Omed BioScience run several large-scale fermentation experiments a day leading to a high amount of time series results.

To accommodate these massive amounts of data, Omed BioScience have written a custom Scifeon data loader, which stores experiment results from each time point as a JSON string.

Afterwards, they use the Scifeon JavaScript API to interact with the database. This allows them to filter and extract data similarly to what can be done with SQL.

The above image shows an example of how to use the Scifeon API to extract data from the database.

Each object in the input list defines a set of search and filtering criteria – the first object finds and returns all database instances where the ID field matches the resultSetID variable.

The second object filters the database instances in the same way, but also performs a slicing operation on the time-series data in each row, returning just two columns and a limited set of rows.


Omed BioScience has customised their Scifeon instance for easy analysis of Fermentation timeline data. The custom elements are shown in the video below.



Scifeon is all about providing scientists with better informatics on a day-to-day basis. It is the next generation of research data management software specifically developed for scientists by scientists. Scifeon is quite simply developed to fit the needs and requirements of the end-users by having four essential elements imbedded in its software DNA

We provide scientists with data management systems and consulting for pharmaceutical and biotech research.

We offer unprecedented agility, flexibility and convenience to make a powerful alternative to Excel as your favorite research data management tool.
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