Automated Research Data Extraction

# Automated Research Data Extraction ## What It Does Automated Research Data Extraction automates the extraction of metadata and variables from academic papers, saving you hours of manual work. This automation helps you focus on high-value tasks, increasing your productivity and research output. With this tool, you can quickly extract relevant data from research papers, making it easier to analyze and build upon existing research. By automating this tedious task, you can accelerate your research workflow. ## Who Needs This As a researcher, you likely spend a significant amount of time manually extracting metadata and variables from academic papers. This can be a tedious and time-consuming task, taking away from the time you could be spending on higher-level tasks like data analysis and interpretation. If you're looking to streamline your research workflow and increase your productivity, Automated Research Data Extraction is the solution for you. ## How It Works — Step by Step 1. You provide a list of academic papers to extract data from, either by uploading a file or pasting in a list of paper titles and URLs. 2. The agent searches for the papers online and retrieves the full text or relevant metadata. 3. The agent analyzes the papers to identify relevant metadata, such as author names, publication dates, and keywords. 4. The agent extracts specific variables from the papers, such as data points, statistics, or research findings. 5. The extracted data is organized into a structured format, making it easy to analyze and use in your research. 6. You receive a report summarizing the extracted metadata and variables, which you can use to inform your research or save for future reference. 7. You can customize the extraction process to focus on specific variables or metadata, tailoring the output to your research needs. 8. The agent saves the extracted data to a file or database, allowing you to easily access and reuse the information. ## What You Get * A report summarizing the extracted metadata and variables from the academic papers * A structured dataset containing the extracted variables, ready for analysis * A list of author names, publication dates, and keywords associated with the papers * A summary of the research findings and data points extracted from the papers * A saved file or database containing the extracted data, for easy access and reuse ## Setup Requirements * A list of academic papers to extract data from (titles, URLs, or DOIs) * An OpenAI API key to enable advanced text analysis capabilities * A Google Drive or Dropbox account to store the extracted data (optional) * A clear specification of the metadata and variables you want to extract ## Pricing $59 one-time *No subscription. Yours to keep and run as many times as you want.*