Manage, analyze, visualize your data. Share and publish your data & data lifecycle.
For researchers
Deposit, analyze and visualize data • Create interactive figures and figure collections • Organize and manage everything in a single location • Publish everything together with your manuscripts • Collaborate in all stages of data lifecycle • Enable reuse of your data by others • Increase impact of your research • Implement FAIR data practices
For Institutions
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
For publishers
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.
1. Upload
Enter or upload your data, organize it and share with group members, or collaborators.
2. Analyze
Process data and perform statistical analysis in Excel-like online environment. Or use Python, R or Matlab API to inject data after offline analysis.
3. Visualize
Create and style clear, interactive charts that remain permanently linked to the underlying data.
4. Combine
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.
Make your research data workflows FAIR
Findability
The ability to find published data determines whether it can be accessed and reused. With Figlinq, not only data but the entire data lifecycle can be easily discovered through direct links embedded in smart manuscripts, as well as through our data search engine.
Accessibility
Data lifecycle executed in our platform can be accessed directly through our application or via the web API. Such accessibility contributes to transparent, reproducible and open science.
Reusability
Data reuse multiplies the speed of progress across scientific disciplines. Data published using Figlinq is permanently connected to visualizations, figures and manuscripts/reports, ensuring reusability by human and machine consumers.
Interoperability
Making the data lifecycle fully interoperable is our core mission. We will achieve this goal by developing AI algorithms to automatically generate the required metadata and API to provide scalable access. Stay tuned!