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Data lifecycle & publishing

Collaborative platform for management, analysis, visualization and publishing of (research) data

Import, organize and share your data

Import, organize and share your data

Organize your data, images, figures and collections in safe cloud environment. Access it and work from anywhere.

Analyze your data

Analyze your data

Analyze your data with dozens of statistical functions, built right into the data grid, using familiar Excel-like formulas.

Integrate with Python, R or Matlab workflows

Integrate with Python, R or Matlab workflows

Use advanced data analysis environments such as Python, R or Matlab and upload results and visualizations via API.

Make beautiful, interactive charts

Make beautiful, interactive charts

Powered by plotly.js, FiglinQ allows you to quickly create clear, beautiful, interactive charts.

Design press-quality figures and collections

Design press-quality figures and collections

Effortlessly create interactive, data-connected figures and figure collections using online vector-graphics editors. Export to multiple file formats at press quality

Create smart manuscripts and reports

Create smart manuscripts and reports

Embed interactive charts, figures and underlying data right into your smart publications and reports and publish them in seconds.

Collaborate and share

Collaborate and share

Work together with your colleagues and collaborators. Share your data and plots with whomever you want, on and off-line.

Make your data lifecycle FA(i)R*

Make your data lifecycle FA(i)R*

Publish your data together with manuscripts. Make data automatically findable, accessible and reusable. *Data interoperability will follow.

FAIR data lifecycle

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!

Powered by Plotly

FiglinQ is built on mature and secure technology - plotly.js (popular charting library), and Chart Studio (leading online chart editor), used and loved by millions worldwide.