Data extraction is a central component of a systematic review. Data collected and organized is then analyzed to arrive at conclusions, recommendations, and rejection or support of a theory.
A standardized data extraction form can be customized to the nature of the review and enables reviewers to import specific data values and metrics from a range of papers, studies, and qualitative or quantitative reports. Incorporating an efficient data extraction template for systematic review allows conclusions to be inspected, verified, and validated, with summarized data sources and how they have contributed to the review outcomes.
Why Use a Data Extraction Form?
Reviewers recognize that tools for extracting data from a database for systematic reviews solve countless potential problems and inefficiencies:
- Facilitating online collaborations quicker and more easily than juggling large spreadsheets and relying on manual data transcription
- Collating appropriately coded data in one central place or summary enabling reviewers to produce updates or validate the outcomes arrived at
- Publishing new versions of data, with each designated a reference to allow for ongoing data audits or verifications
Options to export data and summary tables using applicable filters, search parameters, or formatting
Other advantages relate to quality control, the ability to swiftly identify possible duplications or conflicts, and applying best practices across repeating data sets.
Systematic Review Data Extraction Form Template
Data extraction forms must be customized to the scope and scale of the review, but a template can ensure style and formatting consistency across reporting, allowing stakeholders and colleagues to compare, contrast, and extract the relevant metrics to arrive at conclusions.
The below template demonstrates how data extraction forms can be sorted into concise fields to allow easy interpretation and amalgamation of the data presented.