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Ratings and Reviews 12 Ratings
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What is SRDB.Pro?
Project managers can effectively manage the entire process of systematic reviews through a consolidated platform, which allows for the generation of customized statistics in real-time and provides access to project records whenever necessary, all while benefiting from automated task assignments, confirmations, and reminders to prevent oversight. In contrast to conventional practices, SRDB offers an innovative approach for executing systematic reviews and evaluating data within the pharmaceutical industry, healthcare, and health economics consulting, presenting a more effective and cost-efficient solution no matter the size of the project. This comprehensive software solution encompasses every stage of the systematic review process, from the initial search phase to the final report generation, all within a single software framework. By optimizing workflows, it enhances efficiency, improves accuracy, and promotes greater profitability by reducing the time spent managing and producing reliable reviews and supporting evidence, ultimately revolutionizing the execution of systematic reviews. Furthermore, with its intuitive layout and state-of-the-art functionality, SRDB is poised to redefine industry standards and practices.
What is COSTAQDA?
Highlighted Attributes:
1. Coding: COSTAQDA offers a comprehensive coding platform that empowers researchers to efficiently categorize and tag qualitative data. It accommodates a variety of coding styles, such as descriptive, narrative, in vivo, and emotion coding, making it versatile for different research approaches.
2. Ordering/Organizing: This software allows users to systematically arrange their coded data. Researchers can classify codes into hierarchies, categories, or themes, which is essential for grasping intricate relationships within the data and facilitates more profound analysis.
3. Theme Discovery: COSTAQDA is equipped with sophisticated tools for discovering and extracting themes from coded data. This capability for thematic analysis aids researchers in identifying patterns and insights that are vital for arriving at significant conclusions in qualitative research.
4. Testing Analysis: The platform also features a Testing Analysis component that assists in validating research findings. It offers an Inter-Coder Reliability test based on Cohen's Kappa, which helps ensure consistency and mitigate bias in coding, especially in collaborative research efforts. In addition, this feature enhances the overall reliability of the research process, allowing for more credible outcomes.
Integrations Supported
GitHub
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$80
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
VTS Software
Company Location
United Kingdom
Company Website
www.srdb.pro
Company Facts
Organization Name
Global Centre for Academic Research
Date Founded
2019
Company Location
South Africa
Company Website
www.vleresearch.net
Categories and Features
Task Management
Collaboration
Create Subtasks
Gamification
Gantt Charts
Mobile Access
Percent-Complete Tracking
Progress Tracking
Recurring Tasks
Reporting/Analytics
Spreadsheet View
Task Board View
Task Planning
Task Scheduling
Task Tracking
Time Tracking
To-Do List View
Categories and Features
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis