Exhibit E _ Data Integration Hub Requirements.xlsx
XLSX spreadsheet 272 KB Posted
- Solicitation number
- PE-63100-NONST-2026-000000096
- Issued by
- Clayton County, Georgia
About this file
Exhibit E: Data Integration Hub Requirements Summary
This is a requirements traceability matrix for Clayton County, Georgia's Integrated Justice Information and Management System Modernization project, specifically detailing functional and technical requirements for an Integration Hub and centralized data repository (TnDR). The document establishes a comprehensive evaluation framework for vendor responses across six primary capability areas: Connectivity & Endpoint Management, Data Ingestion/Mediation & Transformation, Orchestration & Workflow Automation, API & Service Management, Security/Compliance & Governance, and Monitoring/Logging & Exception Handling for the Integration Hub, plus six corresponding areas for the Repository. The matrix contains over 310 integration hub requirements and 99 repository requirements, with the majority designated as "Core" functionality required for initial statewide go-live and the remainder as "Non-Core" functionality to be implemented within three years post-launch. Vendors must respond to each requirement using standardized response codes (O for Out-of-the-Box, N for No, C for Customization, 3 for Third-Party Integration, or F for Future Release) and provide detailed comments explaining how each requirement will be met, including configuration descriptions, implementation complexity levels, and responsible parties for execution.
The requirements matrix establishes strict evaluation and response protocols requiring vendors to insert response codes in designated columns and provide mandatory explanations when selecting codes C, 3, or F or when explicitly requested. Vendors failing to provide required comments receive the lowest evaluation scores. Core requirements encompass critical functionality essential for statewide operations including multi-protocol connectivity (REST, SOAP, SFTP, ETL), event-driven and batch data ingestion with near-real-time processing capabilities, comprehensive security controls aligned with CJIS standards and FedRAMP compliance, role-based access control with both centralized and decentralized administration options, encryption compliance with FIPS 140-3 standards, audit trails and logging for all activities, and operational dashboards for monitoring system health. The solution must support integration with legacy systems and cloud platforms (AWS, Azure, Google Cloud), facilitate data transformation and mapping across disparate court management systems, and accommodate both federated and centralized data storage models. Non-Core requirements include advanced features such as attribute-based access control, machine-learning-driven optimization, immutable log exports, and AI-assisted integration automation. The document specifies that all security controls must comply with NIST SP 800-53, HIPAA for protected health information, ISO 27001 standards, and State of Georgia security policies, with data residency requirements mandating all data remain within the continental United States.
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Other files
| File | Type | Posted |
|---|---|---|
| Exhibit A _ Data and Infrastructure.pdf | ||
| Exhibit G _ JMS Project Gates and Deliverable.pdf | ||
| Attachment B _ JMS Cost Proposal Form.xlsx | XLSX spreadsheet | |
| Exhibit C _ JMS On_Going Support and Training.pdf | ||
| Exhibit F _ JMS Project Management.pdf | ||
| Attachment B _ DIH Cost Proposal Form.xlsx | XLSX spreadsheet | |
| Exhibit D _ JMS Functional Requirements.xlsx | XLSX spreadsheet | |
| 26_24 Integrated Justice Information and Mana.pdf | ||
| Exhibit B _ JMS Technical Requirements.xlsx | XLSX spreadsheet |
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Table of Contents
| Table of Contents |
| Clayton County |
| Integration Hub and Repository - Requirement Traceability Matrix |
| Section Title | Description | Tab |
| Workbook Instructions | Provides instructions to the vendor responding to the matrix. | Instructions |
| Glossary | Provides a set of identified common terms used throughout the requirements matrix for vendor reference. | Glossary |
| Integration Hub Capabilities | Provides a general outline of the solution and solution functionality that the County is seeking for an Integration Hub | Integration Hub Capabilities |
| Repository Capabilities | Provides a general outline of the solution and solution functionality that the County is seeking for a data repository | Repository Capabilities |
| Integration Hub Requirements | Provides line item Functional & Technical Requirements for an Integration Platform (Integration Hub). | Integration Hub Requirements |
| Repository Requirements | Provides line item Functional & Technical Requirements for a Centralized Data Repository (TnDR). | Repository Requirements'!A1 |
Instructions
| Workbook Instructions |
| Offerors are to follow the instructions below to allow a uniform evaluation of the offers. Insert the appropriate response code within the ‘Offeror Response’ column for each requirement. |
| An omitted response will be assumed to be the same as a response code of “N”. |
| Only one (1) response per requirement will be accepted. |
| Offerors must insert an explanation for how a requirement will be met in the Offeror Comment column when responding with a code (i.e., O, N, C, 3, F), or if the requirement explicitly requests the Offeror to provide a comment. If Offerors do not provide a comment when explicitly requested, the requirement will be given the lowest evaluation score. |
| Response Option | Offeror Functionality | Definition | Additional Notes |
| O = OOTB | Functionality provided as standard | The Offeror provides the functionality from its own code base (i.e., ‘out of the box’). Customization of source code is not required. The functionality must be installed and operational at other sites and be able to be demonstrated to Clayton County. Some configurations is acceptable (e.g., the requirement will be met through configuration changes to settings of tables, switches, rules, UI). | For this response option, if specific configuration is required, Offeror must indicate the following in the comments column next to this response: |
1. Description of configuration
2. Party who will perform the work (Offeror or Clayton County)
3. Estimated level of complexity (Very Complex / Somewhat Complex / Not Complex)
| N = No | Functionality not proposed | Not included in the proposed solution. | Assumes that this functionality cannot or will not be custom developed and not anticipated to be in a future release. |
| C = Customization | Functionality provided by the Offeror, but requires customization | The functionality can be accomplished with the Offeror's solution, but some customizing or work around is required. This would include custom code developed to perform specific functions or validations outside the standard code. | For this response option, Offeror must indicate the following in the comments column next to this response: |
1. Description of customization
2. Party who will perform the work (Offeror / Clayton County / Other)
3. Estimated level of complexity (Very Complex / Somewhat Complex / Not Complex)
4. Indicate whether cost of customization is currently factored into proposed pricing.
3 = Third Party Integration Functionality provided, but requires integration with third-party solution The Offeror has established a relationship with a business partner to provide this functionality, which is fully integrated (data, process, application) with the proposed solution. If the proposed solution includes a third party component, the Offeror as the prime must include all initial and on-going costs in its bid. 1. Name of the proposed third-party software package
2. Interface/integration services being proposed, including if it requires customization or custom integration development
3. Indicate if Offeror will procure and manage the third party licenses and services F = Future Release Functionality provided by the Offeror, but in a future release The functionality will be met with a particular feature that is in development. For this response option, Offeror must indicate the following in the comments column next to this response:
1. Explanation of the new feature.
2. Expected date that such a feature will be made available.
3. If the feature will be included within the scope of this project.
O
Glossary
| Glossary of Terms | |
| Matrix Orientation | Definition |
| Capability | The high-level representation of what the solution will need to achieve it's overall goals including the specific functions that users will need to complete their day-to-day operational and technical responsibilities and expectations. |
| ID | An assigned ID number to help organize requirements, for internal purposes only. |
| Level 0 Capability | The high-level overarching, purpose areas that are required to meet the Data Platform needs and expectations. |
| Level 1 Capability | More granular categories identifying the fundamental abilities and/or functions required within Data Platform solution. |
| Requirement | The items indicated in this column are the specific expectations for the future solution. The vendor's response to its solution's ability to meet the items in this column will be scored. |
| Priority | Clayton County's specific expectations for the delivery of the listed requirement. Below includes definition of each of the priority types and delivery expectations. |
| Offeror Response | The vendor/offeror's indication of whether it can meet the listed requirements through the current solution, custom development, third party integration, a future release, or not able to meet the requirement. |
| Offeror Comment | Clarifying comments from the vendor/offeror regarding it's response to being able to meet the Clayton County listed requirements. |
| Prioritization Levels | Definition |
| Core | Functionality that is essential for statewide operations and must be implemented and fully operational by the initial statewide Go-Live date. Core requirements are critical to the baseline functioning of the Integration Hub and Repository. |
| Non-Core | Functionality that, while valuable, is not essential for the initial statewide Go-Live. Non-core requirements are to be implemented within three years following the early adopter Go-Live. These requirements may include advanced features, optimizations, or integrations that support long-term scalability, analytics, or additional stakeholder needs, but their absence at initial launch will not compromise the system’s ability to fulfill its core mission or compliance requirements. Non-core requirements must be prioritized for future phases based on business value and Clayton County feedback. |
| Actors (Roles)/Type of User | Definition |
| Clerk | Official responsible for managing and maintaining court records and documents. The clerk's duties typically include filing legal documents, maintaining case files, managing court schedules, and assisting judges and attorneys with administrative tasks. |
| Filer | A Filer is a person or firm who files documents with the court using eFiling; filers can be attorneys or non-attorneys. |
| Court Administrator | Court employee who performs administrative and clerical duties essential to the proper operation of the business of a court, such as tracking trial dates, keeping records, entering judgments, and issuing process. |
| Corrections Officer | |
| Jail Administrator | |
| Justice Partner | Agencies or agency representatives that work with the Courts (e.g. Law Enforcement, Prosecution Offices, Clayton County, etc.) |
| Judicial Officer | Person with the responsibilities and powers to facilitate, arbitrate, preside over, and make decisions and directions for the application of the law |
| Global Administrator | An administrator who can update configuration settings in the solution that can apply across the solution and all user groups. |
| Jurisdiction Administrator | An administrator who can update configuration settings in the solution that apply to impacted user groups only within a specific jurisdiction (e.g., within a court). |
| Clayton County | Clayton County is inclusive of the Superior, State and Magistrate Courts and the Jail. |
| Public | Members of the general public have access to view filed documents and associated metadata that is deemed publicly available information. |
| User | This term is used when the action can be performed by any user in the system, regardless of role. |
| Actors (Systems) | Definition |
| CMS | A court Case Management Solution or System (CMS) is a comprehensive software application designed to manage and track all information related to the life cycle of legal cases. This system integrates for various functionalities with additional systems to support the administration of justice, ensuring that cases are processed efficiently and effectively from initial filing through to resolution. |
| JMS | |
| Repository | Repository is the Tennessee-specific centralized data repository platform designed to store, and aggregate data from all jurisdictions and their systems. It enables comprehensive data integration, reporting, and analytics, providing a unified view of data. |
| Integration Hub | Integration Hub is a centralized platform or middleware that facilitates the seamless exchange and synchronization of data between disparate systems, applications, and databases. It acts as a central point of control, managing data flows and transformations to ensure that data is consistently and accurately shared across the organization. |
| Data Platform | Refers to the Integration Hub and Repository Combined as a solution. |
| EFM | An Electronic Filing Manager (EFM) is the component of eFiling that accepts electronic documents from filers via EFSPs and direct API integrations, and securely distributes these documents to the appropriate CMS where they can be reviewed and accepted into the CMS of that court by the Clerk. The EFM also serves copies of documents as requested by the filer. |
| EFSP | An Electronic Filing Service Provider (EFSP) is the component of eFiling which provides eFiling services directly to filers. The EFSPs collect filing information from the filers and transmits the filing to the EFM for subsequent distribution to the CMS, for review and approval by the clerk. The vendor is also referred to as the EFSP. |
| Other Terms | Definition |
| Jurisdiction | Generally, the scope of a court's powers, including: the geographic region it covers, and its authority to handle a case based on the case's subject matter and/or the potential dollar amount of damages at stake. |
| Parties | Individuals directly involved with the case at hand. (e.g. The State, Defendant, Plaintiffs, Petitioner, Respondent, Cross-Complainant, etc.) |
| Participants | Individuals connected to or assigned to the case to assist in handling or supporting the matter at hand (e.g. Mediators, Guardians, Court Reporters, Bondsman, etc.) |
| Configuration | Where the user utilizes native tools within the Data Platform to change behavior or features. |
| Customization | Feature or extension or modification of a software feature that requires custom coding. |
| Vendor/Offeror | An entity or individual that submits a proposal to provide technology products and/or services (solutions) in response to this RFP. Term is used interchangeably in this workbook. |
| Integration Hub Level 1 Capabilities | Definition |
| Endpoint Management | Endpoint registration and management with dynamic routing. |
| Protocol Support | Facilitate communication across diverse systems by supporting a variety of standard communication protocols (e.g., HTTPS, SOAP, REST, SFTP). |
| Interface Standardization | Interface standardization and adapter frameworks. |
| Bulk Ingestion | Bulk intake mechanisms (e.g., ETL, scheduled batches). |
| Transactional Ingestion | Process individual event and transaction records in near-real time, with support for event-driven intake. (e.g., transactions as they occur) |
| Schema Evolution | Schema evolution handling for source changes |
| Bulk Export | Execute bulk data exports. |
| Data Mapping & Transformation | Map and transform data between source and target formats without altering source records. |
| Visual Tools | Visual orchestration design tools for modeling workflows. |
| Business Process Management | Integration with Business Process Management (BPM) systems or capable of delivering embedded BPM capabilities. |
| Event-Based Processing | Ingest, route, correlate, and process events, supporting complex event patterns, subscriptions, and enrichment. |
| Transaction Management | Coordinate distributed, long-running transactions using Atomicity, Consistency, Isolation, Durability (ACID) sagas, two-phase commit, and compensation handling. |
| API Gateway | API gateway for centralized API management. |
| Service Registry | Service registry/discovery for internal and external services. |
| Developer Portal | Developer portal and lifecycle management (versioning, rate limiting). |
| IAM Integration | Identity and access management (IAM) integration. |
| Data Protection | Encryption, data masking, and audit trails |
| Policy Management | Policy management, enforcement and compliance monitoring. |
| Real-Time Dashboards | Real-time dashboards and alerts for system performance. |
| Log Management | Centralized log management and analytics. |
| Error Handling | Automated error detection with retry mechanisms and escalation protocols. |
| Repository Level 1 Capabilities | Definition |
| Data Stewardship & Federation | Centralized stewardship of master data, metadata, lifecycle, and enablement across the repository. |
| Schema Design | Schema design and indexing strategies for transactional and analytical workloads. |
| Data Partitioning | Data partitioning and archiving strategies. |
| Backup & Recovery | Backup, recovery, and high-availability configurations. |
| Access Control | IAM, Role-based access control (RBAC) and data masking. |
| Audit Trails | Audit trails and logging for security and compliance. |
| Policy Management | Defines and enforces data governance policies for access, retention, quality, privacy, and compliance. |
| Query Interfaces | Standardized query interfaces to enable integration with third-party reporting and analytics tools (e.g., SQL, REST APIs) |
| Reporting Solutions | Prebuilt and custom reporting solutions. |
| Data Aggregation | Data aggregation and summary views for rapid analytics. |
| Data Validation | Data validation and error checking during ingestion. |
| Quality Assessment | Perform periodic data quality assessments and generate reports without modifying source records. |
| Reconciliation Mechanisms | Reconciliation mechanisms across source systems. |
| Entity Matching | Match records across systems using configurable algorithms (e.g., person, location) |
| Record Merging | Consolidate duplicate records while preserving lineage (e.g., person records). Ability to demerge records as needed. |
| Performance Tuning | Performance tuning with query optimization and indexing best practices. |
| Scalable Architecture | Accommodates growth through flexible methods (e.g., hardware upgrades, virtualization, containerization, or cloud-native scaling). |
| System Monitoring | System monitoring and capacity planning. |
Integration Hub Capabilities
| Level 0 Capability | Level 1 Capabilities |
| 1. Connectivity & Endpoint Management | Manage and secure diverse endpoints and communication channels for internal systems, external parties, and legacy systems. |
| 1.1 Endpoint Management: Endpoint registration and management with dynamic routing. | |
| 1.2 Protocol Support: Facilitate communication across diverse systems by supporting a variety of standard communication protocols (e.g., HTTPS, SOAP, REST, SFTP). | |
| 1.3 Interface Standardization: Interface standardization and adapter frameworks. | |
| 2. Data Ingestion, Mediation & Transformation | Efficiently capture, mediate, and transform data from heterogeneous sources for downstream processing. |
| 2.1 Bulk Ingestion: Bulk intake mechanisms (e.g., ETL, scheduled batches). | |
| 2.2 Transactional Ingestion: Process individual event and transaction records in near-real time, with support for event-driven intake. (e.g., transactions as they occur) | |
| 2.3 Schema Evolution: Schema evolution handling for source changes. | |
| 2.4 Bulk Export: Execute bulk data exports. | |
| 2.5 Data Mapping & Transformation: Map and transform data between source and target formats without altering source records. | |
| 3. Orchestration & Workflow Automation | Facilitate seamless cross-system interactions and business process automation through advanced orchestration tools. |
| 3.1 Visual Tools: Visual orchestration design tools for modeling workflows. | |
| 3.2 Business Process Management: Integration with Business Process Management (BPM) systems or capable of delivering embedded BPM capabilities. | |
| 3.3 Event-Based Processing: Ingest, route, correlate, and process events, supporting complex event patterns, subscriptions, and enrichment. | |
| 3.4 Transaction Management: Coordinate distributed, long-running transactions using Atomicity, Consistency, Isolation, Durability (ACID) sagas, two-phase commit, and compensation handling. | |
| 4. API & Service Management | Centralize and govern all API interactions and service definitions to promote reuse and scalability. |
| 4.1 API Gateway: API gateway for centralized API management. | |
| 4.2 Service Registry: Service registry/discovery for internal and external services. | |
| 4.3 Developer Portal: Developer portal and lifecycle management (versioning, rate limiting). | |
| 5. Security, Compliance & Governance | Implement robust security controls and governance frameworks across all integration flows. |
| 5.1 IAM Integration: Identity and access management (IAM) integration. | |
| 5.2 Data Protection: Encryption, data masking, and audit trails. | |
| 5.3 Policy Management: Policy management, enforcement and compliance monitoring. | |
| 6. Monitoring, Logging & Exception Handling | Ensure the operational health of integration processes through comprehensive monitoring, logging, and proactive error management. |
| 6.1 Real-Time Dashboards: Real-time dashboards and alerts for system performance. | |
| 6.2 Log Management: Centralized log management and analytics. | |
| 6.3 Error Handling: Automated error detection with retry mechanisms and escalation protocols. |
Integration Hub Requirements
| ID | Level 0 Capability | Level 1 Capability | Requirement Description | Priority | Offeror Response | |
| (O | N | C | 3 | F) | Offeror Comment |
(Required when response is C, 3, or F or when relevant)
| 1 | 1. Connectivity & Endpoint Management | 1.1 Endpoint Management | Ability to support connectivity with various endpoints including databases, web services, cloud storage, and on-premises systems. | Core |
| 2 | 1. Connectivity & Endpoint Management | 1.1 Endpoint Management | Ability to configure and manage endpoint connections with support for authentication, authorization, and encryption. | Core |
| 3 | 1. Connectivity & Endpoint Management | 1.1 Endpoint Management | Ability to support dynamic endpoint discovery and connection pooling for optimized performance. | Core |
| 4 | 1. Connectivity & Endpoint Management | 1.1 Endpoint Management | Ability to monitor and log endpoint connectivity status, including connection failures and retries. | Core |
| 5 | 1. Connectivity & Endpoint Management | 1.1 Endpoint Management | Ability to provide a centralized management console for configuring and monitoring endpoint connections. | Core |
| 6 | 1. Connectivity & Endpoint Management | 1.1 Endpoint Management | Ability to integrate master data management processes with other data governance initiatives. | Core |
| 7 | 1. Connectivity & Endpoint Management | 1.1 Endpoint Management | Ability to integrate metadata management with data governance policies and procedures. | Core |
| 8 | 1. Connectivity & Endpoint Management | 1.1 Endpoint Management | Ability to integrate data quality management with other data governance initiatives. | Core |
| 9 | 1. Connectivity & Endpoint Management | 1.1 Endpoint Management | Ability to define and enforce role-based access controls (RBAC) for data access and management. | Core |
| 10 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support multiple integration patterns including batch file transfers, API-based integration (REST/SOAP), message-based integration, event-driven architecture, and service-oriented architecture (SOA). | Core |
| 11 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to interoperate with multiple Integration Hubs (iPaaS, on-premises, and cloud-native tools) to support hybrid and multi-vendor integration strategies. | Core |
| 12 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to configure and manage integration workflows that support both synchronous and asynchronous communication between systems, including retry logic and timeout handling. | Core |
| 13 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes for structured and semi-structured data sources, including scheduling and orchestration of jobs. | Core |
| 14 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support integration with legacy systems using batch, SFTP, or flat file interfaces (e.g., maintaining SFTP connections for legacy CMS) during transitional phases, and to enable API integrations using just-in-time access tokens (no hard-coded secrets). | Core |
| 15 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support integration scenarios where data is replicated based on events or scheduled triggers, with configurable frequency and payload structure. | Core |
| 16 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support integration with third-party systems (e.g., eFiling, probation, parole, law enforcement) using standard protocols and secure data exchange mechanisms (e.g., XML, JSON, ECF 4, working toward ECF 5, and other structured formats as required by external partners). | Core |
| 17 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support integration scenarios that involve composite services, where multiple backend services are orchestrated to fulfill a single business process exposed via APIs. | Core |
| 18 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support integration with statewide and intra-jurisdictional systems using a combination of near real-time APIs and batch interfaces, based on business need and system capability. | Core |
| 19 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support connectivity with legacy systems using custom adapters and connectors. | Core |
| 20 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support connectivity with third-party systems using standard protocols and secure data exchange mechanisms. | Core |
| 21 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support connectivity with cloud-based services such as AWS, Azure, and Google Cloud (e.g., operating in virtual environments or containers within a cloud infrastructure) and to reside on GovCloud, be FedRAMP compliant, and support CJIS requirements. | Core |
| 22 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support connectivity with on-premises systems using secure tunneling and VPN connections. | Core |
| 23 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support message mediation including routing, filtering, and enrichment. | Core |
| 24 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support message transformation using pre-built templates and custom scripts. | Core |
| 25 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support message transformation for both synchronous and asynchronous communication. | Core |
| 26 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support message transformation for both near real-time and batch processing. | Core |
| 27 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support message transformation for both inbound and outbound messages. | Core |
| 28 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support message transformation for both structured and semi-structured data. | Core |
| 29 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support message transformation for both internal and external systems. | Core |
| 30 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support message transformation for both legacy and modern systems. | Core |
| 31 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support workflow automation for both synchronous and asynchronous processes. | Core |
| 32 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support workflow automation for both near real-time and batch processing. | Core |
| 33 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support workflow automation for both inbound and outbound processes. | Core |
| 34 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support workflow automation for both structured and semi-structured data. | Core |
| 35 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support workflow automation for both internal and external systems. | Core |
| 36 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support workflow automation for both legacy and modern systems. | Core |
| 37 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support integration monitoring and logging for both near real-time and batch processes. | Core |
| 38 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support integration monitoring and logging for both inbound and outbound processes. | Core |
| 39 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support integration monitoring and logging for both structured and semi-structured data. | Core |
| 40 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support data stewardship processes, including data validation, cleansing, and enrichment. | Core |
| 41 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support automated metadata capture and updates as data flows through the integration hub. | Core |
| 42 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support data cleansing processes, including duplicate detection and resolution, and to enable manual review and cleansing of court-entered information when clerks make corrections to cases. | Core |
| 43 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support data archiving processes for historical data that must be retained beyond operational use. | Core |
| 44 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support compliance with legal and regulatory requirements for data security and privacy. | Core |
| 45 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support ETL processes for structured and semi-structured data sources, including scheduling and orchestration of jobs. | Core |
| 46 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support Change Data Capture (CDC) for near real-time data synchronization between systems. | Non-Core |
| 47 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support long-term data retention policies and comply with regulatory requirements. | Core |
| 48 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support both federated and centralized data storage models. | Core |
| 49 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support data encryption at rest and in transit (i.e., FIPS 140-3 compliant) to meet FedRAMP and CJIS requirements. | |
| Core | ||||
| 50 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support schema evolution and versioning. | Core |
| 51 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support automated schema migration and rollback. | Core |
| 52 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support data virtualization for accessing data across multiple sources. | Core |
| 53 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support near real-time data updates within dashboards to ensure that users have access to the most current information. | Core |
| 54 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support near real-time data aggregation and trend analysis to provide up-to-date insights into court operations. | Core |
| 55 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support the integration of AI/ML models with court operations to provide advanced insights and recommendations. | Non-Core |
| 56 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support integration of audit trails and usage metrics with court operations, including streaming audit data to external systems and enabling breakout streams based on filters for monitoring system performance and user engagement. | Core |
| 57 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support DevOps practices, including continuous integration and continuous deployment (CI/CD) pipelines, for automated deployment and version control of integration workflows. | Core |
| 58 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support multi-tenancy, allowing multiple jurisdictions or departments to use the platform with isolated data and configurations. | Core |
| 59 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support version control for connectors and recipes, ensuring traceability and rollback capabilities. | Core |
| 60 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support the deployment of connectors and recipes across multiple environments (e.g., development, testing, production) with environment-specific configurations. | Core |
| 61 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support environment-specific configurations and data sets, ensuring consistency and isolation between environments. | Core |
| 62 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support the migration of integration workflows and configurations between environments, ensuring consistency and traceability. | Core |
| 63 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support incremental data migration to minimize downtime and ensure continuous operation. | Core |
| 64 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to provide post-migration support to address any issues and ensure smooth transition. | Core |
| 65 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support customizable retention policies based on jurisdiction-specific requirements. | Core |
| 66 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to provide ongoing support to address any post-migration issues. | Core |
| 67 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support continuous improvement processes to enhance system performance and data integrity. | Core |
| 68 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support customizable user roles and permissions based on jurisdiction-specific requirements. | Core |
| 69 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support industry-standard encryption protocols and algorithms. | Core |
| 70 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support automated tools for managing audit logs. | Core |
| 71 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to provide automated migration utilities and modernization toolkits to facilitate the transition from legacy integration solutions to modern cloud-native or hybrid architectures. | Core |
| 72 | 1. Connectivity & Endpoint Management | 1.2 Protocol Support | Ability to support configurable compliance policies based on jurisdiction-specific requirements. | Core |
| 73 | 1. Connectivity & Endpoint Management | 1.3 Interface Standardization | Ability to present user-friendly interfaces and intuitive design elements to simplify configuration, monitoring, and daily use of the Integration Hub. | Core |
| 74 | 1. Connectivity & Endpoint Management | 1.3 Interface Standardization | Ability to define and enforce interface standards across all integration endpoints (e.g., JSON schema, XML schema). | Core |
| 75 | 1. Connectivity & Endpoint Management | 1.3 Interface Standardization | Ability to use adapter frameworks to normalize communication with legacy systems. | Core |
| 76 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to support ETL (Extract, Transform, Load) processes for structured and semi-structured data sources. | Core |
| 77 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to schedule and automate data ingestion processes. | Core |
| 78 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to ensure data integrity and consistency during archiving and retrieval processes. | Core |
| 79 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to provide secure, isolated staging areas for initial data cleansing and transformation prior to repository load, supporting both net change and full replace ETL processes. | Core |
| 80 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to automate movement of data from staging to production environments based on validation outcomes. | Core |
| 81 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to interoperate with external data ecosystems, including data lakes and lakehouses, using open table formats (e.g., Apache Iceberg, Delta Lake) and SQL query federation. | Core |
| 82 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to read, write, and utilize data stored in open table formats and to integrate with enterprise data lakes and lakehouses using open APIs and connectors. | Core |
| 83 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to perform data validation and cleansing during the ingestion process. | Core |
| 84 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to generate detailed migration reports to track progress and identify issues. | Core |
| 85 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to provide automated migration utilities and modernization toolkits to facilitate the transition from legacy integration solutions to modern cloud-native or hybrid architectures. | Core |
| 86 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to process large volumes of data efficiently, supporting high-throughput and low-latency ingestion for both scheduled and ad hoc bulk loads. | Core |
| 87 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to scale horizontally and vertically to accommodate increasing data volumes and concurrent ingestion workloads. | Core |
| 88 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to detect, log, and report errors encountered during the ingestion process, including data validation failures and system exceptions. | Core |
| 89 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to automatically retry failed ingestion tasks based on configurable policies and to resume from the point of failure without manual intervention. | Core |
| 90 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to provide mechanisms for manual intervention and correction in the event of persistent ingestion errors. | Core |
| 91 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to generate and maintain detailed audit logs capturing all ingestion activities, including user actions, data changes, timestamps, and system events. | Core |
| 92 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to schedule bulk ingestion jobs with flexible timing options, including recurring and one-time executions. | Core |
| 93 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to monitor, pause, resume, and cancel scheduled ingestion jobs as needed. | Core |
| 94 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to ingest data from a wide variety of source systems, including databases, files, APIs, and message queues. | Core |
| 95 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to support ingestion of multiple data formats (e.g., CSV, JSON, XML). | Core |
| 96 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to generate automated notifications and alerts for stakeholders regarding the status of bulk ingestion jobs, including completion, failure, and anomalies. | Core |
| 97 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to provide configurable alerting mechanisms (e.g., email, SMS, dashboard) based on predefined thresholds or events. | Core |
| 98 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to perform pre-migration testing to ensure compatibility and readiness of the new system. | Core |
| 99 | 2. Data Ingestion, Mediation & Transformation | 2.1 Bulk Ingestion | Ability to revert data loads or transactions in bulk if a transaction fails. | Core |
| 100 | 2. Data Ingestion, Mediation & Transformation | 2.2 Transactional Ingestion | Ability to ingest and process individual event or transaction records in near real-time. | Core |
| 101 | 2. Data Ingestion, Mediation & Transformation | 2.2 Transactional Ingestion | Ability to support event-driven intake, triggering downstream processes based on event occurrence. | Core |
| 102 | 2. Data Ingestion, Mediation & Transformation | 2.2 Transactional Ingestion | Ability to provide idempotency controls to prevent duplicate processing of events or transactions. | Core |
| 103 | 2. Data Ingestion, Mediation & Transformation | 2.2 Transactional Ingestion | Ability to audit and trace individual transaction processing for compliance and troubleshooting. | Core |
| 104 | 2. Data Ingestion, Mediation & Transformation | 2.2 Transactional Ingestion | Ability to support Change Data Capture (CDC) for near real-time data synchronization. | Core |
| 105 | 2. Data Ingestion, Mediation & Transformation | 2.2 Transactional Ingestion | Ability to continuously ingest and aggregate streaming data in real time to deliver low-latency operational insights and event-driven analytics. | Core |
| 106 | 2. Data Ingestion, Mediation & Transformation | 2.2 Transactional Ingestion | Ability to ensure idempotency and deduplication for transactional data feeds. | Core |
| 107 | 2. Data Ingestion, Mediation & Transformation | 2.2 Transactional Ingestion | Ability to ingest individual record-level updates in near-real time to maintain transactional consistency. | Core |
| 108 | 2. Data Ingestion, Mediation & Transformation | 2.2 Transactional Ingestion | Ability to support ACID-compliant operations for transactional data ingestion. | Core |
| 109 | 2. Data Ingestion, Mediation & Transformation | 2.2 Transactional Ingestion | Ability to ingest and analyze high-frequency event data in near-real time to identify trends, supporting both operational and ad hoc analytical queries, with optional integration of third-party tools for social media sentiment analysis. | Core |
| 110 | 2. Data Ingestion, Mediation & Transformation | 2.2 Transactional Ingestion | Ability to ensure transactional integrity and support for ACID properties where required. | Core |
| 111 | 2. Data Ingestion, Mediation & Transformation | 2.3 Schema Evolution | Ability to automatically detect and adapt to source data schema changes, handling non-breaking changes without manual intervention per industry best practices. For complex or breaking changes, the system must notify administrators and provide guidance for manual intervention. All manual actions and schema changes must be logged and auditable for compliance. | Core |
| 112 | 2. Data Ingestion, Mediation & Transformation | 2.3 Schema Evolution | Ability to version data schemas and maintain backward compatibility for downstream consumers. | Core |
| 113 | 2. Data Ingestion, Mediation & Transformation | 2.3 Schema Evolution | Ability to notify stakeholders and dependent systems of schema changes through automated alerts. | Core |
| 114 | 2. Data Ingestion, Mediation & Transformation | 2.3 Schema Evolution | Ability to rollback schema changes in case of deployment or compatibility issues. | |
| Core | ||||
| 115 | 2. Data Ingestion, Mediation & Transformation | 2.3 Schema Evolution | Ability to validate schema changes before applying them to production pipelines. | Core |
| 116 | 2. Data Ingestion, Mediation & Transformation | 2.4 Bulk Export | Ability to schedule and execute bulk data exports to downstream systems | Core |
| 117 | 2. Data Ingestion, Mediation & Transformation | 2.4 Bulk Export | Ability to initiate on-demand and scheduled bulk data exports, including self-service exports from a portal, to enable users to pull data as needed (subject to policy decisions). | Core |
| 118 | 2. Data Ingestion, Mediation & Transformation | 2.4 Bulk Export | Ability to export data to a variety of destinations, including external systems, secure file locations, or user download. | Core |
| 119 | 2. Data Ingestion, Mediation & Transformation | 2.4 Bulk Export | Ability to support multiple export file formats (e.g., CSV, JSON, XML) to meet diverse analytic and interoperability needs. | Core |
| 120 | 2. Data Ingestion, Mediation & Transformation | 2.4 Bulk Export | Ability to apply data filters and selection criteria to define the scope and content of each bulk export. | Core |
| 121 | 2. Data Ingestion, Mediation & Transformation | 2.4 Bulk Export | Ability to track and log all bulk export activities for audit and compliance purposes. | Core |
| 122 | 2. Data Ingestion, Mediation & Transformation | 2.4 Bulk Export | Ability to notify stakeholders upon completion, failure, or anomaly detection in bulk export processes. | Core |
| 123 | 2. Data Ingestion, Mediation & Transformation | 2.4 Bulk Export | Ability to monitor and report on the status and performance of bulk export jobs, including success, failure, and processing time. | Core |
| 124 | 2. Data Ingestion, Mediation & Transformation | 2.4 Bulk Export | Ability to resume or recover interrupted or failed bulk export jobs without data loss or duplication. | Core |
| 125 | 2. Data Ingestion, Mediation & Transformation | 2.4 Bulk Export | Ability to configure export formats and destinations for bulk data transfers. | Core |
| 126 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to define and manage publish-subscribe models for event-based data exchanges, enabling near real-time or near-near real-time updates across systems. | Core |
| 127 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to define integration patterns that are reusable across jurisdictions and systems, with configurable templates and mapping logic. | Core |
| 128 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to send data to external systems (including AI/ML engines) and provide end-to-end controls for managing, disabling, or auditing data sharing. | Core |
| 129 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide pre-built adapters for common systems such as SQL databases, REST APIs, SOAP services, and file-based systems. | Core |
| 130 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to apply business rules and validation logic during message transformation. | Core |
| 131 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to perform optical character recognition (OCR) on unstructured documents and apply ML-based classification to standardize and structure data within integration pipelines (i.e. turning unstructured documents into structured data). | Core |
| 132 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to leverage large datasets or streaming data with complex (human- or AI-based) rules to automate decision points within workflows. | Core |
| 133 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to establish and maintain a single, authoritative source of master data for key entities such as parties, cases, and court locations (e.g., leveraging Master Party Management to link person records across cases, CMS, and jurisdictions). | Core |
| 134 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to perform data validation during data ingestion and transformation processes. | Core |
| 135 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide data transformation capabilities during data ingestion. | Core |
| 136 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide virtual views for accessing data without physical movement. | Core |
| 137 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to support data virtualization for near real-time data access. | Core |
| 138 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to operate on data distributed across multiple cloud and on-premises environments as a single, federated data source. | Core |
| 139 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to manage data hierarchies and relationships between master data entities. | Core |
| 140 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide audit trails and versioning for changes to master data. | Core |
| 141 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to create and maintain a metadata repository that documents data definitions, data lineage, and data usage. | Core |
| 142 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide tools for data discovery and data cataloging, enabling users to search and understand available data assets. | Core |
| 143 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide data lineage visualization tools to track data origins, transformations, and destinations. | Core |
| 144 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to define and enforce data quality rules and validation checks across all integrated systems (e.g., Date of Birth must be in the past, CaseID must be in the format established by AOC), and to generate exception reports for any data that fails validation and/or quality checks. | Core |
| 145 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide automated data profiling and data quality assessment tools. | Core |
| 146 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide data quality dashboards and reporting tools to monitor data quality metrics. | Core |
| 147 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to define and enforce data retention policies based on legal and regulatory requirements. | Core |
| 148 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to automate data purging processes based on configurable retention schedules, including support for expungements, hard deletes (permanent removal of records), and soft deletes (logical deletion where records are excluded from queries but retained in the database). | Core |
| 149 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide audit trails and reporting tools for data retention and purging activities. | Core |
| 150 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to integrate data retention policies with other data governance initiatives. | Core |
| 151 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide encryption for data at rest and in transit. | Core |
| 152 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide audit trails and reporting tools for data access and security activities. | Core |
| 153 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to integrate data security policies with other data governance initiatives. | Core |
| 154 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to ingest data from various sources including databases, flat files, APIs, and message queues. | Core |
| 155 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to handle large volumes of data efficiently and scale horizontally as needed. | Core |
| 156 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to archive historical data in a secure and retrievable manner. | Core |
| 157 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to retrieve archived data based on various criteria (e.g., date range, case type, jurisdiction). | Core |
| 158 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to ensure data integrity and consistency during the archiving and retrieval processes. | Core |
| 159 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide audit trails for data archiving and retrieval activities. | Core |
| 160 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to manage data storage across multiple jurisdictions and systems. | Core |
| 161 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to ensure data consistency and integrity across federated and centralized storage models. | Core |
| 162 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to manage data models and schemas for various data sources (e.g., CMS, eFiling, law enforcement systems), including the capability for vendors to standardize and provide specific fields (e.g., "record No.") in a consistent format to enable process efficiency and reduce reliance on manual workstreams. | Core |
| 163 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to provide tools for data modeling and schema design (e.g., visual schema editors, entity-relationship diagramming, schema version control). | Core |
| 164 | 2. Data Ingestion, Mediation & Transformation | 2.5 Data Mapping & Transformation | Ability to ensure data integrity and consistency during schema changes. | Core |
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File details come from the government source that posted it. Updated .