| Literature DB >> 22588052 |
Stanley Ip1, Nira Hadar, Sarah Keefe, Christopher Parkin, Ramon Iovin, Ethan M Balk, Joseph Lau.
Abstract
Systematic reviews have become increasingly critical to informing healthcare policy; however, they remain a time-consuming and labor-intensive activity. The extraction of data from constituent studies comprises a significant portion of this effort, an activity which is often needlessly duplicated, such as when attempting to update a previously conducted review or in reviews of overlapping topics.In order to address these inefficiencies, and to improve the speed and quality of healthcare policy- and decision-making, we have initiated the development of the Systematic Review Data Repository, an open collaborative Web-based repository of systematic review data. As envisioned, this resource would serve as both a central archive and data extraction tool, shared among and freely accessible to organizations producing systematic reviews worldwide. A suite of easy-to-use software tools with a Web frontend would enable researchers to seamlessly search for and incorporate previously deposited data into their own reviews, as well as contribute their own.In developing this resource, we identified a number of technical and non-technical challenges, as well as devised a number of potential solutions, including proposals for systems and software tools to assure data quality, stratify and control user access effectively and flexibly accommodate all manner of study data, as well as means by which to govern and foster adoption of this new resource.Herein we provide an account of the rationale and development of the Systematic Review Data Repository thus far, as well as outline its future trajectory.Entities:
Mesh:
Year: 2012 PMID: 22588052 PMCID: PMC3351737 DOI: 10.1186/2046-4053-1-15
Source DB: PubMed Journal: Syst Rev ISSN: 2046-4053
Figure 1Partial view of the Project Information Section of a Systematic Review Data Repository data extraction form.
Figure 2Partial view of the Study Enrollment and Design Information Entry Section.
Figure 3Partial view of the Outcome Data Entry Section.
Figure 4Partial view of the Study Quality Appraisal Entry Section.
Figure 5Partial view of the Project Description and Key Questions Section.