Transparency and Reproducibility are key aspects of systematic reviews and meta-analyses. To increase the quality of your review, plan for data management including a method for archiving your data and documents for reference, and for potential updating by yourself or others.
Check out Chapter IV of the Cochrane handbook for more about updating reviews
"The Systematic Review Data Repository (SRDR) is a powerful and easy-to-use tool for the extraction and management of data for systematic review or meta-analysis. It is also an open and searchable archive of systematic reviews and their data."
VT's own data repository. Assistance is available to set up your dataset record. A DOI will be assigned to your record for future referencing. Your records will be preserved and accessible by you and others.
This repository hosts and preserves the scholarly work of Virginia Tech faculty, students, and staff. Materials include: journal articles, books, theses, dissertations, conference papers, slide presentations, technical reports, working papers, administrative documents, videos, images, and more. Assistance is available at firstname.lastname@example.org
For your SR/MA project, you can post supplementary materials (e.g. comprehensive search statements, research logs, data extraction forms, etc.) that go into much greater detail than what can be included in a typical journal article and provide these files as supplementary materials/links to your SR/MA publication.
Cozette Comer, Evidence Synthesis Librarian, Liaison Librarian: Statistics and Computational Modeling & Data Analytics, email@example.com
Kiri DeBose, Head, Veterinary Medicine Library & Liaison to Animal Sciences, firstname.lastname@example.org
Ginny Pannabecker, Liaison Librarian: Biochemistry, Biocomplexity Institute, Biological Sciences, Biomedical Engineering and Mechanics, Neuroscience, and Systems Biology; Director, RCE, email@example.com