diff --git a/functions/_common/readmeTools.ts b/functions/_common/readmeTools.ts
index 2ea9ec5468c..dbad7773824 100644
--- a/functions/_common/readmeTools.ts
+++ b/functions/_common/readmeTools.ts
@@ -250,13 +250,15 @@ The first two columns in the CSV file are "Entity" and "Code". "Entity" is the n
 
 The third column is either "Year" or "Day". If the data is annual, this is "Year" and contains only the year as an integer. If the column is "Day", the column contains a date string in the form "YYYY-MM-DD".
 
+The final column is the data column, which is the time series that powers the chart. If the CSV data is downloaded using the "full data" option, then the column corresponds to the time series below. If the CSV data is downloaded using the "only selected data visible in the chart" option then the data column is transformed depending on the chart type and thus the association with the time series might not be as straightforward.
+
 ## Metadata.json structure
 
 The .metadata.json file contains metadata about the data package. The "charts" key contains information to recreate the chart, like the title, subtitle etc.. The "columns" key contains information about each of the columns in the csv, like the unit, timespan covered, citation for the data etc..
 
 ## About the data
 
-Our World in Data is almost never the original producer of the data - almost all of the data we use has been compiled by others. If you want to re-use data, make sure to check the licenses of the original producers. Follow the information below to do this. Please also note that a single time series may have more than one source - e.g. when we stich together data from different time periods by different producers or when we calculate per capita metrics (which adds a population data source).
+Our World in Data is almost never the original producer of the data - almost all of the data we use has been compiled by others. If you want to re-use data, it is your responsibility to ensure that you adhere to the sources' license and to credit them correctly. Please note that a single time series may have more than one source - e.g. when we stich together data from different time periods by different producers or when we calculate per capita metrics using population data from a second source.
 
 ## Detailed information about the data
 
@@ -268,16 +270,23 @@ ${sources.join("\n")}
 
 This data package contains the data that powers the chart ["${grapher.title}"](${grapher.originUrl}) on the Our World in Data website.
 
+## CSV Structure
+
 The high level structure of the CSV file is that each row is an observation for an entity (usually a country or region) and a timepoint (usually a year).
 
 The first two columns in the CSV file are "Entity" and "Code". "Entity" is the name of the entity (e.g. "United States"). "Code" is the OWID internal entity code that we use if the entity is a country or region. For normal countries, this is the same as the [iso alpha-3](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-3) code of the entity (e.g. "USA") - for non-standard countries like historical countries these are custom codes.
 
-The third column is either "Year" or "Day". If the data is annual, this is and contains only the year as an integer. If the column is day, the column contains a date string in the form "YYYY-MM-DD".
+The third column is either "Year" or "Day". If the data is annual, this is "Year" and contains only the year as an integer. If the column is "Day", the column contains a date string in the form "YYYY-MM-DD".
 
 The remaining columns are the data columns, each of which is a time series. If the CSV data is downloaded using the "full data" option, then each column corresponds to one time series below. If the CSV data is downloaded using the "only selected data visible in the chart" option then the data columns are transformed depending on the chart type and thus the association with the time series might not be as straightforward.
 
-Our World in Data is almost never the original producer of the data - almost all of the data we use has been compiled by others. If you want to re-use data, make sure to check the licenses of the original producers. Follow the information below to do this. Please also note that a single time series may have more than one source - e.g. when we stich together data from different time periods by different producers or when we calculate per capita metrics (which adds a population data source).
+## Metadata.json structure
+
+The .metadata.json file contains metadata about the data package. The "charts" key contains information to recreate the chart, like the title, subtitle etc.. The "columns" key contains information about each of the columns in the csv, like the unit, timespan covered, citation for the data etc..
+
+## About the data
 
+Our World in Data is almost never the original producer of the data - almost all of the data we use has been compiled by others. If you want to re-use data, it is your responsibility to ensure that you adhere to the sources' license and to credit them correctly. Please note that a single time series may have more than one source - e.g. when we stich together data from different time periods by different producers or when we calculate per capita metrics using population data from a second source.
 
 ## Detailed information about each time series