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Average Ratings 0 Ratings
Description
Information such as instrument configurations, the most recent service date, the analyst's identity, and the duration of the experiment is currently not recorded. This results in the loss of raw data, making it nearly impossible to alter or rerun analyses without significant effort, and the absence of traceability complicates meta-analyses. The process of simply entering primary analysis outcomes can become a burden that hinders scientists’ efficiency. However, by storing raw data in the cloud and automating the analytical processes, we ensure traceability throughout. Subsequently, this data can be integrated into various platforms such as ELNs, LIMS, Excel, analysis applications, and pipelines. Moreover, we continuously develop a data lake that accumulates all this information. This means that all your raw data, processed results, metadata, and even the internal data from connected applications are securely preserved forever within a unified cloud data lake. Analyses can be executed automatically, and metadata can be appended without manual input. Additionally, results can be seamlessly transmitted to any application or pipeline, and even back to the instruments for enhanced control, thereby streamlining the entire research process. This innovative approach not only increases efficiency but also significantly improves data management.
Description
ScienceDesk's data automation simplifies the integration of artificial intelligence within the field of materials science. This tool serves as a practical solution for teams to consistently implement and utilize the latest AI algorithms in their daily workflows. It features customizable attributes, universal identifiers, QR codes, and a robust search engine that connects sample data with experimental results. As a groundbreaking platform, ScienceDesk facilitates collaboration among scientists and engineers, allowing them to engage with and glean insights from their experimental findings. However, the full potential of this resource remains untapped due to the diverse data formats and a reliance on specialists to manually retrieve targeted information. The ScienceDesk research data management system addresses this challenge by merging documentation with data analysis within a thoughtfully designed data structure. Our algorithms empower researchers and scientists, granting them comprehensive command over their data. They can not only exchange datasets but also share their analytical expertise, fostering a more collaborative research environment. Overall, ScienceDesk enhances data accessibility and encourages innovative approaches in scientific investigation.
API Access
Has API
API Access
Has API
Integrations
Docker
Elastic Cloud
Flutter
GraphQL
Kubernetes
Microsoft Excel
PostgreSQL
Redis
django CMS
Integrations
Docker
Elastic Cloud
Flutter
GraphQL
Kubernetes
Microsoft Excel
PostgreSQL
Redis
django CMS
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Ganymede
Country
United States
Website
www.ganymede.bio/
Vendor Details
Company Name
ScienceDesk
Country
Germany
Website
sciencedesk.net
Product Features
Medical Lab
Audit Trail
Data Analysis Auditing
Data Security
EMR Interface
Fax Management
Lab Instrument Interface
Multi-Location Printing
Online Instrumentation
Physician Test Panels
Procedure-Based Billing
Sample Tracking
Product Features
LIMS
Audit Trail
Certificates of Analysis
Data Import / Export
Electronic Laboratory Notebook
Inventory Management
Lab Instrument Interface
Reporting & Statistics
Sample Tracking
Specification Management
Workflow Management
Scientific Data Management System (SDMS)
Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows