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A Web-based archive of systematic review data.

Ip S, Hadar N, Keefe S, Parkin C, Iovin R, Balk EM, Lau J - Syst Rev (2012)

Bottom Line: 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.

View Article: PubMed Central - HTML - PubMed

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

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.

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Partial view of the Project Description and Key Questions Section.
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Related In: Results  -  Collection

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Figure 5: Partial view of the Project Description and Key Questions Section.

Mentions: At this time, data extractors within the Tufts EPC have been testing SRDR functionality, yielding continuing improvements. Selected screenshots of the current implementation of the SRDR are depicted in Figures 1, 2, 3, 4 and 5. The focus of the archive is on enlisting future data collection, as we do not anticipate that many investigators will enter previously extracted data. However, we are creating import tools to simplify copying data extracted in other databases into the SRDR. This will enable those who wish to continue using their preferred software for data extraction to easily contribute previously extracted data into the SRDR archive.


A Web-based archive of systematic review data.

Ip S, Hadar N, Keefe S, Parkin C, Iovin R, Balk EM, Lau J - Syst Rev (2012)

Partial view of the Project Description and Key Questions Section.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3351737&req=5

Figure 5: Partial view of the Project Description and Key Questions Section.
Mentions: At this time, data extractors within the Tufts EPC have been testing SRDR functionality, yielding continuing improvements. Selected screenshots of the current implementation of the SRDR are depicted in Figures 1, 2, 3, 4 and 5. The focus of the archive is on enlisting future data collection, as we do not anticipate that many investigators will enter previously extracted data. However, we are creating import tools to simplify copying data extracted in other databases into the SRDR. This will enable those who wish to continue using their preferred software for data extraction to easily contribute previously extracted data into the SRDR archive.

Bottom Line: 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.

View Article: PubMed Central - HTML - PubMed

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

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.

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