diff --git a/publication.qmd b/publication.qmd
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@@ -6,7 +6,7 @@ link-external-newwindow: true
 ## Overview
 
 Data publication is the final step of [FAIR data management](https://www.go-fair.org/fair-principles/), ensuring data **F**indability and **A**ccessibility (when done well). If you have taken care of the previous sections [Data organization](data-organisation.qmd) and [Documentation](documentation.qmd) and thereby made your data **I**nteroperable and **R**eusable, publishing those data will take minimal effort.  
-Most commonly, data are published as supplements to journal articles and an increasing number of journals actually require that. Data sets can also be published in specialized data journals (e.g., Scientific data, Data in Brief), which means that the article itself is a rich and detailed description of the data set. As you may have guessed, this option is mainly chosen for rather large, sampling-intensive data sets. Last but not least, it is also possible to publish an independent (without connected publication) data set in a repository and this is often required by funders like the DFG or EU. Irrespective of the publication option, there are common good practices when publishing data, namely
+Most commonly, data are published as supplements to journal articles and an increasing number of journals actually require that. Datasets can also be published in specialized data journals (e.g., Scientific data, Data in Brief), which means that the article itself is a rich and detailed description of the dataset. As you may have guessed, this option is mainly chosen for rather large, sampling-intensive datasets. Last but not least, it is also possible to publish an independent (without connected publication) dataset in a repository and this is often required by funders like the DFG or EU. Irrespective of the publication option, there are common good practices when publishing data, namely
 
 -   indicating in the article that data and/or code are available,
 -   defining usage conditions,
@@ -20,7 +20,7 @@ These will be handled in the course of this chapter.
 
 Even though publishing data (and code) is a prerequisite for transparent and reproducible research do note that in some cases the legal basis may prevent you from doing so. This most commonly concerns copyright or data protection issues. E.g., someone else may have the copyrights on the data you are working with and they do not allow the data to be published. Or when working with personal data (i.e., data from identifiable living people), you would violate subjects' rights according to the general data protection regulation (GDPR) when publishing these. 
 
-There is a very nice [decision tree](https://zenodo.org/doi/10.5281/zenodo.3368292) (unfortunately only in German) that can help you find out whether and under what conditions you can publish your data set. Broadly speaking, publishing personal data is only possible if either they can be fully anonymized (and no longer fall under GDPR) or if participants consented to their data being published. It is hence important to consider even before collecting personal data, whether they ought to be published to eventually include that in the consent form. If this topic is of interest to your research also check out Felix Schönbrodt's lecture on ["Data anonymity"](https://osf.io/j6fy8) from the Open Research Summer School 2023. 
+There is a very nice [decision tree](https://zenodo.org/doi/10.5281/zenodo.3368292) (unfortunately only in German) that can help you find out whether and under what conditions you can publish your dataset. Broadly speaking, publishing personal data is only possible if either they can be fully anonymized (and no longer fall under GDPR) or if participants consented to their data being published. It is hence important to consider even before collecting personal data, whether they ought to be published to eventually include that in the consent form. If this topic is of interest to your research also check out Felix Schönbrodt's lecture on ["Data anonymity"](https://osf.io/j6fy8) from the Open Research Summer School 2023. 
 
 In seldom cases publishing data can also be limited due to concerns of national security. You should take a few minutes to consider whether your research could be misused by foreign powers. Also consider getting in contact with your supervisor, research department and/or legal department to clarify whether elements of export control policies might apply to your research.