"As in systematic reviews, scoping review authors should only extract data items that are relevant to the scoping review questions. Therefore, potential data items of interest can be structured around the PCC framework. Further items for data extraction will depend on the purpose and reasoning behind conducting the review. For example, the individual items could be related to the study design, such as whether it was a randomized controlled trial (RCT); the methods used for conduct; and outcome measurement approaches. Alternatively, it could include definitions, statements, or arguments surrounding a concept. It could be interventions studied, their application, dose, duration, and frequency."
Source: Recommendations for the extraction, analysis, and presentation of results in scoping reviews
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Covidence: allows you to create and publish a data extraction template with text fields, single choice items, section headings and subheadings, perform dual reviewer data extraction, review extractions for consensus and export data extracted to a csv file.
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Spreadsheets or Database Software (Excel or Google Sheets):
Spreadsheets or database software can be used to create custom extraction forms. Spreadsheet software (such as Microsoft Excel) has functions such as drop-down menus and range checks, which can perform data collection efficiently and help to prevent data entry errors.
Survey or Form Software (Qualtrics, Poll Everywhere, or Google Forms)
These tools allow the reviewers to create custom forms with a variety of question types to collect data in a standardized format