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Data Management Plan Template: Systematic Reviews

Name: Data Management Plan Template: Systematic Reviews
Keywords: reviews, systematic reviews, evidence synthesis, scoping reviews, knowledge synthesis

appsOther research productkeyboard_double_arrow_right Other ORP type 09 Apr 2021 English Publisher:Zenodo

Authors: Ganshorn, Heather; Premji, Zahra; Ronksley, Paul E.;

doi: 10.5281/zenodo.7786940 , 10.5281/zenodo.4663433 , 10.5281/zenodo.7782504 , 10.5281/zenodo.4663434

Data Management Plan Template: Systematic Reviews

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Abstract

This template provides general guidance for those who are undertaking systematic reviews. It is suggested that different team members contribute to the DMP based on the stage of the review process in which they will be involved in creating data. For additional guidance and examples, please see the online research guide located at https://libguides.ucalgary.ca/DMPforSR. The PRISMA-P for systematic review protocols is a tool that may help with planning and describing your data management process. It requires you to specify which databases you’ll search, present a draft search strategy, report your inclusion/exclusion criteria, as well as procedures for all stages of your review. This information can be included in various sections of your DMP.

Related Organizations

University of Calgary
Canada

Keywords

reviews, systematic reviews, evidence synthesis, scoping reviews, knowledge synthesis

1 Research products, page 1 of 1

Modèle de plan de gestion des données : Les revues systématiques
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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
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