Scientific Data Made Easy

We live in an exciting age of unprecedented data growth across all aspects of our lives. The scientific community produces tremendous amounts of structured and unstructured data both in volume, and in a variety of formats. This data evolves at immense speeds. The way this data has been handled in the past is becoming inadequate and obsolete, drastically decreasing productivity.

Science Data Experts is a company that sees a great opportunity to apply its passion for technology and innovation, its experience in building complex systems and its ability to find talented experts to the goal of helping scientists both connect with the data they need and gain powerful insights for productivity growth. We work in a number of domains including bioinformatics, spectroscopy, cheminformatics and statistical data collection, processing and management, data analytics and data driven solutions. We specialize in enterprise- level solutions that leverage the power of cloud computing to solve various data science problems.

VISION

Data Preservation
and Security

Provide an easy and secure way to store data
Handle any amount of data
Enable flexible and intelligent data workflows

Data Transformation
and Curation

Domain-specific processing
Machine learning algorithms to pre-process either structured or unstructured data
Validation and visualization
Collaborative curation

Data Discovery, Sharing,
and Analytics

Make more data available on submission processes, guidelines and templates
Allow researchers to gain greater insight into data content, data origins and interconnections
Create intelligent analytical models to extract the most relevant information from data

PROJECTS

Open Science Data Repository

Open Science Data Repository (OSDR) is a platform focused on scientific data management

Various domain-specific data types supported
Integration with social networks and cloud drives
Real-time data deposition and processing
Microservice-based architecture
Integration with machine learning tools

Electronic Laboratory Notebook

Open source
Flexible workflows, tailored to your organization or laboratory
Custom screen constructor
Support for various file formats
Audit trail

Machine Learning

Simple and efficient APIs for machine learning model training
Compare machine learning algorithms
Predict biological activities, physicochemical properties, and other processes
Utilize pre-built algorithms, including: Support Vector Machines, Naïve Bayesian, k-Nearest Neighbors, Random Forest, Boosted Decision Trees, Logistic Regression, Deep Neural Networks
Share trained models with others