The ACRES DataExtractor, a cutting-edge, AI-powered data extraction tool under development designed to assist reviewers extract data from reports and publications for evidence synthesis.
The ACRES DataExtractor is a web-based tool that uses artificial intelligence algorithms such as machine learning and natural language processing to automatically extract data of interest from uploaded PDF documents. The tool is integrated with Zotero Reference management software, allowing users to seamlessly import PDF documents from their Zotero libraries.
Why was the ACRES DataExtractor developed?
Data extraction is a time-intensive process in evidence synthesis and evidence-informed decision-making. To address this challenge, we developed the ACRES DataExtractor to reduce the time required for data extraction and improve the quality of the extracted data.
Users can select specific folders, add study variables, and apply filters to identify key data elements. The tool then automatically extracts the data and presents it in a tabular format, allowing for easy export to CSV format.
The ACRES DataExtractor has the potential to revolutionize the data extraction process, saving time and improving the quality of extracted data. This tool will be a valuable resource for researchers, reviewers, and policymakers, enabling them to make informed decisions based on high-quality evidence.
