Generalized Systematic Review Template Joins OSF Registries

$ 15.00

4.5 (661) In stock

Researchers, no matter their discipline or study design, can use OSF to (pre)register their research. Registration refers to archiving one’s study design and outputs (e.g., data or analysis code) so that this information is immutable and persistently available in a public repository. Currently, over 126,000 registrations are archived and publicly available on OSF Registries with more than 453,000 indexed from other community registries. To help researchers register rigorous, reproducible study designs, several registration templates have been implemented on OSF. But as OSF’s user base has continued to grow, the community’s need to archive systematic reviews has become apparent.

Our Blog Open Science (4)

Pedro Ricardo Bin (@pedroricardobin) / X

The Open Science Framework, Part 1: pre-registering a study protocol

Social, affective, and non-motoric bodily cues to the Sense of Agency: A systematic review of the experience of control - ScienceDirect

Final Abstract Number: 23.001 Session: Antibiotic - EpiSouth

Perspectives on systematic review protocol registration: a survey amongst stakeholders in the clinical research publication process, Systematic Reviews

Exercise Depression, PDF, Meta Analysis

Protocol registration improves reporting quality of systematic reviews in dentistry, BMC Medical Research Methodology

Frontiers Promoting physical activity and a healthy active lifestyle in community-dwelling older adults: a design thinking approach for the development of a mobile health application

Addressing Non-ignorable Panel Attrition Using External Population Data: Analysis of Demographic Events From Survey Data - John Ermisch, 2023

Submit a Registered (Registrations) Report - OSF Support

Two decades of digital interventions for anxiety disorders: a systematic review and meta-analysis of treatment effectiveness, Psychological Medicine

How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing

Pedro Ricardo Bin (@pedroricardobin) / X