lter/lterwg-caged
Jan 2025 – Apr 2026
14 Months active
Languages Used
MarkdownR
Technical Skills
DocumentationProject ManagementData AnalysisStatistical ModelingData HarmonizationData Cleaning
Jamie McDevitt-Irwin
PROFILE
Jamie Mcdevitt-irwin
Jamie Irwin developed and maintained the lter/lterwg-caged data analysis pipeline over 14 months, delivering 35 features focused on ecological data harmonization, quality control, and statistical modeling. Using R and dplyr, Jamie engineered modular scripts for data wrangling, validation, and visualization, enabling reproducible workflows and robust beta diversity analyses across aquatic and terrestrial habitats. The work included refining metadata standards, automating quality checks, and expanding model coverage to support cross-condition comparisons. Jamie’s approach emphasized documentation, data provenance, and stakeholder-ready outputs, resulting in a reliable, maintainable pipeline that improved data integrity, analytical transparency, and onboarding for ecological research teams.
Overall Statistics
Feature vs Bugs
85%Features
Repository Contributions
127Total
Bugs
6
Commits
127
Features
35
Lines of code
14,394
Activity Months14
Your Network
13 peopleShared Repositories
13
raine-detmerMember
Maowei LiangMember
Dan DetmerMember
hillarykrumbholzMember
Kelly SpeareMember
luisagenesMember
Luisa GenesMember
Marc HenselMember
njlyon0Member
Work History
April 2026
22 Commits • 4 Features
Apr 1, 2026April 2026 focused on stabilizing and expanding the lter/lterwg-caged data pipeline, with emphasis on throughput accuracy, data integrity, model coverage, and clearer documentation. The changes reduce data loss, improve model fidelity, and streamline pipeline operations, delivering measurable business value in reliability, speed of analysis, and stakeholder confidence.
22 Commits • 4 Features
Apr 1, 2026April 2026 focused on stabilizing and expanding the lter/lterwg-caged data pipeline, with emphasis on throughput accuracy, data integrity, model coverage, and clearer documentation. The changes reduce data loss, improve model fidelity, and streamline pipeline operations, delivering measurable business value in reliability, speed of analysis, and stakeholder confidence.
April 2026
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 — CAGED data pipeline enhancements and validation improvements in lter/lterwg-caged focused on delivering business value through reliable, reproducible data processing and stronger data quality controls. Key outcomes include streamlined data harmonization, QC, and analysis workflows, expanded documentation for reproducibility, and robust validation to prevent loss of sources/experimental names during processing. The repository also stayed aligned with upstream changes by merging latest main branch updates.
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 — CAGED data pipeline enhancements and validation improvements in lter/lterwg-caged focused on delivering business value through reliable, reproducible data processing and stronger data quality controls. Key outcomes include streamlined data harmonization, QC, and analysis workflows, expanded documentation for reproducibility, and robust validation to prevent loss of sources/experimental names during processing. The repository also stayed aligned with upstream changes by merging latest main branch updates.
February 2026
11 Commits • 3 Features
Feb 1, 2026February 2026 – Monthly performance summary for repository lter/lterwg-caged. Delivered enhancements to the Data Processing Pipeline and supporting artifacts, with a focus on data quality, reliability, and clarity for downstream analyses and stakeholder reporting. Key features delivered: - Data Processing Pipeline Refinements: standardization of caging classifications for zamin and sellers; improved sampling point logic; refined data sources handling; augmented quality control; updated sampling points and outputs for unique sources/names; and overall pipeline improvements. In-flight and historical data handling were stabilized through targeted commits (02, 03, 05a) to ensure consistent data lineage and outputs. - Visualization Enhancement for Successional Stage Representation: updated plot colors to improve interpretability of successional stages across visualizations. - Documentation and Naming Consistency for Experimental Design: updated dataset experiment names; added guidelines for experimental data handling; clarified filtering of confounding treatments in experimental design documents; refreshed meta-document to reflect current conventions. Major bugs fixed / stability improvements: - Resolved data ingestion gaps and corrected end-of-year date handling for new datasets (burkepile, duran, sellers); stabilized last-time-point logic per year; ensured new data can flow through the pipeline (notably through 05a scripts). - Strengthened data source tracking and naming consistency to reduce mismatches between input sources and outputs. Overall impact and accomplishments: - Significantly improved data quality, traceability, and reproducibility across the caged dataset pipeline, enabling more reliable analyses and faster onboarding of new data sources. - Enhanced stakeholder communication via clearer visualizations and up-to-date documentation. Technologies/skills demonstrated: - Data pipeline engineering and automation; scripting and workflow stabilization across multiple pipeline stages (scripts 02/03/05a); data quality control; data visualization; and documentation governance (naming conventions, meta-doc updates).
11 Commits • 3 Features
Feb 1, 2026February 2026 – Monthly performance summary for repository lter/lterwg-caged. Delivered enhancements to the Data Processing Pipeline and supporting artifacts, with a focus on data quality, reliability, and clarity for downstream analyses and stakeholder reporting. Key features delivered: - Data Processing Pipeline Refinements: standardization of caging classifications for zamin and sellers; improved sampling point logic; refined data sources handling; augmented quality control; updated sampling points and outputs for unique sources/names; and overall pipeline improvements. In-flight and historical data handling were stabilized through targeted commits (02, 03, 05a) to ensure consistent data lineage and outputs. - Visualization Enhancement for Successional Stage Representation: updated plot colors to improve interpretability of successional stages across visualizations. - Documentation and Naming Consistency for Experimental Design: updated dataset experiment names; added guidelines for experimental data handling; clarified filtering of confounding treatments in experimental design documents; refreshed meta-document to reflect current conventions. Major bugs fixed / stability improvements: - Resolved data ingestion gaps and corrected end-of-year date handling for new datasets (burkepile, duran, sellers); stabilized last-time-point logic per year; ensured new data can flow through the pipeline (notably through 05a scripts). - Strengthened data source tracking and naming consistency to reduce mismatches between input sources and outputs. Overall impact and accomplishments: - Significantly improved data quality, traceability, and reproducibility across the caged dataset pipeline, enabling more reliable analyses and faster onboarding of new data sources. - Enhanced stakeholder communication via clearer visualizations and up-to-date documentation. Technologies/skills demonstrated: - Data pipeline engineering and automation; scripting and workflow stabilization across multiple pipeline stages (scripts 02/03/05a); data quality control; data visualization; and documentation governance (naming conventions, meta-doc updates).
February 2026
January 2026
2 Commits • 1 Features
Jan 1, 2026Month 2026-01: Delivered targeted improvements to data analysis guidance and data download workflow for the lter/lterwg-caged project, aligning user expectations with actual behavior and reinforcing data integrity during updates.
January 2026
2 Commits • 1 Features
Jan 1, 2026Month 2026-01: Delivered targeted improvements to data analysis guidance and data download workflow for the lter/lterwg-caged project, aligning user expectations with actual behavior and reinforcing data integrity during updates.
December 2025
16 Commits • 3 Features
Dec 1, 2025December 2025 focused on delivering end-to-end feature work for lter/lterwg-caged, strengthening model robustness and data governance, and preparing stakeholder-ready visuals. The work enhanced habitat-level analyses with caging effects, improved model reliability, and clarified data provenance to support reproducibility and decision-making.
16 Commits • 3 Features
Dec 1, 2025December 2025 focused on delivering end-to-end feature work for lter/lterwg-caged, strengthening model robustness and data governance, and preparing stakeholder-ready visuals. The work enhanced habitat-level analyses with caging effects, improved model reliability, and clarified data provenance to support reproducibility and decision-making.
December 2025
November 2025
15 Commits • 4 Features
Nov 1, 2025November 2025: Delivered major enhancements to lterwg-caged, expanding the analysis dataset, standardizing beta diversity modeling, and introducing uncaged/caged data models with enhanced visualizations. Strengthened data validation and function reliability, clarified documentation, and improved reproducibility. These changes increase statistical power, reduce onboarding time, and enable robust cross-condition comparisons for downstream decision-making.
November 2025
15 Commits • 4 Features
Nov 1, 2025November 2025: Delivered major enhancements to lterwg-caged, expanding the analysis dataset, standardizing beta diversity modeling, and introducing uncaged/caged data models with enhanced visualizations. Strengthened data validation and function reliability, clarified documentation, and improved reproducibility. These changes increase statistical power, reduce onboarding time, and enable robust cross-condition comparisons for downstream decision-making.
October 2025
8 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for lter/lterwg-caged: Delivered a cohesive feature set to stabilize analytics for beta dispersion and effect size calculations. The work focused on data wrangling improvements, cross-treatment data completeness, and diagnostic support, with refactoring for clearer modeling inputs and metadata-driven reruns. It also addressed data integrity gaps related to replicates and exp.name filtering, ensuring reliable downstream analyses across experiments.
8 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for lter/lterwg-caged: Delivered a cohesive feature set to stabilize analytics for beta dispersion and effect size calculations. The work focused on data wrangling improvements, cross-treatment data completeness, and diagnostic support, with refactoring for clearer modeling inputs and metadata-driven reruns. It also addressed data integrity gaps related to replicates and exp.name filtering, ensuring reliable downstream analyses across experiments.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Focused on enhancing observability for the data processing pipeline in lter/lterwg-caged and improving data readability for modeling data. Delivered observable outputs (unique sources and experiment names) and documented data loss points to enable faster traceability and issue diagnosis. Renamed modeling dataframes to improve readability and maintainability. These changes reduce data loss risk, streamline debugging, and enable more reliable modeling pipelines.
September 2025
2 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Focused on enhancing observability for the data processing pipeline in lter/lterwg-caged and improving data readability for modeling data. Delivered observable outputs (unique sources and experiment names) and documented data loss points to enable faster traceability and issue diagnosis. Renamed modeling dataframes to improve readability and maintainability. These changes reduce data loss risk, streamline debugging, and enable more reliable modeling pipelines.
August 2025
6 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for the lterwg-caged repository. Focused on delivering data integrity verification, improving data quality controls, and refactoring beta-diversity analysis to support reliable statistical modeling. Achievements include robust data checks across caged_v1 and avg.caged_v1, improved handling and tracing of sources and experiment names, and a refactor to emphasize mean differences in beta diversity with NA debugging aids. These efforts reduce data loss risks, accelerate debugging, and enhance reproducibility for downstream analyses and reports. Key improvements have been integrated into the data wrangling pipeline and accompanying documentation.
6 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for the lterwg-caged repository. Focused on delivering data integrity verification, improving data quality controls, and refactoring beta-diversity analysis to support reliable statistical modeling. Achievements include robust data checks across caged_v1 and avg.caged_v1, improved handling and tracing of sources and experiment names, and a refactor to emphasize mean differences in beta diversity with NA debugging aids. These efforts reduce data loss risks, accelerate debugging, and enhance reproducibility for downstream analyses and reports. Key improvements have been integrated into the data wrangling pipeline and accompanying documentation.
August 2025
June 2025
17 Commits • 5 Features
Jun 1, 2025June 2025 monthly summary – lterwg-caged. Key accomplishments include modular data processing and enhanced visualization, beta-diversity modeling and dispersion analysis, and data handling improvements that collectively improve data integrity, reproducibility, and decision-ready outputs. Specific work included refactoring the 08 data-wrangling script into 08a/08b/08c with new raw-data figures, development and refinement of beta-diversity models and dispersion metrics (Figures 2 & 3 groundwork, beta regression experiments), and data quality fixes such as prairie dog disturbance handling, end-timepoint data filtering refinements, and coordinate standardization (lat/long). Visualization refinements for gamma richness and uncaged/caged plots enhanced clarity for upcoming meetings. These efforts were supported by code refactoring, model simplification (removing redundant random effects), and data normalization, demonstrating proficiency in R-based data science, statistical modeling, and reproducible workflows.
June 2025
17 Commits • 5 Features
Jun 1, 2025June 2025 monthly summary – lterwg-caged. Key accomplishments include modular data processing and enhanced visualization, beta-diversity modeling and dispersion analysis, and data handling improvements that collectively improve data integrity, reproducibility, and decision-ready outputs. Specific work included refactoring the 08 data-wrangling script into 08a/08b/08c with new raw-data figures, development and refinement of beta-diversity models and dispersion metrics (Figures 2 & 3 groundwork, beta regression experiments), and data quality fixes such as prairie dog disturbance handling, end-timepoint data filtering refinements, and coordinate standardization (lat/long). Visualization refinements for gamma richness and uncaged/caged plots enhanced clarity for upcoming meetings. These efforts were supported by code refactoring, model simplification (removing redundant random effects), and data normalization, demonstrating proficiency in R-based data science, statistical modeling, and reproducible workflows.
May 2025
12 Commits • 5 Features
May 1, 2025May 2025 performance summary for lter/lterwg-caged. Focused on strengthening data integrity, reproducibility, and analytical capabilities. Delivered end-to-end data quality upgrades, improved duplicate handling in zero-fill, expanded EDA/modeling workflows with clearer visualizations, standardized dependencies, and mitigated automated data uploads by disabling Google Drive uploads. These efforts reduce analysis risk, accelerate reporting, and improve trust in downstream insights for decision-making.
12 Commits • 5 Features
May 1, 2025May 2025 performance summary for lter/lterwg-caged. Focused on strengthening data integrity, reproducibility, and analytical capabilities. Delivered end-to-end data quality upgrades, improved duplicate handling in zero-fill, expanded EDA/modeling workflows with clearer visualizations, standardized dependencies, and mitigated automated data uploads by disabling Google Drive uploads. These efforts reduce analysis risk, accelerate reporting, and improve trust in downstream insights for decision-making.
May 2025
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 focused on metadata/documentation hygiene for the lterwg-caged project. Implemented clarifications to meta-documentation, refined data interpretation guidance, and standardized file naming conventions to improve clarity and maintainability. The changes reduce ambiguity in metadata and support reproducibility and onboarding for analysts and downstream users.
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 focused on metadata/documentation hygiene for the lterwg-caged project. Implemented clarifications to meta-documentation, refined data interpretation guidance, and standardized file naming conventions to improve clarity and maintainability. The changes reduce ambiguity in metadata and support reproducibility and onboarding for analysts and downstream users.
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025: Delivered documentation and methodological improvements for the lterwg-caged project, focusing on data usability, reproducibility, and robust analysis. Key contributions include enhancements to data dictionary and experimental data key documentation, alignment of data-harmonization fields, and updates to meta documentation; plus a methodological upgrade to beta dispersion calculations for more robust results.
3 Commits • 2 Features
Feb 1, 2025February 2025: Delivered documentation and methodological improvements for the lterwg-caged project, focusing on data usability, reproducibility, and robust analysis. Key contributions include enhancements to data dictionary and experimental data key documentation, alignment of data-harmonization fields, and updates to meta documentation; plus a methodological upgrade to beta dispersion calculations for more robust results.
February 2025
January 2025
6 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for lter/lterwg-caged: Focused on solidifying the data harmonization workflow through targeted documentation and guidance. Delivered a centralized meta-document, refreshed README, updated meeting-derived details, and added site-level metadata instructions to standardize data discovery and reuse. These changes lay the groundwork for consistent onboarding, reduce operational risk from misconfigurations, and improve discoverability of the workflow and scripts. Implemented through six commits across the repository, establishing clearer governance and repeatable processes.
January 2025
6 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for lter/lterwg-caged: Focused on solidifying the data harmonization workflow through targeted documentation and guidance. Delivered a centralized meta-document, refreshed README, updated meeting-derived details, and added site-level metadata instructions to standardize data discovery and reuse. These changes lay the groundwork for consistent onboarding, reduce operational risk from misconfigurations, and improve discoverability of the workflow and scripts. Implemented through six commits across the repository, establishing clearer governance and repeatable processes.
Activity
Loading activity data...
Quality Metrics
Correctness88.0%
Maintainability87.6%
Architecture81.8%
Performance82.0%
AI Usage20.2%
Skills & Technologies
Programming Languages
MarkdownR
Technical Skills
Data AnalysisData CleaningData FilteringData HarmonizationData ManagementData PreparationData StandardizationData ValidationData VisualizationData WranglingDebuggingDocumentationEcological Data AnalysisExploratory Data AnalysisLinear Mixed-Effects Models
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline