Name: OneRoster
Author: 1EdTech

Communications Outsourcing

Help Desk

Web and Video Conferencing

Customer Support

Text Editors

Development

Business Intelligence (BI)

Collaboration

Desktop Publishing

Diagramming

Interactive Voice Response (IVR)

Meeting Management

Operational Analytics

Project Portfolio Management

Enterprise

Accounting

Blockchain Payments

Cryptocurrency Mining

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employer of Record (EOR)

HR Management

Payroll

Stock Option Plan Administration

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Archiving

Cloud Storage

Continuous Delivery

Data Fabric

Endpoint Encryption

Enterprise Backup

File Sync and Share

Firewall

Fraud Detection

IT Service Management (ITSM)

Infrastructure Capacity Planning

Integration Platform as a Service (iPaaS)

Network Operating Systems

Network Performance Monitoring

Network Traffic Analysis (NTA)

Network Virtualization

Phishing Detection and Response

Virtual Desktop Infrastructure (VDI)

Voice Recognition

Web Application Firewalls

Web Scraping

Zero Trust Security Solutions

Information Technology

A/B Testing

Ad Serving & Retargeting

Advertising Agency

All-in-One Marketing

Business Card Scanning

Content Management

Digital Experience Platforms (DXP)

Email Marketing

Graphics

Location Intelligence

Marketing Automation

Social Media Management

Survey & Forms Building

Translation

Web Analytics

Marketing

Professional Services Automation

Project Management

Professional Services

Customer Relationship Management (CRM)

Proposal

Sales

Operational Technology (OT) Security

Security

Auto Repair

Camp Management

HIPAA Compliance

Homeowner's Association (HOA) Management

Legal Research

Municipal

Trucking Software

Vertical-Specific

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OneRoster, developed by 1EdTech Consortium, is a standard specification for securely sharing class rosters and related data between a student information system (SIS) and other systems, such as content applications or learning information systems (LMS). This solution enables seamless data transfer, including student and teacher information, course enrollment, and academic scores, between different educational tools and platforms. OneRoster is designed for use in schools and districts of all sizes, ranging from small K-12 institutions to large educational organizations. It is utilized by teachers, technical administrators, school districts, educational publishers, and EdTech companies.

## Key Features

OneRoster offers the following key features:

**Multiple transfer options**: OneRoster supports various transfer options for exchanging data, including spreadsheet-style CSV templates or direct system-to-system data exchange using REST API.

**Secure provisioning of students, teachers, and other authorized system users**: OneRoster ensures secure provisioning of users by facilitating the transfer of student, teacher, and other authorized system user data between systems, ensuring appropriate access to tools and resources.

**Courses and sections data (classes)**: OneRoster enables the transfer of courses and sections data, including information about classes, between systems, allowing for accurate rostering and management of courses and sections across different platforms.

**Optional demographic information**: OneRoster supports the provision of optional demographic information about students, teachers, and other authorized system users, providing a more comprehensive profile of individuals that can be transferred between systems.

**Academic session, semester, and term information**: OneRoster allows for the transfer of academic session, semester, and term information between systems, ensuring the correct association of timeframes and periods with courses and classes.

**School organization information**: OneRoster supports the transfer of school organization information, including details about the school or district, between systems, helping to accurately associate courses and classes with the respective educational institutions.

**Privacy and security via OAUTH 2.0**: OneRoster ensures privacy and security through the use of the widely recognized security protocol, OAUTH 2.0, safeguarding the transfer of data between systems and protecting sensitive information.

**Transmission of formative and summative score information (results)**: OneRoster enables the transmission of formative and summative score information between systems, ensuring the seamless transfer of academic results and accurate tracking and reporting of student performance.

**Association and transmission of learning resources for course and course sections (classes)**: OneRoster facilitates the association and transmission of learning resources for courses and course sections between systems, ensuring that the right resources are available to students and teachers within their respective classes.

**Certification separately for Resources and Results**: OneRoster provides separate certification processes for Resources and Results, ensuring that the transfer of both learning resources and academic results between systems meets the required standards.

**Sort, filter, and field selection support**: OneRoster offers support for sorting, filtering, and selecting specific fields during data transfer, allowing for efficient data management and customization based on the specific needs of the systems involved.

OneRoster is a standard specification for securely sharing class rosters and related data between a student information system (SIS) and any other system, typically a content application or learning information system (LMS), from 1EdTech (formerly known as IMS Global).  The OneRoster standard supports spreadsheet-style (CSV) export-import as well as direct system exchanges using REST API’s. With OneRoster, schools pave the way for digital resources for teaching and learning and eliminate problems before they happen.

Astera Data Pipeline Builder is a no-code solution for designing and automating data pipelines. It allows users to read and write data across various file formats, databases, and applications. Users can execute ETL and ELT pipelines manually, schedule automated reruns, or integrate them into broader data management processes.

Centerprise Enterprise

Boomi is a cloud-based, on-premise, or hybrid integration platform. It offers a low-code/no-code
interface with the capacity for API and EDI connections for integrating with external organizations and
systems, as well as compliance with data protection regulations.

Boomi

OneRoster

Data integration involves combining data residing in different sources and providing users with a unified view of these data.

Data Integration

OneRoster Demo

1EdTech

Data Source Connection

Ability to connect to multiple data sources

Connect to traditional data sources

Ability to connect to traditional data sources like relational databases, flat files, XML files and packaged applications

Connecto to Big Data and NoSQL

Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases

Data Transformations

Data transformations include calculations, search and replace, data normalization and data parsing

Simple transformations

Simple data transformations are calculations, data type conversions, aggregations and search and replace operations

Complex transformations

Complex data transformations are data normalization, advanced data parsing, etc.

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

Data model creation

Ability to create and maintain data models using a graphical tool to define relationships between data

Metadata management

Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management

Business rules and workflow

Ability to define and manage business rules and workflows

Collaboration is enabled by a shared repository of project information and metadata

Testing and debugging

Tool to debug and tune for optimal performance

Data Governance

Data governance is the practise of implementing policies defining effective use of an organization's data assets

Integration with data quality tools

Integration with tools for cleansing, parsing and normalizing data according to business rules

Integration with MDM tools

Integration with master data management tools to ensure data consistency across the organization

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OneRoster

Overview

What is OneRoster?