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Description
Arxspan's Electronic Lab Notebook offers a comprehensive cloud-based platform dedicated to the management of scientific data, effectively merging chemistry and biology information into a singular cohesive system. This innovative tool is meticulously crafted to foster collaboration in research between internal teams and external collaborators. It provides streamlined support for conducting chemistry and biology experiments and workflows all within a unified cloud-based ELN. Users benefit from advanced features such as keyword and chemical searching, alongside the convenience of attachment and in-line editing for various file types, including Microsoft Office documents, images, and instrument outputs. By utilizing the secure and private Arxspan Cloud environment, organizations can avoid the high costs associated with hardware procurement, ongoing maintenance, and IT management. The platform also features seamless integration with existing legacy electronic laboratory notebook systems, allowing for easy data migration. Users are afforded the flexibility to share views and contributions at both the notebook and project levels, further enhancing collaborative efforts. Additionally, Arxspan provides customizable user role and permission hierarchies, along with workflows for experiment signing and witnessing, ensuring compliance and accountability. The inclusion of SAFE BioPharma compatibility adds multi-factor authentication capabilities, enhancing security. Furthermore, the platform supports system validation and the management of system updates, ensuring that users remain compliant with industry standards and regulations. This holistic approach makes Arxspan's Electronic Lab Notebook a powerful asset for any research organization aiming to modernize its data management practices.
Description
Streamline your data collection methods by establishing standardized operational procedures. Combine manual lab techniques with automated instruments to enhance efficiency. Facilitate smoother collaborations by providing your partners and service providers with the necessary data to perform their tasks effectively. Boost the consistency of your processes through comprehensive standardization. Assess reproducibility by analyzing multiple iterations of identical operations. Amplify the statistical significance of your experiments by generating additional data points and minimizing errors in experimentation. This heightened statistical power distinguishes robust scientific findings from mere anecdotal evidence. Solid scientific outcomes contribute to stronger patent submissions, more impactful publications, and faster innovation of superior products. Utilize the lab's dashboard to monitor ongoing projects, manage your to-do list, and prioritize outstanding requests, ensuring a well-organized workflow. Ultimately, adopting these strategies will not only enhance productivity but also foster a culture of continuous improvement within the lab environment.
API Access
Has API
API Access
Has API
Integrations
Microsoft 365
Signals Notebook
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$2,995 one-time payment
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
Arxspan
Country
United States
Website
www.arxspan.com
Vendor Details
Company Name
GenoFAB
Founded
2019
Country
United States
Website
www.genofab.com
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