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What is Scilligence SDMS?

Scilligence's Scientific Data Management System (SDMS) provides a cohesive platform for data storage that connects seamlessly with a variety of instruments and devices, allowing researchers to swiftly and securely gather vital information. The system's automation capabilities streamline the process of data collection from scientific tools, facilitating the extraction of metadata into a relational database, which significantly boosts data management efficiency and reduces costs. Our platform is designed to maintain strict version control, comprehensive audit trails, and a thorough history of document alterations, ensuring compliance with current regulatory requirements. Moreover, SDMS integrates smoothly not only with Scilligence applications but also with laboratory instruments for automated data handling. It also accommodates various database systems and storage solutions, enhancing its versatility. To protect your intellectual property effectively, we implement robust access management at multiple levels including site, account, and project, ensuring that confidential information is secured while promoting collaborative research. This thorough approach to data management ultimately allows scientists to dedicate more time to their research endeavors, relying on a dependable and effective data infrastructure. Additionally, the platform's user-friendly interface further simplifies the data management process, making it accessible to users with varying levels of technical expertise.

What is Logilab SDMS?

Logilab SDMS stands out as a trusted and established Scientific Data Management System capable of capturing data from any analytical instrument, regardless of type, make, or manufacturer, thus proving to be an adaptable asset for scientific research and experimentation. This robust system facilitates the secure capture and archiving of both instrument data and metadata on a dedicated server, creating a centralized repository that serves as the definitive source for all scientific data. Specifically designed for the efficient capture, cataloging, and archiving of raw instrument data and files along with their metadata, Logilab SDMS employs a tagging system that allows for systematic indexing into catalogs, promoting long-term preservation and ensuring scientific data is accessible whenever required. Moreover, laboratories utilizing Logilab SDMS can approach audits with confidence, knowing that their scientific data is not only organized and archived but also readily available for thorough examination. By streamlining data management processes, Logilab SDMS ultimately enhances the overall efficiency and reliability of scientific research efforts.

Media

Media

Integrations Supported

Logilab ELN
Qualis LIMS

Integrations Supported

Logilab ELN
Qualis LIMS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Scilligence

Date Founded

2010

Company Location

United States

Company Website

scilligence.com/scilligence-sdms/

Company Facts

Organization Name

Agaram Technologies

Date Founded

1998

Company Location

Chennai, India

Company Website

www.agaramtech.com

Categories and Features

Scientific Data Management System (SDMS)

Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows

Categories and Features

Scientific Data Management System (SDMS)

Analytics
Artificial Intelligence (AI)
Audit
Centralized Data Repository
Collaboration
Compliance
Data Security
ELN Integration
LIMS Integration
Workflows

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