Merge pull request #142 from esciencecenter-digital-skills/update-rss

Update rss
esciencecenter-digital-skills · Oct 11, 2024 · f23ddb8 · f23ddb8
2 parents 33be310 + a1183ca
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diff --git a/ds-rss-masterclass/schedule.md b/ds-rss-masterclass/schedule.md
@@ -1,5 +1,4 @@
-
-<h3> Two separate days with time in between for homework exercises</h3>
+<p><b> The workshop consists of two separate in-person days with time in between for homework exercises</b></p>
 
 <div class="row">
   <div class="col-md-6">

diff --git a/ds-rss-masterclass/setup.md b/ds-rss-masterclass/setup.md
@@ -1 +1 @@
-For this workshop you need a laptop and access to the internet.
+For this workshop you need a laptop and access to the internet. There are no setup instructions.
diff --git a/ds-rss-masterclass/who.md b/ds-rss-masterclass/who.md
@@ -3,5 +3,6 @@ This masterclass is aimed at research support staff, that want to learn about re
 For example (but not exclusively): University Library staff, Digital Competence Center staff, Data Stewards, Research Software Engineers, etc.
 
 Recommended prior knowledge:
-- Basic understanding of the research cycle and academic landscape (if you are not familiar, read the following: https://datasupport.researchdata.nl/en/start-the-course/i-a-birds-eye-view/data-jargon/research-lifecycle )
-- Basic understanding of the FAIR principles for data management (if you are not familiar, read the following: [howtofair.dk/what-is-fair](https://howtofair.dk/what-is-fair))
+- Basic understanding of the research cycle and academic landscape (if you are not familiar, read the following: [research lifecycle](https://researchdata.princeton.edu/research-lifecycle-guide/research-lifecycle-guide) )
+- Basic understanding of the FAIR principles for data management (if you are not familiar, read the following: [howtofair.dk/what-is-fair](https://howtofair.dk/what-is-fair))
+