Back to search

Article

Data Sharing Across Osteoarthritis Research Groups and Disciplines: Opportunities and Challenges

2020-10-29

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> Osteoarthritis is a heterogeneous condition characterised by a wide variety of factors and represents a worldwide healthcare challenge. There are multiple clinical and research specialisms involved in the diagnosis, prognosis and treatment of osteoarthritis, and there may be opportunities to share or pool data which are currently not being utilised. However, the...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3b7746e2-e236-5086-9bcb-70bd5c8cf053
DOI
10.21203/rs.3.rs-97815/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Data Sharing Across Osteoarthritis Research Groups and Disciplines: Opportunities and ChallengesDOI 10.21203/rs.3.rs-97815/v1
A comprehensive descriptive analysis of hip and knee radiographic osteoarthritis in the UK Biobank in relation to joint pain, joint site interrelationships, obesity, race and deprivation: Findings from 59,475 individualsSemantic proximity
Sharing Is Caring &ndash; Data Sharing Initiatives in HealthcareSemantic proximity
Cohort profile: The Applied Public-Private Research enabling OsteoArthritis Clinical Headway (IMI-APPROACH) study: a 2-year, European, cohort study to describe, validate and predict phenotypes of osteoarthritis using clinical, imaging and biochemical markers.Semantic proximity
How do we measure the costs, benefits, and harms of sharing data from biomedical studies? A protocol for a scoping reviewSemantic proximity
Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysisSemantic proximity
Publishing descriptions of non-public clinical datasets: guidance for researchers, repositories, editors and funding organisationsSemantic proximity
Exploring Views of Orthopaedic Surgeons, Rheumatologists, and General Practitioners About Osteoarthritis ManagementSemantic proximity
A consensus-based framework for conducting and reporting osteoarthritis phenotype research.Semantic proximity
Assessing the Secondary Use and Scientific Impact of Shared Clinical Trial Data: A Cross-Sectional Study of Clinical Trials Shared on the YODA Project PlatformSemantic proximity
Manual Validation of an Algorithm for Identifying Osteoarthritis within the Centralized Interactive Phenomics Resource of the Million Veteran ProgramSemantic proximity
Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaborationSemantic proximity
Accelerating precision medicine: a proposed framework for large-scale multiomics data integrity, interoperability, analysis, and collaboration in biomedical discoverySemantic proximity
Select a neighboring publication to make it the new centre.