Manage, analyze, visualize your data. Share and publish your data & data lifecycle.
Store, analyze and visualize data • Create interactive figures and figure collections • Collaborate during the entire research data lifecycle • Include entire data lifecycle in your manuscripts • Enable reuse of your data by others • Multiply impact of your research • Implement FAIR data practices
Reduce expenses on data software and hardware infrastructure • Facilitate data management for your employees • Make your organization and employees compliant with (FAIR) data stewardship policies • Improve your public image by promoting transparent, reproducible and open science
Embed interactive charts, figures and underlying data into your journals • Increase the impact of your publications • Implement transparent review process • Align with current and future (FAIR) data stewardship policies • Improve your public image by promoting transparent, reproducible and open science
Don't just publish data. Publish data lifecycle.
Enter or upload your data, organize it and share with group members, or collaborators.
Process data and perform statistical analysis in Excel-like online environment. Or use Python, R or Matlab API to inject data after offline analysis.
Create and style clear, interactive charts that remain permanently linked to the underlying data.
Create publication-quality, data-linked figures in minutes, using online vector editing application. Combine figures into collections.
5. Publish everything
Permanenly link the entire data lifecycle (raw data, analyses, visualizations, figures and collections) to your manuscript. Publish with a single click.