Dashboard Generation System for Researcher Performance

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Solution Overview

Problem

The existing methods for presenting researcher performance data are inadequate, as they often rely on limited key performance indicators (KPIs) that do not accurately reflect a researcher's contributions to their field, leading to incomplete and inaccurate representations of their achievements, which can undermine their role and contributions.

Innovation Solution

A system and method for generating a dashboard that includes a database with pre-configured activity types, user activity tables, earned badge tables, and graphical elements, allowing for the creation of a comprehensive and visually engaging display of KPIs by correlating activities with badges and inserting graphical elements into dashboard templates based on activity types.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional KPI-based dashboard methods are used to present researcher performance, then the presentation process is simple, but the accuracy and comprehensiveness of researcher contribution representation deteriorates

Engineering Contradiction:
Improveaccuracy of researcher performance representationVSAvoidcomplexity of dashboard generation system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments researcher performance data into multiple activity types (publications, presentations, patents, etc.) and uses separate template files for each activity type. Each template contains specific graphical elements tailored to that activity type, allowing comprehensive yet organized representation of diverse researcher contributions without overwhelming system complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by pre-configuring activity types, template files, and graphical elements before dashboard generation. Templates are prepared in advance with appropriate graphical elements for each activity type, and the system automatically selects and combines them based on the researcher's actual activities, eliminating the need for manual dashboard assembly and improving both accuracy and efficiency.

Inventive Principle:
Principle #10Preliminary action

2Loss of information

If multiple data sources are integrated to improve data completeness, then the comprehensiveness of researcher data improves, but data accuracy and reliability deteriorates due to errors from multiple sources

Engineering Contradiction:
Improvecompleteness of researcher dataVSAvoidaccuracy of researcher data
Core Design Contradiction:
Loss of informationVSReliability

Solution Approach 1:

The system introduces an intermediary processing layer that receives data from multiple sources, validates it against pre-defined activity types, and standardizes the information before presentation. This intermediary layer filters and harmonizes data from various sources, ensuring that only validated information is incorporated into the dashboard, thereby maintaining both completeness and reliability.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system changes the parameters of incoming data by mapping diverse data formats to standardized activity type parameters. Each activity type has specific required parameters and validation rules, transforming heterogeneous source data into consistent, validated information that maintains accuracy while capturing comprehensive researcher contributions.

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If traditional university ranking methodologies are used for dashboard presentation, then the dashboard structure is simple and familiar, but the ability to reflect full spectrum of researcher contributions deteriorates

Engineering Contradiction:
Improveability to represent diverse researcher activitiesVSAvoidcomplexity of dashboard template system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system achieves universality by creating a flexible template-based framework where a single dashboard generation mechanism can handle multiple activity types (publications, presentations, patents, etc.). Each activity type has its own template file with appropriate graphical elements, allowing the system to adapt to diverse researcher contributions while maintaining a unified presentation approach.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system applies local quality by allowing each activity type to have its own customized template and graphical elements while maintaining overall system consistency. Each template file contains activity-specific visual representations and formatting, enabling the dashboard to accurately reflect the unique characteristics of different researcher activities without requiring a completely separate system for each type.

Inventive Principle:
Principle #3Local quality

4Productivity

If manual data assembly methods are used, then the system complexity is low, but the time and effort required to create accurate researcher profiles increases

Engineering Contradiction:
Improveefficiency of dashboard generationVSAvoidtime required for data assembly
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system implements self-service by automatically generating dashboards through programmatic processes. The dashboard generation application automatically retrieves researcher data, selects appropriate templates based on activity types, inserts relevant graphical elements, and produces the final dashboard without manual intervention. This automation dramatically improves productivity while the standardized templates ensure consistency and accuracy.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system replaces manual mechanical assembly processes with automated computational processes. Instead of manually gathering, organizing, and presenting researcher data, the system uses programmatic data retrieval, automated template selection, and algorithmic graphical element insertion to generate dashboards, significantly reducing time and effort while maintaining high accuracy.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11144860B2Method and system for generating a dashboard
Publication Date: 2021.10.12 PICHHADZE AVIV
  • US11144860B2 patent drawing
  • US11144860B2 patent drawing
  • US11144860B2 patent drawing

AI summary

A system for generating a dashboard comprising: a database comprising: an activity type table comprising pre-configured activity types; a user activity table comprising at least one activity each being associated with a respective pre-configured activity type; a badge table comprising at least one badge each associated with an activity; a library comprising a dashboard template and at least one graphical element each associated with a respective badge, each dashboard template comprising a plurality of predefined location at which a respective graphical element is insertable and being associated with a respective pre-configured activity type; and a processor configured for each badge associated, retrieving a corresponding graphical element from the library and inserting the retrieved graphical element at the predefined location associated with the pre-configured activity type associated with the badge to obtain a completed dashboard, and outputting the completed dashboard.