
Mahnoor Zulfiqar, Michael R. Crusoe, Birgitta König-Ries, Christoph Steinbeck + 2 more
Scientific workflows facilitate the automation of data analysis tasks by integrating various software and tools executed in a particular order. To enable transparency and reusability in workflows, it is essential to implement the FAIR principles. Here, we describe our experiences implementing the FAIR principles for…