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Related Experiment Videos

A Web-based archive of systematic review data.

Stanley Ip¹, Nira Hadar, Sarah Keefe

¹Tufts Evidence-based Practice Center, Tufts Medical Center, Boston, MA 02111, USA.

Systematic Reviews

|May 17, 2012

Summary

This summary is machine-generated.

This study introduces the Systematic Review Data Repository, a shared online tool to reduce duplication in data extraction for systematic reviews. It aims to improve efficiency and speed up healthcare policy decisions.

Related Experiment Videos

Area of Science:

Health Informatics
Evidence Synthesis
Biomedical Research

Background:

Systematic reviews are crucial for healthcare policy but are labor-intensive.
Data extraction is a significant bottleneck, often involving duplicated effort.
Existing processes hinder efficient updating and synthesis of overlapping reviews.

Purpose of the Study:

To develop an open, collaborative, Web-based repository for systematic review data.
To create a central archive and data extraction tool to improve efficiency.
To enhance the speed and quality of healthcare policy and decision-making.

Main Methods:

Initiated the development of the Systematic Review Data Repository (SRDR).
Designed a Web-based platform with software tools for data sharing and extraction.
Identified and proposed solutions for technical and non-technical challenges.

Main Results:

The SRDR aims to serve as a central archive and data extraction tool.
Software tools will enable searching, incorporating, and contributing systematic review data.
Addressed challenges in data quality, user access, data accommodation, governance, and adoption.

Conclusions:

The Systematic Review Data Repository offers a solution to inefficiencies in systematic review processes.
It promotes collaboration and data sharing among global research organizations.
The repository is poised to accelerate evidence synthesis and inform healthcare policy more effectively.