As scientific investigations increasingly adopt Open Science practices, reuse of data becomes paramount. However, despite decades of progress in internet search tools, finding relevant astrobiology datasets for an envisioned investigation remains …
Objectives
This study evaluates the endorsement of open science practices by dental journals.
Materials and methods
This was a meta-research study that included journals listed in the 2021 Journal Citation Reports under Dentistry. A comprehensive …
The National Academies hosted a hybrid public workshop in Fall 2023, sponsored by the National Institutes of Health, to explore approaches that U.S. Department of Health and Human Services (HHS) agencies could consider as they develop or update …
Motivation
The maturation of systems immunology methodologies requires novel and transparent computational frameworks capable of integrating diverse data modalities in a reproducible manner.
Results
Here, we present the ePlatypus computational …
While Open Science has arguably initiated positive changes at some stages of the research process (e.g., increasing transparency through preregistration), problematic behaviors during data collection are still almost impossible to detect and pose a …
This book is not a how-to-do-it manual, so much as a why-to-do-it. Our main goal is to instill in the reader awareness of the numerous sources of bias that can lead to mistaken conclusions when evaluating interventions. Real-life examples are …
Objective
The goals of this study were to evaluate the extent that physical therapy journals support open science research practices by adhering to the Transparency and Openness Promotion guidelines and to assess the relationship between journal …
Efforts by governments, firms, and patients to deliver pioneering drugs for critical health needs face a challenge of diminishing efficiency in developing those medicines. While multi-sectoral collaborations involving firms, researchers, patients, …
Health data are extremely important in today’s data-driven world. Through automation, healthcare processes can be optimized, and clinical decisions can be supported. For any reuse of data, the quality, validity, and trustworthiness of data are …