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Technology Digital MediaTop 10 Best SQL Reporting Software of 2026
Top 10 sql reporting software ranking for SQL data, comparing DevExpress, Telerik, and Crystal Reports on features and costs.
How we ranked these tools
An editor sets the topic, the inclusion criteria, and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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DevExpress Reporting is the best fit when you need scheduled, SQL-driven RDL reports with controlled rendering and server-side distribution, whereas JasperReports works well if you want consistent paginated SQL output and embedded, scheduled delivery for teams.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
DevExpress Reporting
Server-side report scheduling and subscriptions run the same RDL datasets on a managed report server.
Best for: Fits when teams need scheduled, SQL-driven RDL reports with controlled rendering and server-side distribution.
Telerik Reporting
Editor pickServer-driven drill-through interactions link summary pages to parameterized detail reports without reauthoring datasets.
Best for: Fits when SQL teams need paginated report scheduling and consistent exports across on-prem environments.
JasperReports
Editor pickJRXML-based report templates with a deterministic rendering engine for repeatable paginated output across parameters.
Best for: Fits when teams need consistent paginated SQL reports with controlled parameters and scheduled delivery.
Comparison Table
DevExpress Reporting
API-firstReporting suite for building printable and web-delivered reports from SQL and business data sources.
Server-side report scheduling and subscriptions run the same RDL datasets on a managed report server.
DevExpress Reporting centers on RDL report definitions and a structured dataset layer that maps cleanly to stored procedure datasets and parameter sets. On the execution side, the report server renders outputs with pagination control and supports drill-through navigation patterns for end users reviewing operational data. SQL connectivity is handled through supported drivers such as ODBC and JDBC, which helps standardize how datasets are sourced across environments.
A common tradeoff is that high governance and automation typically require deliberate setup across report definitions, data source credentials, and the report server workflow. It is a good fit when teams need repeatable report rendering for regulated documents and scheduled subscriptions, not a browser-first interactive dashboard authoring experience.
- +RDL authoring with predictable pagination and export fidelity
- +Dataset parameters flow into SQL queries for repeatable report runs
- +Report server supports scheduled publishing and managed execution
- +Web delivery keeps drill-through context across paginated layouts
- –Governance setup across data sources and server publishing adds work
- –Interactive analytics needs separate UX design beyond paginated layouts
Operations reporting teams
Run daily inventory PDFs from SQL
Fewer manual exports
Finance reporting analysts
Publish parameterized tax statement reports
Repeatable month-end packs
Show 2 more scenarios
IT reporting platform admins
Standardize data access across environments
Lower integration variance
Supported ODBC and JDBC connectors simplify SQL source uniformity for report servers.
Customer support leads
Enable drill-through for case investigations
Faster root-cause review
Drill-through navigation links paginated views to details for faster triage.
Best for: Fits when teams need scheduled, SQL-driven RDL reports with controlled rendering and server-side distribution.
Telerik Reporting
API-firstDeveloper-focused reporting platform for SQL-backed reports, dashboards, and application embedding.
Server-driven drill-through interactions link summary pages to parameterized detail reports without reauthoring datasets.
Telerik Reporting’s core workflow centers on report definitions that call SQL data sources through configured connections and parameter-driven datasets. It supports report scheduling for recurring output and includes a deployment model that fits on-premises and private network environments. For SQL-based reporting, it also supports stored procedure datasets so report parameters can be passed into database logic rather than composing large dynamic SQL strings in the report layer.
A key tradeoff is that the authoring experience relies on report design practices that map to RDL constructs, so ad-hoc exploration workflows are not its primary strength. Telerik Reporting works well when a team already maintains structured SQL queries and wants standardized report layouts delivered to business users or other systems via scheduled exports.
- +RDL-based design supports consistent report layout across deployments
- +Scheduled report execution supports recurring PDF and XLSX exports
- +Stored procedure datasets support parameter passing into database logic
- +Interactive drill-through navigation helps users investigate detail pages
- –Ad-hoc query building is limited compared with interactive BI tools
- –Report design changes often require rebuild-and-redeploy discipline
- –Complex parameter sets can increase authoring time for datasets
- –Integration to custom portals needs additional server-side wiring
Operations reporting teams
Daily compliance PDFs from SQL
Fewer manual report generation steps
Data platform teams
Stored procedure datasets with parameters
Cleaner report-to-database boundaries
Show 1 more scenario
Internal IT analytics
Private web portal report viewing
Centralized access to paginated outputs
Report server output can be published for authenticated users inside controlled network environments.
Best for: Fits when SQL teams need paginated report scheduling and consistent exports across on-prem environments.
JasperReports
enterpriseReporting engine and server for SQL reports, scheduled delivery, and embedded analytics workflows.
JRXML-based report templates with a deterministic rendering engine for repeatable paginated output across parameters.
JasperReports covers the core reporting path with JRXML templates, parameter-driven dataset queries, and a rendering engine that produces paginated documents. JasperReports Server then provides a web-based report repository, scheduled subscriptions, and hosted report execution behind a report server model. Database access commonly uses JDBC data sources, which helps standardize SQL connectivity in existing environments.
A notable tradeoff is that deep automation and governance frequently require disciplined configuration of report templates, permissions, and scheduled jobs since the system is template-centric. JasperReports fits best when the workload is recurring and document-heavy, such as finance and operations reporting where teams must maintain consistent layout across exports.
- +JRXML templating supports precise pagination control
- +JasperReports Server supports report scheduling and subscriptions
- +JDBC data sources simplify SQL connectivity reuse
- +Export generation supports PDF and XLSX for standardized delivery
- –Template-centric workflows add upfront design effort
- –Complex parameter and query patterns can be hard to govern
- –Interactive analysis features are weaker than dashboard-first tools
- –Operational tuning may be needed for high-volume schedules
Finance reporting teams
Monthly statements from SQL datasets
Fewer layout regressions
Operations analytics teams
Scheduled exception reports for managers
On-time exceptions
Show 2 more scenarios
BI platform admins
Centralized report repository governance
Reduced report sprawl
Server publishing organizes templates and execution through a controlled web-based repository.
Enterprise app teams
Embedded document generation workflows
Reusable reporting components
The report engine supports server-driven rendering for document exports from operational SQL.
Best for: Fits when teams need consistent paginated SQL reports with controlled parameters and scheduled delivery.
IBM Cognos Analytics
enterpriseEnterprise analytics software with governed reporting, dashboards, scheduling, and SQL data connectivity.
Cognos semantic layer standardizes metrics and metadata so authors can reuse definitions across paginated reports and dashboards.
IBM Cognos Analytics targets SQL reporting needs with governed authoring, strong formatting controls, and an enterprise reporting server workflow. It connects to relational sources via SQL and driver-based connectors, then renders paginated reports and dashboards with parameterized inputs.
- +Strong governed report authoring with consistent paginated rendering outputs
- +Scheduling supports recurring subscriptions for controlled report delivery
- +Role-based access and audit logging support governance workflows
- +Reusable semantic layer reduces metric duplication across reports
- –Advanced authoring and modeling require careful training and administration
- –Complex parameter cascading can become difficult to troubleshoot at scale
- –Fine-grained data security may add overhead to data refresh and authoring
- –Performance tuning often depends on SQL optimization and modeling discipline
Best for: Fits when enterprise teams need governed SQL reporting with scheduled delivery, RBAC, and reusable metric definitions.
Oracle Analytics Cloud
enterpriseCloud analytics suite for SQL data sources, governed models, dashboards, and enterprise reporting.
Integrated row-level security enforcement across shared datasets and interactive web reports.
Oracle Analytics Cloud produces interactive web dashboards and reports that work against managed data connections and enterprise sources.
- +Strong row-level security for governed analysis across shared datasets
- +Enterprise admin controls for roles, permissions, and environment management
- +Web authoring workflow supports reusable dashboards and guided analysis
- +Extensibility options for programmatic access to metadata and analytics
- –SQL-to-analytics modeling can add setup time before reports perform smoothly
- –Report performance tuning often requires platform expertise and careful data shaping
- –Embedded analytics setup needs deliberate design for authentication and permissions
- –Some advanced paginated report needs push teams toward separate tooling
Best for: Fits when enterprise teams need governed interactive reporting with scheduling and embed-ready deployment.
Microsoft Power BI
enterpriseCloud analytics software that connects to SQL databases and supports interactive reports, dashboards, and scheduled distribution.
Semantic layer reuse across multiple dashboards and reports, combined with row-level security applied at data access time.
Microsoft Power BI fits teams that need interactive SQL reporting with a shared semantic layer and frequent dashboard updates. Power BI connects to many SQL sources through ODBC and other connectors, then models measures and dimensions in Power BI Desktop for reuse in dashboards and paginated-style outputs where configured.
- +Reusable semantic layer reduces duplicate measure logic across reports
- +Scheduled dataset refresh supports recurring SQL reporting without manual runs
- +Row-level security rules restrict results per user group
- +RDL-style paginated reporting supports print and fixed-layout exports
- –Custom SQL logic is limited compared with full script-driven paginated designs
- –Large models can slow authoring and refresh if the data model is not tuned
- –Governance across workspaces requires disciplined workspace and role management
- –Some pixel-perfect layouts need paginated reporting rather than standard visuals
Best for: Fits when interactive SQL dashboards and governed access controls must coexist with occasional fixed-layout exports.
Sigma Computing
enterpriseCloud analytics workspace that uses warehouse SQL data for interactive tables, dashboards, and reports.
Semantic layer governance that standardizes metrics for SQL-backed reports and keeps ad-hoc queries consistent.
Sigma Computing focuses on governed SQL reporting by pairing a semantic layer with embedded analytics in a web experience.
- +Semantic layer reduces repeated SQL and standardizes metrics across teams
- +Report scheduling supports recurring subscriptions without external tooling
- +Web portal publishing streamlines collaboration on saved views and dashboards
- +Export outputs include PDF, CSV, and XLSX for common reporting workflows
- –Advanced formatting control can lag behind dedicated paginated reporting tools
- –Some SQL-specific tuning still requires deeper data model changes
Best for: Fits when teams want governed SQL analytics with scheduled delivery and spreadsheet-friendly exports.
ReportServer
SMBWeb-based reporting platform for paginated reports, dashboards, scheduling, and multiple database systems.
ReportServer provides report scheduling with subscription-style deliveries directly from the server, separate from ad-hoc viewing.
ReportServer is an on-premises SQL reporting solution that centers report publishing from a report server plus a web portal for end-user access. It focuses on paginated reporting workflows with report scheduling, subscriptions, and standard export outputs like PDF, XLSX, and CSV.
- +On-premises report server deployment with web portal access
- +Scheduled runs plus subscriptions support recurring distribution
- +Export outputs include PDF, XLSX, and CSV from stored reports
- +Data source management for consistent SQL connectivity across reports
- –Report authoring workflow depends on external report design assets
- –Role configuration and content permissions need careful administration
- –Advanced UX features like guided dashboards are limited versus report suites
- –Throughput tuning requires deliberate server sizing and SQL planning
Best for: Fits when teams need controlled, scheduled SQL report publishing on-premises for recurring audiences.
Yellowfin
enterpriseBusiness intelligence software with dashboards, report broadcasting, automated signals, and SQL data connectors.
Drill-through report navigation links directly back to the originating dataset for fast investigation.
Yellowfin renders SQL-backed reports through a configurable web report server and supports both paginated and interactive report layouts. It centers report creation around governed metadata connections to multiple data sources, including common SQL connectivity paths.
- +Strong interactive reporting with drill-through navigation tied to report context
- +Granular controls for who can access reports, data sources, and report artifacts
- +Report scheduling supports recurring delivery to common file and inbox destinations
- +API coverage enables programmatic report publishing and workflow integration
- –Complex parameter interactions can require careful design to avoid user confusion
- –Advanced configuration often needs admin attention for connector and permission alignment
Best for: Fits when teams need governed SQL reporting with interactive drill paths and automated scheduled delivery.
Domo
enterpriseCloud business intelligence platform for connected data, dashboards, alerts, and scheduled reporting.
Domo’s extensibility via REST APIs supports custom automation around dataset ingestion and widget publishing.
Domo is a SQL reporting solution used when SQL users need governed, browser-first dashboards backed by connected data sources. It provides scheduled data refresh and report-style widgets inside a web portal, with interactive filtering that works across shared datasets.
- +Web-native dashboards support interactive drill and filtering across published widgets
- +Scheduling and dataset refresh reduce manual reruns for recurring reporting needs
- +REST API and app extensibility support custom ingestion and reporting workflows
- +Role-based access controls support separation between viewers and data managers
- –Pixel-perfect paginated output is not the primary strength versus report servers
- –Complex parameterized SQL workflows can require additional dataset design discipline
- –Operational monitoring for SQL query performance needs tighter process than BI tools
- –Some advanced report rendering behaviors rely on dataset modeling work upfront
Best for: Fits when SQL teams prioritize governed web dashboards, scheduled refresh, and API-driven integration over paginated publishing.
Conclusion
After evaluating 10 sql reporting software, DevExpress Reporting 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 Sql Reporting Software
SQL reporting software is judged on how reliably it turns parameterized SQL datasets into scheduled, pixel-correct paginated output, with enough admin control to keep access, definitions, and exports consistent. This buyer’s guide covers DevExpress Reporting, Telerik Reporting, Crystal Reports, JasperReports, IBM Cognos Analytics, Oracle Analytics Cloud, Microsoft Power BI, Sigma Computing, ReportServer, Yellowfin, and Domo.
The comparison focuses on integration depth through connectors and APIs, automation and scheduling behavior on report servers, and governance controls such as RBAC, audit-friendly publishing, and row-level security enforcement where the platform supports it. DevExpress Reporting leads the set for server-side scheduling that runs the same RDL datasets on a managed report server.
SQL Reporting Software for paginated delivery, governed parameters, and repeatable exports
SQL reporting software is used to author paginated reports and interactive analytics that run against SQL-backed datasets with parameter-driven queries, stored procedure datasets, or semantic abstractions. Platforms often rely on RDL workflows, JRXML templating, or an enterprise semantic layer to keep rendering deterministic and exports repeatable.
DevExpress Reporting and Telerik Reporting use server-driven delivery for recurring exports, with DevExpress emphasizing server-side report scheduling and subscriptions over managed rendering. IBM Cognos Analytics and Oracle Analytics Cloud add governance through reusable metrics and integrated row-level security across shared datasets, which changes how teams author and troubleshoot parameter cascading at scale.
Category evaluation: integration, automation, and governance for SQL-backed reporting
SQL reporting software succeeds when scheduled executions produce the same output from the same parameterized dataset, not when reports rely on manual viewing state. The differentiators show up in how each platform schedules report runs, where it renders results, and how it keeps parameters and exports consistent over time.
Governance matters because SQL-backed definitions drift when authors duplicate logic across projects. Tools that add server-side control, reusable metric definitions, and enforced access at query time reduce the operational load of keeping paginated outputs and interactive views aligned.
Server-side scheduling that reuses the same datasets
DevExpress Reporting schedules RDL on a managed report server so recurring runs reuse the same RDL datasets for consistent exports. Telerik Reporting also supports scheduled report execution for recurring PDF and XLSX exports in on-prem deployments.
Drill-through that links summary pages to parameterized detail
Telerik Reporting enables server-driven drill-through interactions that link summary pages to parameterized detail reports without reauthoring datasets. Yellowfin provides drill-through navigation links back to the originating dataset to support investigation within report context.
Deterministic template rendering for paginated output
JasperReports uses JRXML templates with a deterministic rendering engine to keep paginated output repeatable across parameter runs. DevExpress Reporting pairs RDL authoring with predictable pagination and export fidelity for consistent multi-page results.
Reusable semantic definitions for governed metric logic
IBM Cognos Analytics standardizes metrics and metadata in a semantic layer so authors can reuse definitions across paginated reports and dashboards. Microsoft Power BI and Sigma Computing both emphasize semantic layer reuse to reduce duplicated measure logic across multiple reports.
Row-level security enforcement for shared datasets
Oracle Analytics Cloud enforces integrated row-level security across shared datasets and interactive web reports. Power BI applies row-level security at data access time across a shared semantic layer.
Automation and extensibility for embedding and operational workflows
Domo offers REST APIs for custom automation around dataset ingestion and widget publishing so teams can automate report-adjacent workflows. ReportServer provides a report server deployment with web portal access that supports scheduled runs and subscription-style delivery without relying on an external viewer.
How to choose SQL Reporting Software for governed SQL datasets and repeatable delivery
Start by matching the delivery model to the output people rely on, since SQL reporting teams often need either managed paginated exports or interactive web views with consistent drill paths. DevExpress Reporting and Telerik Reporting optimize for server-side recurring delivery of paginated outputs, while Oracle Analytics Cloud and Power BI prioritize interactive analysis with governance and embedded-ready behavior.
Then validate governance depth for SQL parameters and access control, because fragile parameter cascading and inconsistent permissions create failures during scheduled runs. IBM Cognos Analytics and Oracle Analytics Cloud focus on governed metric definitions and security enforcement, while ReportServer and Yellowfin place more control responsibility on admin configuration and careful parameter design.
Pick the primary output shape for scheduled reporting
If recurring PDFs and XLSX exports must run on a managed server using the same datasets, DevExpress Reporting and Telerik Reporting fit the server-side paginated delivery workflow. If interactive web analysis and embedded experiences drive usage, Oracle Analytics Cloud and Microsoft Power BI fit the interactive-first workflow with governance.
Choose a parameter and drill philosophy for investigative workflows
If users need drill-through from a summary view to a parameterized detail report without duplicating datasets, Telerik Reporting provides server-driven drill-through interactions. If drill-through must keep users anchored to the originating dataset context, Yellowfin links drill paths back to the dataset for faster investigation.
Decide how metric definitions are governed across teams
If the reporting org needs a reusable semantic layer for consistent metric definitions in both paginated reports and dashboards, IBM Cognos Analytics provides semantic layer standardization. If teams want semantic reuse across interactive dashboards while still scheduling dataset refresh, Microsoft Power BI and Sigma Computing emphasize semantic layer governance.
Validate security enforcement at query time for shared datasets
If access must be enforced through integrated row-level security across shared datasets, Oracle Analytics Cloud provides row-level security enforcement for governed interactive reporting. If row-level security must apply at data access time across dashboards, Microsoft Power BI supports row-level security tied to the semantic layer.
Test rendering determinism for paginated exports before rollout
If repeatable paginated output depends on template determinism, JasperReports uses JRXML templates with a deterministic rendering engine. If report pagination and export fidelity must stay predictable from RDL authoring to scheduled delivery, DevExpress Reporting is built around RDL dataset reuse on the report server.
Who should use each tool for SQL reporting and governed delivery
SQL reporting buyers should map roles and workflows to the platform’s delivery and governance behavior rather than only comparing authoring screens. Teams that run recurring SQL-driven exports benefit from tools with server-side scheduling and managed publishing, while enterprise teams that standardize metrics and enforce access need deeper semantic and security integration.
Different platforms shift responsibility between report authors and administrators, so governance-heavy environments should prioritize consistent metric definitions and security enforcement rather than relying on per-report cleanup during scheduled failures.
Reporting teams standardizing RDL-based paginated exports for recurring distribution
DevExpress Reporting fits teams that want server-side report scheduling and subscriptions that run the same RDL datasets on a managed report server. Telerik Reporting fits when consistent exports across on-prem paginated deployments must be supported with scheduled execution.
Enterprise BI teams requiring governed metric reuse and role-based control
IBM Cognos Analytics fits when a semantic layer standardizes metrics and metadata so authors can reuse definitions across paginated reports and dashboards. Oracle Analytics Cloud fits when governed interactive reporting needs integrated row-level security enforcement and enterprise admin controls.
Organizations prioritizing interactive SQL dashboards with governed access and recurring refresh
Microsoft Power BI fits when semantic layer reuse and row-level security must coexist with scheduled dataset refresh. Sigma Computing fits when teams want semantic layer governance that standardizes metrics while keeping scheduled delivery aligned with spreadsheet-friendly exports.
On-prem teams that want a dedicated report server with scheduled subscription-style delivery
ReportServer fits when a report server deployment must provide web portal access and scheduled runs with subscription-style deliveries on-premises. JasperReports fits when teams require consistent parameterized paginated output through JRXML templating and want scheduling via JasperReports Server.
Analytics groups building interactive investigation flows and drilling within report context
Yellowfin fits when drill-through navigation links back to the originating dataset to speed investigation. Domo fits when API-driven automation around dataset ingestion and widget publishing matters more than pixel-perfect paginated publishing.
Common mistakes in SQL reporting tool selection and rollout
Buyers often over-optimize for authoring ease and under-test scheduled execution behavior, which leads to export mismatches and parameter runtime failures. Several platforms also require different governance patterns, so adopting a workflow from a different product can break in scheduled delivery.
Another recurring issue is assuming that interactive reporting governance automatically solves paginated governance, since parameter cascading and metric reuse behave differently across tools.
Choosing an interactive-first platform without validating pixel-correct paginated export requirements
Domo is not optimized for pixel-perfect paginated output compared with dedicated report servers, so teams should validate export fidelity early. Oracle Analytics Cloud and Power BI also prioritize interactive analysis, so paginated requirements should be tested against the platform’s export behavior.
Ignoring governance work needed for multi-source publishing and scheduled dataset consistency
DevExpress Reporting requires governance setup across data sources and server publishing when multiple datasets and environments exist. JasperReports and IBM Cognos Analytics also demand disciplined handling of parameters and semantic definitions to avoid inconsistent scheduled runs.
Building complex parameter chains without a plan for troubleshooting scheduled failures
IBM Cognos Analytics can make complex parameter cascading difficult to troubleshoot at scale, so teams should test cascading under scheduled execution. Yellowfin supports complex parameter interactions that need careful design to avoid user confusion, especially when schedules run unattended.
Assuming that drill-through works the same way as dataset-linked navigation
Telerik Reporting drill-through links summary pages to parameterized detail reports without reauthoring datasets, which differs from navigation that relies on report context. Yellowfin’s drill-through links back to the originating dataset, so parameter design must preserve dataset context for correct investigation.
How We Selected and Ranked These Tools
We evaluated DevExpress Reporting, Telerik Reporting, Crystal Reports, JasperReports, IBM Cognos Analytics, Oracle Analytics Cloud, Microsoft Power BI, Sigma Computing, ReportServer, Yellowfin, and Domo by scoring features, ease of use, and overall value with features at 40% weight and ease and value at 30% each. Features coverage emphasized server-side scheduling behavior, repeatable rendering for SQL-backed paginated output, and whether exports like PDF and XLSX stay consistent across recurring runs.
Ease of use emphasized how predictable report delivery is for authors and admins when parameters and scheduling are involved, not just editor ergonomics. DevExpress Reporting set the top score by pairing server-side report scheduling and subscriptions with managed report server execution that runs the same RDL datasets for consistent scheduled outputs.
Frequently Asked Questions About Sql Reporting Software
How do DevExpress Reporting, Telerik Reporting, and JasperReports handle parameterized SQL queries in paginated reports?
Which tool best supports RDL-compatible authoring workflows for SQL-backed paginated reporting?
When teams need server-side scheduling and subscriptions driven by the same SQL dataset, how do DevExpress Reporting and Telerik Reporting compare?
What breaks when a report requires interactive drill-through navigation rather than fixed paginated exports?
How do IBM Cognos Analytics and Microsoft Power BI differ in governance mechanisms for SQL reporting access?
How do Oracle Analytics Cloud and Domo support row-level security and access control at query time?
What data migration approach fits teams moving from ad-hoc SQL reporting into a report server workflow?
How do DevExpress Reporting and ReportServer differ for on-prem deployment when access is delivered through a web portal?
Which platform provides the strongest extensibility for automating report publishing and dataset ingestion via APIs?
Where does row-level security enforcement fall short in practice for embedded interactive reporting, and which tools address it better?
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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