Add emphasis

choose_license.qmd

@@ -367,14 +367,14 @@ flowchart TB
   regulation --"Exists"--> follow_existing_norms["<em>Follow that</em>"]
   regulation --"Does not<br>exist"--> existing_license_content("Adapting content<br> by others?")
   
-  subgraph "License for individual data entries (content)"
+  subgraph content["<strong>License for content</strong>"]
   existing_license_content --"No, we created the content<br>entirely by ourselves."--> facts("Entries are facts<br>(like measurements<br>or metadata)?")
   existing_license_content --"Yes, it was<br>shared under a<br>free/open license."--> use_existing_license_content["<em>Use that license</em>"]
   facts --"Yes"--> cc0_content_metadata["CC0 1.0"]
   facts --"No"--> choose_license["<em>Consult flowchart for<br>software, writing,<br>image, audio, and video</em>"]
   end
   
-  subgraph "License for combination of data (database)"
+  subgraph database["<strong>License for database</strong>"]
   choose_license --> switch_license["<em>Depending on<br>content license</em>"]
   use_existing_license_content --> switch_license
   

intro.qmd

@@ -8,7 +8,7 @@ In the following, we will provide a brief introduction to the concept of _resear
 
 Suppose you are reading an article about a new imaging method to turn seismological data into subsurface images. The article describes the ideas that went into developing this method and presents a few examples to illustrate its superiority over previous approaches. You got interested and would like to apply this method to your own data. However, with only the article available, it could take months to come up with a working solution, if possible at all. This situation has been put aptly by Buckheit & Donoho [-@Buckheit1995, p. 59], distilling an idea by the geophysicist Jon Claerbout:
 
-> "An article about computational science in a scientific publication is not the scholarship itself, it is merely advertising of the scholarship. The actual scholarship is the complete software development environment and the complete set of instructions which generated the figures."
+> "An article about computational science in a scientific publication is __not__ the scholarship itself, it is merely __advertising__ of the scholarship. The actual scholarship is the complete software development environment and the complete set of instructions which generated the figures."
 
 Even when researchers merely apply existing methods (rather than report on a new method), sharing the source code and being transparent about the computational environment is imperative to making their results reproducible [@Ince2012]. By reproducibility, we mean "obtaining consistent results using the same input data; computational steps, methods, and code; and conditions of analysis" [@NASEM2019, p. 46].