added draft material for context section

.quarto/cites/index.json

@@ -1 +1 @@
-{"CONTEXT_UNDERSTANDABILITY.qmd":[],"intro.qmd":[],"2-CONTEXT_UNDERSTANDABILITY.qmd":[],"index.qmd":[],"SHARE_DATA_WEB.qmd":[],"INTEGRATE_DATA.qmd":[],"SOFTWARE_READY.qmd":[],"INTEROPERABLE_DATA.qmd":[],"3-INTEGRATE_DATA.qmd":[],"5-SHARE_DATA_WEB.qmd":[],"4-INTEROPERABLE_DATA.qmd":[],"1-intro.qmd":[],"6-SOFTWARE_READY.qmd":[]}
+{"intro.qmd":[],"1-intro.qmd":[],"CONTEXT_UNDERSTANDABILITY.qmd":[],"4-INTEROPERABLE_DATA.qmd":[],"INTEGRATE_DATA.qmd":[],"SHARE_DATA_WEB.qmd":[],"3-INTEGRATE_DATA.qmd":[],"INTEROPERABLE_DATA.qmd":[],"SOFTWARE_READY.qmd":[],"2-CONTEXT_UNDERSTANDABILITY.qmd":[],"index.qmd":[],"5-SHARE_DATA_WEB.qmd":[],"6-SOFTWARE_READY.qmd":[]}

.quarto/xref/12086bf0

@@ -1 +1 @@
-{"entries":[],"options":{"chapters":true},"headings":["preface","esip-bds-primer-guide-suite-of-documents","how-to-contribute","structure"]}
+{"headings":["preface","esip-bds-primer-guide-suite-of-documents","how-to-contribute","structure"],"entries":[],"options":{"chapters":true}}

.quarto/xref/e95e2d34

@@ -1 +1 @@
-{"options":{"chapters":true},"headings":["use-non-proprietary-formats","why","key-information","top-references","structure-tabular-data-in-tidylong-format","why-1","key-information-1","top-references-1","follow-iso-8601-for-dates","why-2","key-information-2","top-references-2","match-scientific-names-to-a-taxonomic-authority","why-3","key-information-3","top-references-3","record-latitude-and-longitude-in-decimal-degrees-in-wgs84","why-4","key-information-4","top-references-4","use-persistent-unique-identifiers","why-5","key-information-5","top-references-5"],"entries":[]}
+{"headings":["use-non-proprietary-formats","why","key-information","top-references","structure-tabular-data-in-tidylong-format","why-1","key-information-1","top-references-1","follow-iso-8601-for-dates","why-2","key-information-2","top-references-2","match-scientific-names-to-a-taxonomic-authority","why-3","key-information-3","top-references-3","record-latitude-and-longitude-in-decimal-degrees-in-wgs84","why-4","key-information-4","top-references-4","use-persistent-unique-identifiers","why-5","key-information-5","top-references-5"],"options":{"chapters":true},"entries":[]}

docs/search.json

@@ -25,7 +25,7 @@
     "href": "SOFTWARE_READY.html#structure-tabular-data-in-tidylong-format",
     "title": "MAKE YOUR DATA SOFTWARE READY",
     "section": "Structure tabular data in tidy/long format",
-    "text": "Structure tabular data in tidy/long format\n\nWhy?\nThis is specifically intended for tabular data\n\nThere is a clear and easy to understand structure that can make your data more machine readable and easier to analyze/visualize\n\nClear structure: one observation per row\nData are as atomic as possible (e.g., don’t mix types in field)\n\nIn the biological data community, tidy formats are more likely to work with commonly-used software\nEasier to aggregate data across multiple files\n\n\n\nKey Information\nExample of Wide Format\n\n\n\nspeciessite_01site_02site_03Tilia americana042Pinus strobus500\n\n\nExample of Long Format\n\n\n\nspeciessitecountTilia americanasite_012Tilia americanasite_020Tilia americanasite_032Pinus strobussite_014Pinus strobussite_024Pinus strobussite_034\n\n\n\nCan be tricky working with multiple column datatypes\nDon’t use colors or text formatting in tabular data, and only include column names as metadata. All other notes, definitions, etc. should be in an external metadata file (e.g. data dictionary)\n\n\n\nTop References\n\nWickham, H. (2014). Tidy Data. Journal of Statistical Software, 59(10), 1–23. https://doi.org/10.18637/jss.v059.i10\nData Sharing and Management Snafu in 3 Short Acts (video)\nhttps://www.youtube.com/watch?v=N2zK3s=Atr-4&t=7s\nTips for working with data in BASH\nhttps://www.datafix.com.au/BASHing/2022-01-12.html\nData Organization in Spreadsheets for Ecologists\nhttps://datacarpentry.org/spreadsheet-ecology-lesson/\nCleaning Data and Quality Control\nhttps://edirepository.org/resources/cleaning-data-and-quality-control#data-table-structure"
+    "text": "Structure tabular data in tidy/long format\n\nWhy?\nThis is specifically intended for tabular data\n\nThere is a clear and easy to understand structure that can make your data more machine readable and easier to analyze/visualize\n\nClear structure: one observation per row\nData are as atomic as possible (e.g., don’t mix types in field)\n\nIn the biological data community, tidy formats are more likely to work with commonly-used software\nEasier to aggregate data across multiple files\n\n\n\nKey Information\nExample of Wide Format\n\n\n\nspeciessite_01site_02site_03Tilia americana013Pinus strobus522\n\n\nExample of Long Format\n\n\n\nspeciessitecountTilia americanasite_014Tilia americanasite_025Tilia americanasite_032Pinus strobussite_010Pinus strobussite_021Pinus strobussite_034\n\n\n\nCan be tricky working with multiple column datatypes\nDon’t use colors or text formatting in tabular data, and only include column names as metadata. All other notes, definitions, etc. should be in an external metadata file (e.g. data dictionary)\n\n\n\nTop References\n\nWickham, H. (2014). Tidy Data. Journal of Statistical Software, 59(10), 1–23. https://doi.org/10.18637/jss.v059.i10\nData Sharing and Management Snafu in 3 Short Acts (video)\nhttps://www.youtube.com/watch?v=N2zK3s=Atr-4&t=7s\nTips for working with data in BASH\nhttps://www.datafix.com.au/BASHing/2022-01-12.html\nData Organization in Spreadsheets for Ecologists\nhttps://datacarpentry.org/spreadsheet-ecology-lesson/\nCleaning Data and Quality Control\nhttps://edirepository.org/resources/cleaning-data-and-quality-control#data-table-structure"
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