diff --git a/01-tidiness.html b/01-tidiness.html index a88f78d7..76031939 100644 --- a/01-tidiness.html +++ b/01-tidiness.html @@ -238,10 +238,10 @@
When we think about the data for a sequencing project, we often start by thinking about the sequencing data that we get back from the sequencing center. However, equally or more important is the data you’ve @@ -344,8 +343,7 @@
With the person next to you, discuss:
What kinds of data and information have you generated before you sent @@ -358,7 +356,7 @@
Types of files and information you have generated:
All of the data and information just discussed can be considered metadata, i.e. data about the data. We want to follow a few guidelines for metadata.
-Notes about your experiment, including how you prepared your samples for sequencing, should be in your lab notebook, whether that’s a physical lab notebook or electronic lab notebook. For guidelines on good @@ -399,8 +396,7 @@
Unique identifiers are a unique name for a sample or set of sequencing data. They are names for that data that only exist for that @@ -409,8 +405,7 @@
Data about the experiment is usually collected in spreadsheets, like Excel.
What type of data to collect depends on your experiment and there are @@ -420,8 +415,7 @@
Many fields have particular ways that they structure their metadata so it’s consistent and can be used across the field.
@@ -435,8 +429,7 @@Regardless of the type of data you’re collecting, there are standard ways to enter that data into the spreadsheet to make it easier to analyze later. We often enter data in a way that makes it easy for us as @@ -471,8 +464,7 @@
This is some potential spreadsheet data generated about a sequencing experiment. With the person next to you, for about 2 minutes, discuss @@ -487,7 +479,7 @@
A full set of types of issues with spreadsheet data is at the Data Carpentry Ecology spreadsheet lesson. Not all are present in this @@ -524,8 +516,7 @@
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