Objective: To describe the frequency of open science practices in a contemporary sample of studies developing prognostic models using machine-learning methods in the field of oncology.
Study design and setting: We conducted a systematic review, …
Sport healthcare and performance support practitioners require data to inform clinical and performance decisions, identify risk factors and investigate the efficacy and effectiveness of different interventions. Data sharing is a key component to …
Data sharing is increasingly an expectation in health research since implementation of the National Institutes of Health Data Management and Sharing Policy. Qualitative studies are not exempt from this data sharing requirement. Recognizing this …
This list of resources consists of resources for researchers, editors, and reviewers interested in practicing open science principles, particularly in education research. This list is not exhaustive but meant as a starting point for individuals …
Research data sharing has become an expected component of scientific research and scholarly publishing practice over the last few decades, due in part to requirements for federally funded research. As part of a larger effort to better understand the …
The sharing of human neuroimaging data has great potential to accelerate the development of imaging biomarkers in neurological and psychiatric disorders; however, major obstacles remain in terms of how and why to share data in the Open Science …
Purpose
This study has been focused on assessing the Open Science scenario of cancer research during the period 2011–2021, in terms of the derived scientific publications and raw data dissemination.
Methods
A cancer search equation was executed in …
Efforts to make research results open and reproducible are increasingly reflected by journal policies encouraging or mandating authors to provide data availability statements. As a consequence of this, there has been a strong uptake of data …
When the scientific dataset evolves or is reused in workflows creating derived datasets, the integrity of the dataset with its metadata information, including provenance, needs to be securely preserved while providing assurances that they are not …
Background
The US Department of Veterans Affairs (VA) enterprise approach to research (VA Research) has built a data-sharing framework available to all research teams within VA. Combined with robust analytic systems and tools available for …