Data and code for A Descriptive Analysis of Inter- and Intra-Observer Agreement of Body Condition Scoring Methods in Dairy Cattle

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2023-07-11
2025-05-24

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2025-05-25

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Cramer, Gerard
Gcramer@umn.edu

Abstract

This repository contains data and R scripts used for processing, analyzing, and visualizing body condition scores (BCS) in dairy cows. It includes raw BCS data collected from three sources—automated camera technology, on-farm observations, and image-based scoring—as well as cow metadata. The repository also provides R scripts for cleaning and merging datasets, generating figures, and producing summary statistics. Outputs such as plots, tables, and draft reports (QMD files) used for internal review are included to support reproducibility and transparency of the analysis workflow.

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# BCS_Final Repository This repository contains all data, scripts, and outputs used for analyzing body condition scores (BCS) in dairy cows using multiple input sources. Below is a description of the folder structure and file contents to help you navigate the repository. ## 00_Data This folder contains all raw and pre-processed data used in the analysis. Subfolders: - CE_BCS/ Contains body condition scores derived from camera-based technology (AUTO). - Farm_BCS/ Contains body condition scores recorded by trained observers during on-farm evaluations. - Side_Image_BCS/ Contains body condition scores generated from side-profile cow images. Additional Files: - all_cow_frsh.csv, fresh.csv, etc. Files containing cow-level information including fresh dates, IDs, and lactation records. - Random_Order.csv File that specifies the randomized order in which images were reviewed or presented. ## 01_Data_Manipulation This folder contains R scripts used to clean and process the raw data into analysis-ready formats. - Scripts are organized and named based on their role in preparing specific data sources or merging datasets. - Refer to individual script names for details on processing steps. ## 02_Output This folder contains all outputs used in reporting and analysis. - Includes R scripts used to calculate results and generate visualizations (e.g., figures for presentations or manuscripts). - PNG images used in result summaries are also stored here. ## QMD Files (Quarto Markdown) Located in the root or associated folders, these files were used to generate draft reports and internal reviews. - They include embedded figures, tables, and references to data stored in the folders above. - Useful for understanding how different components (e.g., images, scores, cow metadata) were linked and evaluated. ## Summary This repository supports full transparency and reproducibility of the BCS analysis pipeline. All data sources, transformation scripts, and output materials are clearly organized to assist future users in reviewing, reusing, or extending the work. For questions or collaboration inquiries, please contact the repository owner.

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Attribution-NonCommercial-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/

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Swartz, Drew; Shepley, Elise; Caixeta, Luciano; Cramer, Gerard. (2025). Data and code for A Descriptive Analysis of Inter- and Intra-Observer Agreement of Body Condition Scoring Methods in Dairy Cattle. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://hdl.handle.net/11299/272427.

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