SurveyJS is a set of four open-source JavaScript libraries that offer the benefits of a tailor-made in-house survey application, while considerably reducing the time and resources needed to deploy the system. These libraries are independent of specific server code or database requirements and seamlessly integrate with popular JavaScript frameworks, including React, Angular, Vue.js, jQuery, Knockout, and more. They are designed to communicate with any server that can handle JSON requests, ensuring compatibility with various server architectures and databases.
The product family is composed of:
- An open-source MIT-licensed rendering library that renders dynamic JSON-based forms in your web application, and collects responses.
- A self-hosted drag & drop form builder that features an integrated CSS-based theme editor and a GUI for conditional rules. It automatically generates JSON definitions (schemas) of your forms in real time.
- PDF Generator, a library that renders SurveyJS surveys and forms as PDF files in a browser;
- The Dashboard library that allows you to simplify survey data analysis with interactive and customizable charts and tables.
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UnForm is a powerful enterprise document management and process automation solution that seamlessly integrates with any application. Our platform-independent, fully browser-based solutions provide the ability to create, deliver, capture, index, route, and store documents from start to finish so that a transaction’s entire life cycle can be accessed with one easy search. Our data extraction and workflow capabilities enable the automation of data entry-intensive processes.
UnForm.Cloud, a hosting service for UnForm Document Management, is a perfect fit for those who are running cloud-based ERP systems or looking for a solution with no hardware to purchase, manage, or maintain. Implementing UnForm has never been easier. Backed by a proven hosting vendor, Oracle, you have the peace of mind knowing your data is safe and secure with well-managed data centers and cross-region backups, ensuring reliable and continues access to your data when you need it.
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TrialStat
When compared to other Electronic Data Capture (EDC) solutions available from companies like MediData, DataTrack, and Omnicomm, TrialStat stands out as the most comprehensive suite of study management tools that can effortlessly integrate with various external data sources, including electronic medical records (EMR), wearable devices, and both clinical and non-clinical information systems. TrialStat presents a cohesive platform that caters to all phases and categories of clinical trials. Our EDC suite is designed with a single sign-on feature and supports multiple tenants, incorporating modules for Randomization, Adjudication, Coding, Safety, Patient Diaries/ePRO, a Vendor Neutral Imaging Archive, an extensive Reporting and Analytics Portal, and tailored Machine Learning applications. With an emphasis on data analysis, TrialStat provides real-time reporting capabilities, on-demand data extracts, and analytics that span a single study, a program, or the entirety of your research portfolio, ensuring that all stakeholders receive pertinent, customized, and timely insights into every facet of study data while pinpointing areas of risk or potential delays. Additionally, the platform’s integration capabilities allow for improved collaboration among research teams, fostering a more efficient and effective trial management experience.
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ShareCRF
In a matter of hours, you can create an eCRF that is just as easy to use and as simple as a paper one. This will help you avoid the most common problems in data collection for Pre-authorisation and post-authorisation studies. When creating an eCRF, make sure you have an EDC that is flexible. This will allow you to adapt to any type of study. The EDC includes a number of monitoring and management tools that will help you save a lot of time and effort in managing and monitoring the study. You should use a valid system that gives trust to the sponsor and allows for the collection of high quality data. Do not wait until the analysis phase to find errors in the data. Otherwise, you will have to chase down investigators to correct them. Avoid making the process of creating an eCRF long and complicated.
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