HRI Seminar Series | Covidence’s Data Extraction 2 Tool | Razia Aliani

HRI Seminar Series | Covidence’s Data Extraction 2 Tool | Razia Aliani

🎙 Razia Aliani 👥 76 📅 November 12, 2025 ⏱ 59 min 👁 48 📄 tutorial 🧭 2026-08-16
Available in: English (current) Français

Keywords

CovidenceData ExtractionSystematic ReviewTemplateConsensus

Summary

This webinar, part of the Health Research Institute Seminar Series, provides a comprehensive tutorial on using Covidence’s Data Extraction 2 tool for systematic reviews. The presenter, Razia Aliani, a consultant systematic reviewer at Covidence, begins by explaining the importance of data extraction in the review process and the benefits of using a well-designed extraction form. She then demonstrates how to create and customize a data extraction template within Covidence, covering the six template fields: headings, subheadings, free text, single choice lists, checkboxes, and customizable tables. The session includes a live demonstration using a sample review on the impact of social media use on body image in university students, showing how to set up the template, publish it, and manage the extraction process. Aliani also covers the quality assessment template, the differences between single and dual extraction modes, and the consensus process. Finally, she explains the various export options available for data analysis. The webinar is aimed at researchers and reviewers who want to enhance their skills in using Covidence for data extraction, particularly for qualitative and non-interventional reviews.

178 words

Critical Evaluation

Value of the Information & Strength of the Argument

The webinar provides valuable, practical information for researchers using Covidence for systematic reviews. The presenter demonstrates the tool in a clear, step-by-step manner, using a relevant example (social media and body image) to illustrate the process. The argumentation is solid, grounded in established systematic review methodology, and the presenter offers practical tips for creating effective extraction templates. The session is well-paced and addresses common challenges, such as template iteration and managing changes after data extraction has begun.

Scientific Rigor, Source Quality, Title Accuracy

The content is scientifically rigorous, referencing the Cochrane Handbook for Systematic Reviews of Interventions as a key methodological source. The presenter, an experienced systematic reviewer, provides authoritative guidance. The title accurately reflects the content, which is a focused tutorial on Covidence’s Data Extraction 2 tool. The webinar is well-structured and aligns with best practices in systematic review methodology.

150 words

Title / Content Match

The title accurately reflects the content: a seminar series focused on Covidence's Data Extraction 2 tool.

Quality & Reliability

8/10

The webinar is presented by a consultant systematic reviewer from Covidence, providing an authoritative and practical demonstration of the Data Extraction 2 tool. The content is well-structured, based on established systematic review methodology (e.g., Cochrane Handbook), and includes live demonstrations. Minor limitations include the lack of peer-reviewed sources and the promotional nature of the webinar.

Key Moments

Cited Sources

Concurring Sources

Contribution & Novelties

This webinar provides a practical, step-by-step tutorial on using Covidence’s Data Extraction 2 tool, which is particularly useful for researchers conducting qualitative or non-interventional systematic reviews. The presenter offers insights into template design, customization, and the consensus process, which are not typically covered in introductory materials. The demonstration using a real-world example (social media and body image) makes the content relatable and actionable.

Pour aller plus loin :

  • Covidence Knowledge Base — Official documentation and guides for using Covidence.
  • PRISMA Statement — Guidelines for reporting systematic reviews, relevant for understanding the overall review process.
  • Cochrane Handbook — Comprehensive resource for systematic review methodology, including data extraction.

106 words

Radar Profile

The radar profile shows high scores in quantity and quality of information, indicating a content-rich and reliable tutorial. The technical level is moderately high, suitable for researchers with some familiarity with systematic reviews. The overall reliability is strong, reflecting the presenter's expertise and the use of established methodology.

Reliability 8/10

💬 No comments were provided for analysis.