Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Scilligence's Scientific Data Management System (SDMS) offers a unified data storage platform that can connect with numerous instruments and devices, enabling researchers to quickly and securely access essential information. The automation features of SDMS facilitate the collection of data from scientific tools, equipment, or devices, and the subsequent extraction of metadata into a relational database, which enhances data management efficiency and promotes cost reduction. Our system ensures rigorous version control, comprehensive audit trails, and a detailed history of document changes that comply with prevalent regulatory standards. Furthermore, SDMS not only integrates effortlessly with Scilligence applications but also works harmoniously with laboratory instruments and devices for automated data collection. Additionally, it supports the integration of various other database systems and storage options. To safeguard your intellectual property, we provide robust access management at the site, account, and project levels, ensuring that sensitive information remains protected while facilitating collaborative research efforts. This comprehensive approach to data management ultimately empowers scientists to focus on their research while relying on a secure and efficient data infrastructure.
Description
The purpose of the IA software is to seamlessly gather measurement results straight from the designated testing instrument, present that information to the technician, provide a variety of editing, analysis, and auditing tools, and then transmit the results to the production area or alternative laboratories. Each IA is equipped with a single driver program designed to extract data from any testing device that has an electronic output. Over the past three decades, AcquiData has compiled a comprehensive library of software driver programs suitable for nearly every materials testing instrument currently in operation. Operating within a browser environment, multiple IA programs can function simultaneously on a single PC, allowing different technicians to test various samples at the same time. At the core of the Testream®/CS system lies the Lab Server program, which manages the flow of information into and out of each laboratory within the network. This ensures that all data is processed efficiently and accurately, streamlining the entire testing workflow.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Scilligence
Founded
2010
Country
United States
Website
scilligence.com/scilligence-sdms/
Vendor Details
Company Name
AcquiData
Website
acquidata.com/our-software-products/introduction-to-testreamcs/
Product Features
Scientific Data Management System (SDMS)
Analytics
No
Artificial Intelligence (AI)
No
Audit
No
Centralized Data Repository
No
Collaboration
No
Compliance
No
Data Security
No
ELN Integration
No
LIMS Integration
No
Workflows
No
Product Features
Quality Management
Audit Management
No
Complaint Management
Yes
Compliance Management
No
Corrective and Preventive Actions (CAPA)
Yes
Defect Tracking
No
Document Control
Yes
Equipment Management
Yes
ISO Standards Management
No
Maintenance Management
No
Risk Management
No
Supplier Quality Control
No
Training Management
No
Scientific Data Management System (SDMS)
Analytics
No
Artificial Intelligence (AI)
No
Audit
No
Centralized Data Repository
No
Collaboration
No
Compliance
No
Data Security
No
ELN Integration
No
LIMS Integration
No
Workflows
No