GITNUXSOFTWARE REVIEW
Aerospace DefenseTop 10 Best Protective Relay Software of 2026
Compare protective relay software options with notes on fit for utilities and engineers, covering key features and tradeoffs for shortlisting.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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Kafka is the best overall pick for teams that must integrate protective relay telemetry and settings into replayable event streams because its log-based replication with configurable retention preserves long-lived relay history reliably, while GE Vernova Relion engineering tools fits engineering groups needing schema-driven, API-aligned settings provisioning to reduce translation errors.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Kafka
Log-based replication with configurable retention and compaction supports long-lived relay event and state history.
Best for: Fits when protective relay telemetry and setting changes must be integrated with replayable event streams.
GE Vernova Relion engineering tools
Editor pickSchema-based protective relay settings provisioning with API-aligned configuration exchange.
Best for: Fits when engineering teams need governed, repeatable protective relay provisioning via schema-aligned automation.
MATLAB Simulink for Protection Logic
Editor pickSimulink-to-code generation from protection logic models with timing and behavior verification.
Best for: Fits when teams need model-driven protection logic with strong simulation-to-artifact control.
Comparison Table
Kafka
integration backboneApache Kafka supports event-driven data integration pipelines used to automate protective relay configuration and status distribution.
Log-based replication with configurable retention and compaction supports long-lived relay event and state history.
Kafka fits teams building event-driven protective relay pipelines where integration depth matters more than UI workflows. Kafka provides a durable commit log data model using topics, partitions, and offsets, which shapes how relay telemetry, settings changes, and alarms are represented and replayed.
Strong extensibility comes from client libraries, connect APIs, and streaming processing integrations that enable schema evolution and automated routing. Admin and governance rely on broker-side authorization, structured audit logging, and operational controls for quota, retention, and ACL provisioning.
- +Topic partitions with ordered offsets support deterministic replay of relay events
- +Schema evolution via schema registry integrations reduces breaking changes across producers
- +Client libraries and Connect APIs cover many ingestion and transformation patterns
- +Retention and compaction settings support event retention and settings history modeling
- –No built-in protective-relay logic requires separate automation and validation services
- –Operational tuning for throughput and latency demands Kafka expertise
- –RBAC granularity depends on broker authorization configuration and ACL hygiene
- –Schema and message contracts require governance to prevent producer drift
Best for: Fits when protective relay telemetry and setting changes must be integrated with replayable event streams.
GE Vernova Relion engineering tools
vendor protection toolsGE Vernova supplies engineering and connectivity tooling for protective relays that supports relay configuration and data exchange with automation infrastructure.
Schema-based protective relay settings provisioning with API-aligned configuration exchange.
GE Vernova Relion engineering tools map relay configuration into a consistent settings schema that supports provisioning from engineering artifacts to devices. The engineering workflow includes configuration validation steps that reduce manual translation between study outputs and relay settings. Integration depth tends to show up through consistent object models for protection elements, IO points, and communication parameters, plus export and import paths for interoperability.
A key tradeoff is that automation and extensibility are strongest when changes follow the tool’s settings data model and supported schema objects. Teams that need frequent ad hoc edits outside the supported configuration graph may face extra rework using the engineering schema. A strong usage situation is multi-bay commissioning where standardized templates and controlled provisioning need audit-ready traceability across recurring relay types.
- +Schema-driven settings model reduces translation errors across relay types
- +Provisioning and export workflows support repeatable engineering handoffs
- +Automation via API enables controlled configuration exchange and testing
- +Governance features support RBAC-aligned review and audit trails
- –Automation is constrained to supported schema objects and workflows
- –Ad hoc configuration changes may require template refactoring
Protection engineering teams
Standardize relay settings across bays
Fewer manual re-entry errors
Substation delivery organizations
Provision settings with audit traceability
Improved commissioning accountability
Show 2 more scenarios
SCADA integration engineers
Synchronize IO and communication parameters
Reduced integration mismatches
Export and import configuration objects to keep IO mappings and messaging parameters consistent.
Automation and tools developers
Automate settings validation flows
Higher throughput engineering loops
Use the API surface to run configuration exchange and validation steps in a controlled pipeline.
Best for: Fits when engineering teams need governed, repeatable protective relay provisioning via schema-aligned automation.
MATLAB Simulink for Protection Logic
logic modelingMathWorks MATLAB and Simulink support protective function logic modeling and automated test harnesses that can drive relay test workflows.
Simulink-to-code generation from protection logic models with timing and behavior verification.
MATLAB Simulink for Protection Logic is distinct for its model-first protection logic workflow that compiles into deterministic execution artifacts. It supports block-based integration of relay functions with simulation, signal conditioning, and timing analysis inside a shared model and data model.
The solution emphasizes configuration and extensibility through Simulink models and code generation paths that can feed automated testing and deployment pipelines. Automation depth centers on reproducible model configuration, traceable requirements links, and interfaces that support external verification flows.
- +Model-first protection logic with traceable requirements links across the design
- +Shared data model supports simulation, testing, and timing checks for relay logic
- +Code generation path supports repeatable execution artifacts from controlled models
- +Extensibility via custom blocks and model libraries for domain-specific logic
- –RBAC, provisioning, and audit logging controls depend on surrounding MATLAB tooling
- –API surface for runtime integration centers on generated artifacts, not a live relay API
- –Throughput tuning relies on model and execution settings rather than a relay policy engine
- –Version and schema governance require disciplined model management and CI practices
Best for: Fits when teams need model-driven protection logic with strong simulation-to-artifact control.
NI VeriStand
real-time test executionNI VeriStand provides automated real-time test execution and data logging used for protective relay validation against simulation or hardware I/O.
Model-driven channel and I/O mapping with scripted configuration for repeatable protection test deployments.
Protective relay software requirements often demand tight integration with test data, logging, and control-room automation, and NI VeriStand is designed for that workflow. NI VeriStand supports model-driven configuration for power system and protection functions, with deterministic execution patterns aligned to real-time test and validation needs.
- +Model-driven configuration maps channels and parameters to protection test signals
- +Real-time execution supports deterministic control loops and signal generation
- +Automation via scripting and APIs supports repeatable provisioning workflows
- +I/O and logging integration supports external monitoring and traceability
- –RBAC and governance controls are less visible than in dedicated orchestration products
- –Protective-relay deployment tasks often require engineering effort
- –Data model complexity increases with multi-module configurations
- –Throughput and latency tuning depends on correct configuration and hardware sizing
Best for: Fits when engineering teams need real-time protective relay validation tied to automated provisioning and logging.
ETAP Protection Relay Studies
protection studiesETAP includes protection and coordination study workflows with configuration outputs that can feed relay setting and review processes.
Relay coordination studies that propagate setting changes through system scenarios and produce tied performance reports.
ETAP Protection Relay Studies provides an engineering workflow for configuring protective relay settings, running coordination studies, and validating protection performance against system scenarios. The data model ties relay elements, protection schemes, and study cases into one configuration space used for reporting and iterative tuning.
- +Study cases keep relay settings and performance results linked to one configuration space
- +Configuration and coordination updates support repeatable iteration across network scenarios
- +ETAP object model maps protection elements to study outputs for audit-ready reporting
- +Scripting-based automation supports batch runs and repeatable configuration changes
- –Automation relies on ETAP-centric scripting workflows instead of a clearly documented public API
- –Automation and provisioning surface feels constrained compared with external schema-first integrations
- –Governance controls like RBAC and audit logs are not surfaced as first-class admin features
- –Integration breadth depends on ETAP workspace alignment rather than cross-tool data contracts
Best for: Fits when protection engineers need coordinated relay studies inside an ETAP-centric workflow.
SEL Engineering Framework
relay engineering suiteSEL tools provide relay engineering workflows and communication access patterns for protective relays used in substation automation contexts.
Role-based access control with audit log coverage for relay configuration changes.
SEL Engineering Framework targets teams that need repeatable relay engineering across sites. The data model links scheme intent to device settings, which reduces manual rework when engineering updates propagate. Automation and API surface support provisioning workflows so settings and documentation can follow the same change process. Governance features include role-based access control and audit log records for administrative actions and configuration changes.
- +Schema-driven data model for settings and scheme alignment
- +API supports provisioning workflows for managed relay configuration
- +RBAC plus audit logs for configuration and administrative changes
- +Extensibility via integration points for engineering automation pipelines
- –Schema alignment work is required for non-SEL engineering conventions
- –Automation setup requires careful configuration mapping before scale
- –High change volume can increase governance overhead for small teams
Protection engineers
Commissioning and settings change control
Fewer manual revisions during commissioning
Engineering operations
Provisioning standardized protection packages
Consistent settings across assets
Show 2 more scenarios
Utilities program managers
Portfolio-wide relay updates
Improved compliance traceability
Manages configuration releases with controlled change paths and records administrative activity for reviews.
System integrators
Integrate protection engineering with CI pipelines
Faster, repeatable configuration delivery
Connects engineering automation into deployment workflows using documented API and extensibility points.
Best for: Fits when engineering teams need governed relay provisioning with documented API integration and auditability.
RTDS Technologies Relay Test Platforms
protection test automationRTDS offers real-time digital test infrastructure used to validate protective relay behavior with automated test execution and I/O integration.
Schema-driven test case provisioning with API access for automation and configuration management.
Protective relay testing workflows in RTDS Technologies Relay Test Platforms center on integration with relay simulation hardware and a configuration-driven test sequence model. The system focuses on deterministic execution, capture and replay of signals, and validation of relay outputs against expected criteria.
- +Hardware-linked relay simulation supports realistic protective relay stimulus and timing
- +API and schema-driven configuration enable automation of test provisioning
- +Data model captures inputs, outputs, and pass criteria for repeatable validation
- +Audit logs and RBAC support governance across shared engineering workspaces
- –Test sequence configuration can require detailed modeling of signal and timing behavior
- –Throughput depends on the simulator hardware and interface configuration
- –Automation coverage is strongest for supported workflow objects and may require custom scripting
Best for: Fits when utilities and labs need API-driven, repeatable protective relay tests with governance controls.
Power System Simulator for Engineers
simulation for protectionPSIM provides power system simulation used for validating protection logic responses and can support automation around scenario runs.
Unified data model linking network elements and protective relay settings for traceable simulation results.
Power System Simulator for Engineers targets protective relay and protection studies by coupling power system models with relay logic simulations. It uses a detailed electrical data model for networks, equipment, and relay settings so results remain traceable to configuration.
- +Shared power-system and protection configuration data model
- +Scriptable simulation setup supports repeatable study runs
- +Deterministic scenarios support regression testing for relay settings
- +Clear mapping between equipment parameters and relay behavior
- –API surface for external orchestration is limited compared with generic simulation hubs
- –Automation often depends on scripting rather than event-driven workflows
- –Governance controls like RBAC and audit logs are not prominent in documentation
- –Throughput scaling for large batch studies requires careful scenario management
Best for: Fits when protection engineers need configurable relay simulations tied to a consistent network model.
Python with OpenTelemetry
observability automationPython-based instrumentation with OpenTelemetry provides an automation and telemetry data surface for relay configuration services that need audit-like traces.
Context propagation with Trace and Span APIs to correlate events across async and distributed work.
Python with OpenTelemetry instruments Python code to emit traces, metrics, and logs through a standardized telemetry data model. It provides an API and SDK for context propagation, instrumentation hooks, and exporter configuration to route data to backends.
- +Standardized data model for traces, metrics, and logs
- +Context propagation API supports end to end correlation
- +Exporter configuration supports multiple telemetry backends
- +Extensible instrumentation adds spans, attributes, and metrics
- –Protective relay semantics are not modeled by default
- –Guarding automation and control requires backend governance
- –Throughput depends on exporter, batching, and collector configuration
- –Operational correctness relies on consistent instrumentation coverage
Best for: Fits when telemetry-driven observability and audit trails support relay automation.
Siemens SIPROTEC 4 Communication
vendor relay integrationSiemens provides SIPROTEC 4 relay communication components and engineering access used to integrate relay data models into plant and substation automation systems.
Event and diagnostics data structuring for consistent station monitoring integration.
Siemens SIPROTEC 4 Communication focuses on operational integration of protection relays, mapping relay information into station-consumable objects for monitoring and event handling. The data model groups protection results, measurements, targets, and diagnostics into consistent structures that reduce translation work across clients. Communication and configuration tasks support deterministic handoffs between relay-side settings and OT-side management systems. Automation is practical when an API-driven integration or scripting layer must pull events and write controlled settings without operator re-entry.
- +Strong relay-centric data model for events, targets, and diagnostics
- +Governed configuration exchange between SIPROTEC 4 devices and OT systems
- +Automation-friendly integration surface for polling and event workflows
- +Clear object mapping reduces custom translation across consumers
- –Schema alignment work increases when clients expect nonstandard parameter names
- –Advanced configuration workflows can demand engineering effort to validate changes
Protection engineering teams
Provision relay settings under governance
Fewer configuration errors during updates
Substation automation engineers
Ingest alarms and event logs
Faster fault investigation
Show 2 more scenarios
OT integration teams
Build API-based monitoring adapters
Lower integration maintenance effort
A structured data model supports repeatable mapping into internal schemas and dashboards.
Operations and compliance teams
Enforce RBAC and audit visibility
Clear accountability for changes
Access controls and change auditing support traceable configuration and data retrieval behavior.
Best for: Fits when protection engineers need governed automation of relay settings and event ingestion.
Conclusion
After evaluating 10 protective relay software, Kafka stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Protective Relay Software
This buyer's guide covers Siemens SIPROTEC 4 Communication, GE Vernova Relion engineering tools, SEL Engineering Framework, RTDS Technologies Relay Test Platforms, ETAP Protection Relay Studies, Power System Simulator for Engineers, MATLAB Simulink for Protection Logic, NI VeriStand, Python with OpenTelemetry, and Kafka. It focuses on integration depth, the underlying data model, automation and API surface, and admin and governance controls.
The guide maps each tool to concrete workflows like relay settings provisioning, event and diagnostics ingestion, schema-driven test case provisioning, and configuration change traceability. It also highlights where orchestration depends on an external platform like Python with OpenTelemetry or an event backbone like Kafka.
Protective relay tooling that governs relay settings, events, and validation workflows
Protective Relay Software tools manage relay settings and operational data through a structured data model that connects protection engineering to substation or automation systems. These tools solve relay configuration traceability, repeatable provisioning, event and diagnostics ingestion, and validated behavior via deterministic test or simulation workflows.
Teams use Siemens SIPROTEC 4 Communication when they need a relay-centric event and diagnostics structure aligned to station monitoring integration. Teams use SEL Engineering Framework when governed relay configuration changes must include RBAC and audit log coverage alongside schema-driven settings and scheme alignment.
Evaluation signals for integration depth, data model control, and automation governance
Protective relay tooling is only usable at scale when the data model matches the real relay objects and the automation surface can provision those objects without fragile translation. Integration depth matters most when events, diagnostics, and configuration exports must land in the station or OT systems in consistent structures.
Admin and governance controls become decisive when configuration review requires RBAC plus audit log coverage for relay updates. Automation and API coverage matters most when provisioning must be repeatable, not dependent on manual polling or ad hoc scripting.
Schema-aligned relay settings provisioning and exports
GE Vernova Relion engineering tools use a schema-driven settings model that reduces translation errors across relay types. SEL Engineering Framework also uses a schema-driven data model for settings and scheme alignment to support managed relay configuration.
Event and diagnostics structuring for station monitoring integration
Siemens SIPROTEC 4 Communication structures event and diagnostics data for consistent station monitoring integration. This prevents consumers from needing custom translation for relay targets and diagnostics.
Documented automation and API surfaces for provisioning workflows
SEL Engineering Framework includes an API that supports provisioning workflows for managed relay configuration. RTDS Technologies Relay Test Platforms provides API and schema-driven configuration for automated test provisioning.
RBAC plus audit log coverage for relay configuration changes
SEL Engineering Framework provides role-based access control plus audit logs covering relay configuration and administrative changes. RTDS Technologies Relay Test Platforms also adds audit logging and RBAC for shared engineering workspaces.
Data model coverage for validation artifacts and deterministic test execution
RTDS Technologies Relay Test Platforms captures test inputs, outputs, and pass criteria in a data model that enables deterministic execution and validation. NI VeriStand uses model-driven channel and I/O mapping tied to deterministic real-time execution patterns.
Extensibility mechanisms that support controlled integration pipelines
Kafka supports extensibility through client libraries and Connect APIs while using a durable commit log data model that supports deterministic replay via topics and offsets. Python with OpenTelemetry extends instrumentation via custom spans, attributes, and metrics while relying on backend governance for audit-like traces.
Decision framework for protective relay integration and governed automation
Start by selecting the tool category that matches the integration target. Siemens SIPROTEC 4 Communication is tuned for relay communication integration with event and diagnostics structuring, while ETAP Protection Relay Studies centers on coordinated studies and performance reporting tied to one configuration space.
Then validate the automation and governance path before any workflow build. GE Vernova Relion engineering tools and SEL Engineering Framework emphasize schema-first settings provisioning with API-aligned configuration exchange, while RTDS Technologies Relay Test Platforms and NI VeriStand emphasize deterministic validation with API-driven setup and logging.
Pick the integration endpoint and confirm the tool's data model contract
If the endpoint is station monitoring that consumes relay events and diagnostics, Siemens SIPROTEC 4 Communication aligns structured event and diagnostics data to reduce custom translation. If the endpoint is relay settings provisioning across multiple relays, GE Vernova Relion engineering tools and SEL Engineering Framework provide schema-driven settings models.
Verify automation maturity via an API surface tied to schema objects
If provisioning must run through an automation pipeline, SEL Engineering Framework and RTDS Technologies Relay Test Platforms include API support for provisioning workflows and schema-driven test case configuration. If automation must orchestrate data across async systems, Python with OpenTelemetry exposes Trace and Span APIs for correlation that the backend can govern.
Map governance requirements to RBAC and audit log expectations
For configuration review with traceability, SEL Engineering Framework provides RBAC plus audit log coverage for relay configuration changes. For shared test environments, RTDS Technologies Relay Test Platforms adds audit logs and RBAC for configuration and administration across engineering workspaces.
Align validation workflow needs with deterministic execution and artifact traceability
If validation needs realistic relay stimulus and pass criteria captured in a data model, RTDS Technologies Relay Test Platforms uses hardware-linked relay simulation plus deterministic execution and replay. If validation needs real-time deterministic channel and I/O mapping with scripted setup and logging, NI VeriStand supports model-driven channel and I/O mapping and external monitoring integration.
Choose the integration strategy for study, logic, or event streaming roles
If coordinated studies must propagate setting changes through system scenarios inside a single configuration space, ETAP Protection Relay Studies ties relay settings and performance results to study cases. If the requirement is replayable event integration for relay telemetry and setting changes, Kafka models relay state history with topics, partitions, offsets, and retention controls.
Which engineering and operations teams benefit from each protective relay tooling profile
Different protective relay tooling roles map to different control points in the engineering and validation lifecycle. Integration depth and governance controls typically matter more than UI-driven workflows once multiple relays, schemes, or workspaces become active.
The tool list below maps each best-fit audience to concrete needs like schema-aligned provisioning, governed auditability, deterministic test provisioning, or replayable event streams.
Protection engineers and station integration teams ingesting relay events and diagnostics
Siemens SIPROTEC 4 Communication fits when event ingestion must use a relay-centric structured data model for consistent station monitoring integration and governed configuration exchange.
Engineering teams that need schema-driven, repeatable relay provisioning across multi-relay projects
GE Vernova Relion engineering tools fit when provisioning must be repeatable via templates and configuration exports using a schema-driven settings model with API-aligned configuration exchange. SEL Engineering Framework fits when governance must include RBAC plus audit logs for relay configuration changes.
Utilities and labs that require API-driven, repeatable relay tests with governance
RTDS Technologies Relay Test Platforms fits when deterministic execution and a schema-driven test case model must drive relay simulation hardware with captured pass criteria. NI VeriStand fits when real-time validation must use model-driven channel and I/O mapping with scripted configuration and external logging.
Protection studies workflows focused on coordination and audit-ready performance reporting
ETAP Protection Relay Studies fits when relay coordination work must propagate setting changes through system scenarios and produce performance reports tied to study cases in one configuration space.
Teams building event-driven relay automation pipelines and replayable history
Kafka fits when protective relay telemetry and setting changes must integrate through durable, replayable event streams modeled as topics with partitions, ordered offsets, and schema evolution support. Python with OpenTelemetry fits when audit-like traces must be emitted from automation code using Trace and Span APIs that backend governance can control.
Protective Relay Software implementation pitfalls tied to data contracts and governance coverage
Common failures happen when teams assume a generic automation layer can compensate for mismatched relay object schemas or missing governance. Another frequent issue is choosing a validation workflow that does not produce traceable artifacts linked to configuration.
These pitfalls show up repeatedly across tool types when teams do not align integration depth, schema alignment effort, and API coverage to the actual workflow.
Building integrations on non-aligned relay parameter names without a translation strategy
Siemens SIPROTEC 4 Communication requires schema alignment work when clients expect nonstandard parameter names, so integration teams should plan for object mapping rules. GE Vernova Relion engineering tools and SEL Engineering Framework reduce translation errors by using schema-driven settings models.
Assuming automation exists where orchestration depends on templates or ETAP-centric scripting
ETAP Protection Relay Studies focuses automation on ETAP scripting and configuration workflows instead of a clearly documented standalone public API surface. Power System Simulator for Engineers also relies on scriptable setup and deterministic scenario runs, so external orchestration should be designed around those scripting paths.
Skipping RBAC and audit log requirements until late in configuration rollout
SEL Engineering Framework provides RBAC plus audit log coverage for relay configuration changes, so governance should be wired into the workflow early. RTDS Technologies Relay Test Platforms also includes RBAC and audit logging for shared engineering workspaces.
Treating validation results as untracked outputs instead of governed artifacts
RTDS Technologies Relay Test Platforms captures inputs, outputs, and pass criteria in a data model that supports repeatable validation. ETAP Protection Relay Studies ties performance results to study cases, while MATLAB Simulink for Protection Logic ties behavior checks to model artifacts and a code generation path.
How We Selected and Ranked These Tools
We evaluated Siemens SIPROTEC 4 Communication, GE Vernova Relion engineering tools, SEL Engineering Framework, RTDS Technologies Relay Test Platforms, ETAP Protection Relay Studies, Power System Simulator for Engineers, MATLAB Simulink for Protection Logic, NI VeriStand, Python with OpenTelemetry, and Kafka by scoring features, ease of use, and value for the protective relay engineering and validation workflows described in each tool’s reviewed capabilities. Each tool received an overall score that used a weighted average in which features carried the most weight at 40% while ease of use and value each counted for 30%. This criteria-based scoring reflects editorial research grounded in the provided tool capabilities and workflow descriptions rather than lab-based performance testing.
Siemens SIPROTEC 4 Communication separated itself with the highest-rated features profile driven by its event and diagnostics data structuring for consistent station monitoring integration. That capability lifted features and also supported ease of use because clear object mapping reduces custom translation work for relay targets and diagnostics in downstream consumers.
Frequently Asked Questions About Protective Relay Software
Which protective relay tools are best when configuration must stay governed across many relays?
What integration surfaces and APIs exist for relay event and diagnostics ingestion into station or OT systems?
How do teams handle RBAC and audit logging when administrators need control over relay parameters and operational data flows?
What toolchain fits when protective relay settings provisioning must be schema-aligned across environments?
Which options support data migration between relay settings and study artifacts without losing traceability?
How do organizations automate protective relay validation with repeatable test sequences and deterministic execution?
When model-first protection logic is required, which tool supports code generation and timing verification workflows?
Which platform is better suited for unified simulation and relay configuration traceability across network studies?
How should teams add observability for relay automation pipelines using standardized telemetry schemas?
Which tool fits event-driven relay telemetry and setting-change histories that must be replayable and schema-evolvable?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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