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Adding content ​

To add new content (dataset) to the My Content dashboard, select one of the two + Add Content buttons: one located in the top-right corner of the interface and the other positioned next to your datasets.

By using the documents and papers from our curated list of Integrated Collections:

  • Research Papers: A collection of freely available, peer-reviewed scientific publications covering various disciplines, ensuring broad access to cutting-edge research (selected by default).
  • Research Funding Applications: A repository of past and current grant proposals and funding applications, offering visibility into research priorities, awarded projects, and funding trends.
  • US Patents: A database of granted patents and applications from the United States Patent and Trademark Office (USPTO), providing insights into technological innovations and intellectual property trends.

In order to parse your .PDF, .DOC, .DOCX, .PPTX, .TXT, .HTML, .XLSX, .XLS collection, please provide a link to our Cloud Connect integration service:

  • For Google Drive, share the folder with noreply@iris.ai and create a link with a sharing option: “Anyone with the link can view”
    • For Dropbox make sure sharing of the folder is unrestricted

When parsing documents through our cloud provider integrations (Google Drive and Dropbox), the following constraints apply:

  • Document and Volume size
    • Maximum number of documents: 10000
    • Average document length: Approximately 5 pages per document
    • Total file size limit: Must not exceed 5GB
  • Best Practices & Recommendations
    • For optimal performance, consider batch processing if dealing with large document sets.
    • If you encounter issues, contact support@iris.ai for assistance with optimizing document parsing.

You can utilize the References Import feature to parse reference collections from external reference management tools or from files stored locally on your computer:

  • By uploading a file (.csv, .bib, .nbib, .ris, .xml) with a max file size of 100 MB.
    • RSpace™ does not support .xls files within file collections for the time being. To ensure compatibility with RSpace™, users should convert .xls files into a supported format. Specifically, transform the .xls file into a tab-delimited .csv file (using \t as the delimiter), which can then be utilized within RSpace.