June 17, 2025 Other Open Access

Pospiech, Solveig

Citation Style Language JSON Export

{
  "abstract": "<p><strong>Format:</strong> <em>HTML document (bookdown format)</em><br>\n<strong>Purpose:</strong> <em>This file provides a detailed description of the quality assurance and quality control (QA/QC) procedures applied to the plant concentration data collected during the study. It includes statistical analysis of reference materials, drift correction, uncertainty modeling, and evaluation of laboratory and field precision.</em></p>\n\n<p><strong>Description of the File Content</strong></p>\n\n<p>This file is part of a larger data publication and serves as a supplementary document to the main dataset. It outlines the QA/QC procedures used to ensure the accuracy, precision, and reliability of the plant element concentration data. The file includes:</p>\n\n<ol>\n\t<li>\n\t<p><strong>Reference Material (RM) Analysis:</strong></p>\n\n\t<ul>\n\t\t<li>Statistical summaries of standard reference materials (SRMs) such as UPDEEP_SPRU_BARK_DRY, UPDEEP_SPRU_TWIG_DRY, and UPDEEP_SPRU_NEED_DRY.</li>\n\t\t<li>Comparison of pre-analyzed SRM values with actual measurements.</li>\n\t\t<li>X-charts showing the performance of SRMs over time and across different batches.</li>\n\t</ul>\n\t</li>\n\t<li>\n\t<p><strong>Drift and Offset Correction:</strong></p>\n\n\t<ul>\n\t\t<li>Visualizations of raw and corrected data for routine samples, laboratory, and field replicates.</li>\n\t\t<li>Analysis of data trends and correction of analytical drift and offsets.</li>\n\t</ul>\n\t</li>\n\t<li>\n\t<p><strong>Uncertainty Modeling:</strong></p>\n\n\t<ul>\n\t\t<li>Calculation of relative standard deviation (RSD) from laboratory replicates.</li>\n\t\t<li>Identification of elements with high uncertainty (RSD &gt; 10%) that may be excluded from further analysis.</li>\n\t\t<li>Tables and visualizations showing the distribution of uncertainties across different plant tissues.</li>\n\t</ul>\n\t</li>\n\t<li>\n\t<p><strong>Field Precision Assessment:</strong></p>\n\n\t<ul>\n\t\t<li>Evaluation of field replicate data to assess variability in field sampling.</li>\n\t\t<li>Identification of elements with poor field precision (RSD &gt; 20%).</li>\n\t</ul>\n\t</li>\n\t<li>\n\t<p><strong>Data Preparation and Processing:</strong></p>\n\n\t<ul>\n\t\t<li>R code for data loading, cleaning, and transformation.</li>\n\t\t<li>Use of packages such as <code>data.table</code>, <code>ggplot2</code>, <code>dplyr</code>, and <code>kableExtra</code> for data manipulation and visualization.</li>\n\t</ul>\n\t</li>\n</ol>\n\n<p><strong>Summary of Key Findings and Data Included</strong></p>\n\n<ul>\n\t<li><strong>Reference Materials:</strong> The file provides statistical summaries (mean, median, SD, RMAD) of SRMs used to monitor analytical performance. These are compared with actual measurements to assess accuracy and precision.</li>\n\t<li><strong>Drift Correction:</strong> The data shows the effect of drift correction on plant concentration measurements, improving the consistency of results across different batches.</li>\n\t<li><strong>Uncertainty Analysis:</strong> The RSD of laboratory replicates is calculated, and elements with high variability are flagged for exclusion.</li>\n\t<li><strong>Field Precision:</strong> Field replicates are used to assess the variability of sampling and analysis in the field, with some elements showing poor precision.</li>\n\t<li><strong>Visualizations:</strong> The file includes numerous plots (e.g., X-charts, scatter plots) to illustrate data trends, comparisons, and uncertainty levels.</li>\n</ul>", 
  "language": "eng", 
  "DOI": "10.14278/rodare.3812", 
  "type": "article", 
  "id": "3812", 
  "issued": {
    "date-parts": [
      [
        2025, 
        6, 
        17
      ]
    ]
  }, 
  "author": [
    {
      "family": "Pospiech, Solveig"
    }
  ], 
  "title": "NEXT Plant data: Results of Quality Assurance and Quality Control - Supplementary material for publications based on this data set", 
  "publisher": "Rodare"
}