chart-barRecord Summary

Visualize and analyze record creation patterns across your entire workspace with customizable charts and data aggregation for organization-wide insights

Specs

Label
Value

Version

0.1.0 (updated on 2026-03-14)

Developer

Labii Inc.

Type

Dashboard

Support Configuration

Yes

Overview

The Record Summary dashboard widget provides comprehensive visualization and analysis of record creation patterns across your entire workspace. Unlike the section widget which operates within individual records, this dashboard widget aggregates data organization-wide, enabling laboratory administrators and managers to track productivity, analyze project contributions, and understand system usage trends across all accessible projects and teams. Users can configure dynamic queries to filter data by projects, tables, personnel, and date ranges, then visualize results through multiple chart types including bar charts, line graphs, pie charts, and radar plots. This widget is ideal for executive dashboards, organization-wide reporting, and strategic resource planning.

This widget is designed to replace the previous specialized widgets: Record Summary By Date, Record Summary By Tables, Record Summary By Projects, and Record Summary By Users. Instead of maintaining separate widgets for each grouping type, this unified widget provides all the same functionality through its flexible "Group By" configuration option, allowing you to dynamically switch between date-based, table-based, project-based, and personnel-based analysis within a single widget instance.

Use Cases

  • Organization-Wide Productivity: Monitor record creation rates across all teams and projects to assess overall laboratory output and identify high-performing groups

  • Cross-Project Analytics: Compare record volumes across multiple projects simultaneously to identify most active research areas and resource allocation patterns

  • Strategic Resource Planning: Analyze historical data patterns across the organization to forecast future storage needs, staffing requirements, and infrastructure investments

  • Executive Reporting: Generate visual reports for leadership reviews, board meetings, and organizational performance assessments

  • Department Comparisons: Compare productivity and data generation across different departments, research groups, or business units

  • Long-Term Trend Analysis: Track organization-wide record creation trends over months or years to identify seasonal patterns, growth trajectories, and usage cycles

  • Compliance Oversight: Monitor documentation completeness and data entry consistency across the entire organization for regulatory compliance

  • Budget Justification: Visualize system usage and data volume growth to support budget requests and resource allocation decisions

  • Onboarding Impact: Analyze the effect of new team members on overall productivity by tracking personnel-specific contributions over time

  • System Utilization: Understand which table types and data structures are most heavily used across the organization to guide system optimization

Configuration

This dashboard widget shares the same configuration options as the section Record Summary widget. The configuration interface includes:

  • Build Query Settings: Filter data by tables, projects, personnel, date ranges, and custom queries

  • Build Chart Settings: Define grouping methods (projects, tables, personnel, date, column) and value calculations (row count, sum, average)

  • Chart Type Selection: Choose from 10 different visualization types

For detailed configuration instructions, please refer to the Configuration section of the section widget documentation.

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The key difference is scope: the dashboard widget analyzes data across your entire workspace and all accessible projects, while the section widget is limited to data within a specific record context.

Interface

Read-only View

The read-only view of the dashboard widget displays the same interactive chart interface as the section widget, showing aggregated record data with labeled axes, legend, and hover interactions. The visualization presents data according to your configured grouping method and value type.

For a detailed description of the read-only view features and capabilities, please see the Interface section of the section widget documentation.

Dashboard-Specific Considerations:

  • Workspace Scope: The dashboard widget aggregates data across all projects you have access to in your workspace

  • Performance: Larger data volumes may result in longer chart generation times compared to section-level analysis

  • Permissions: The widget only displays data for projects and records you have permission to access

  • Persistent Display: Dashboard widgets remain visible and accessible from your dashboard for quick access to organization-wide insights

Dashboard Record Summary widget displaying workspace-wide aggregated data
The dashboard widget provides organization-wide record analysis with the same visualization capabilities as the section widget

Best Practices

Dashboard-Specific Guidelines

  • Strategic Use: Use dashboard widgets for organization-wide analysis, while section widgets work better for project-specific or experiment-level insights

  • Access Control: Be aware that different users will see different data based on their project access permissions

  • Performance Considerations: For very large organizations, consider using date range filters or project filters to limit data scope and improve chart generation speed

  • Regular Monitoring: Pin important analytics to your dashboard for quick access to recurring reports and KPIs

  • Complementary Views: Create multiple dashboard widgets with different configurations to monitor various organizational metrics simultaneously

For comprehensive best practices on data organization, analytical strategy, and chart selection, please refer to the Best Practices section of the section widget documentation.

Dashboard Widgets

Section Widget Counterpart

  • Section Record Summary: The section version of this widget for record-level analysis within individual experiments and projects

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