diff --git a/topics/assembly/tutorials/assembly-with-preprocessing/tutorial.md b/topics/assembly/tutorials/assembly-with-preprocessing/tutorial.md
index 05d7565a4890e..c629742be1000 100644
--- a/topics/assembly/tutorials/assembly-with-preprocessing/tutorial.md
+++ b/topics/assembly/tutorials/assembly-with-preprocessing/tutorial.md
@@ -127,6 +127,7 @@ steps are independent of the data source you choose.
> 1. Create a new history for this tutorial and give it a proper name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Create a new dataset listing the SRA accession numbers of the Illumina paired-end input data for this tutorial:
@@ -220,6 +221,7 @@ steps are independent of the data source you choose.
> 1. Create a new history for this tutorial and give it a proper name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import Illumina-sequenced reads data from [Zenodo](https://zenodo.org/record/3732359)
diff --git a/topics/assembly/tutorials/chloroplast-assembly/tutorial.md b/topics/assembly/tutorials/chloroplast-assembly/tutorial.md
index 9a9a48c97c591..8329d4126c8fd 100644
--- a/topics/assembly/tutorials/chloroplast-assembly/tutorial.md
+++ b/topics/assembly/tutorials/chloroplast-assembly/tutorial.md
@@ -51,6 +51,7 @@ Let's start with uploading the data.
> 1. Create a new history for this tutorial and give it a proper name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import from [Zenodo](https://zenodo.org/record/3567224) or a data library (ask your instructor):
@@ -63,6 +64,7 @@ Let's start with uploading the data.
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
{: .hands_on}
diff --git a/topics/assembly/tutorials/largegenome/tutorial.md b/topics/assembly/tutorials/largegenome/tutorial.md
index cd625b9de8217..f969991a6afc6 100644
--- a/topics/assembly/tutorials/largegenome/tutorial.md
+++ b/topics/assembly/tutorials/largegenome/tutorial.md
@@ -126,6 +126,7 @@ We are also using a reference genome *Arabidopsis thaliana* for a later comparis
> 1. Create a new history for this tutorial and give it a proper name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import from [Zenodo](https://zenodo.org/record/7055935) or a data library (ask your instructor):
@@ -142,6 +143,7 @@ We are also using a reference genome *Arabidopsis thaliana* for a later comparis
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. Check that the datatypes for the three files of sequencing reads are `fastq.gz`, not `fastqsanger.gz` and change datatype if needed.
diff --git a/topics/assembly/tutorials/unicycler-assembly/tutorial.md b/topics/assembly/tutorials/unicycler-assembly/tutorial.md
index 99caf163917a9..ecd594fa856f4 100644
--- a/topics/assembly/tutorials/unicycler-assembly/tutorial.md
+++ b/topics/assembly/tutorials/unicycler-assembly/tutorial.md
@@ -164,6 +164,7 @@ In this example we will use a downsampled version of *E. coli* C-1 Illumina and
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
{: .hands_on}
diff --git a/topics/computational-chemistry/tutorials/md-simulation-namd/tutorial.md b/topics/computational-chemistry/tutorials/md-simulation-namd/tutorial.md
index d29dda0cb3d60..089a1148a3475 100644
--- a/topics/computational-chemistry/tutorials/md-simulation-namd/tutorial.md
+++ b/topics/computational-chemistry/tutorials/md-simulation-namd/tutorial.md
@@ -89,6 +89,7 @@ This tool will:
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. Rename the datasets.
diff --git a/topics/computational-chemistry/tutorials/setting-up-molecular-systems/tutorial.md b/topics/computational-chemistry/tutorials/setting-up-molecular-systems/tutorial.md
index 4c16bd222ce34..f92f34d5ba01c 100644
--- a/topics/computational-chemistry/tutorials/setting-up-molecular-systems/tutorial.md
+++ b/topics/computational-chemistry/tutorials/setting-up-molecular-systems/tutorial.md
@@ -107,6 +107,7 @@ The 7CEL [PDB](https://files.rcsb.org/download/7CEL.pdb) does not include a comp
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. Rename the datasets.
diff --git a/topics/ecology/tutorials/PAMPA-toolsuite-tutorial/tutorial.md b/topics/ecology/tutorials/PAMPA-toolsuite-tutorial/tutorial.md
index ea3cdf8a49aa6..a9bf90c40a150 100644
--- a/topics/ecology/tutorials/PAMPA-toolsuite-tutorial/tutorial.md
+++ b/topics/ecology/tutorials/PAMPA-toolsuite-tutorial/tutorial.md
@@ -115,6 +115,7 @@ This first step consist of downloading and properly prepare the data to use it i
> for you to find it again later if needed.
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the CSV files from [Zenodo](https://doi.org/10.5281/zenodo.4264936) via link with the three following links
diff --git a/topics/ecology/tutorials/genetic-map-rad-seq/tutorial.md b/topics/ecology/tutorials/genetic-map-rad-seq/tutorial.md
index e264f0a959e68..55a7ea10b8857 100644
--- a/topics/ecology/tutorials/genetic-map-rad-seq/tutorial.md
+++ b/topics/ecology/tutorials/genetic-map-rad-seq/tutorial.md
@@ -53,6 +53,7 @@ The original data is available at [STACKS website](http://catchenlab.life.illino
> 1. Create a new history for this RAD-seq exercise.
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import Fasta files from parents and 20 progeny.
diff --git a/topics/ecology/tutorials/species-distribution-modeling/tutorial.md b/topics/ecology/tutorials/species-distribution-modeling/tutorial.md
index 79eaf32539c9d..c8351995633f5 100644
--- a/topics/ecology/tutorials/species-distribution-modeling/tutorial.md
+++ b/topics/ecology/tutorials/species-distribution-modeling/tutorial.md
@@ -51,6 +51,7 @@ In this study the datasets are all imported from the [GBIF](https://www.gbif.org
> 1. Create a new history for this tutorial and give it a proper name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. **Get species occurrences data** {% icon tool %} with the following parameters
diff --git a/topics/epigenetics/tutorials/atac-seq/tutorial.md b/topics/epigenetics/tutorials/atac-seq/tutorial.md
index 98f99639b3223..a642457defa76 100644
--- a/topics/epigenetics/tutorials/atac-seq/tutorial.md
+++ b/topics/epigenetics/tutorials/atac-seq/tutorial.md
@@ -73,6 +73,7 @@ We first need to download the sequenced reads (FASTQs) as well as other annotati
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. Add a tag called `#SRR891268_R1` to the R1 file and a tag called `#SRR891268_R2` to the R2 file.
diff --git a/topics/epigenetics/tutorials/formation_of_super-structures_on_xi/tutorial.md b/topics/epigenetics/tutorials/formation_of_super-structures_on_xi/tutorial.md
index 43016dc82e323..5196ad0481ec7 100644
--- a/topics/epigenetics/tutorials/formation_of_super-structures_on_xi/tutorial.md
+++ b/topics/epigenetics/tutorials/formation_of_super-structures_on_xi/tutorial.md
@@ -95,6 +95,7 @@ To save time, we will do it only on the data of one sample `wt_H3K4me3_rep1` whi
> 1. Create a new history for this tutorial and give it a proper name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import `wt_H3K4me3_read1.fastq.gz` and `wt_H3K4me3_read2.fastq.gz` from [Zenodo](https://zenodo.org/record/1324070) or from the data library (ask your instructor)
@@ -105,6 +106,7 @@ To save time, we will do it only on the data of one sample `wt_H3K4me3_rep1` whi
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> As default, Galaxy takes the link as name, so rename them.
diff --git a/topics/galaxy-interface/tutorials/intermine/tutorial.md b/topics/galaxy-interface/tutorials/intermine/tutorial.md
index 339c3fccfe82b..ba57866562369 100644
--- a/topics/galaxy-interface/tutorials/intermine/tutorial.md
+++ b/topics/galaxy-interface/tutorials/intermine/tutorial.md
@@ -78,6 +78,7 @@ You have now exported your query results from InterMine to Galaxy.
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 2. Rename the dataset to `GenesLocatedOnChromosome4`
diff --git a/topics/genome-annotation/tutorials/annotation-with-maker/content.md b/topics/genome-annotation/tutorials/annotation-with-maker/content.md
index 6305daa5b4824..8d0c090f56758 100644
--- a/topics/genome-annotation/tutorials/annotation-with-maker/content.md
+++ b/topics/genome-annotation/tutorials/annotation-with-maker/content.md
@@ -85,6 +85,7 @@ To annotate a genome using Maker, you need the following files:
> {% endif %}
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. Rename the datasets
diff --git a/topics/genome-annotation/tutorials/annotation-with-prokka/tutorial.md b/topics/genome-annotation/tutorials/annotation-with-prokka/tutorial.md
index 2caaaa6af0f5f..d55f5b2c42da1 100644
--- a/topics/genome-annotation/tutorials/annotation-with-prokka/tutorial.md
+++ b/topics/genome-annotation/tutorials/annotation-with-prokka/tutorial.md
@@ -57,6 +57,7 @@ Prokka requires assembled contigs.
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
{: .hands_on}
diff --git a/topics/genome-annotation/tutorials/apollo-euk/tutorial.md b/topics/genome-annotation/tutorials/apollo-euk/tutorial.md
index e2a553be92d55..e59d002d3bc71 100644
--- a/topics/genome-annotation/tutorials/apollo-euk/tutorial.md
+++ b/topics/genome-annotation/tutorials/apollo-euk/tutorial.md
@@ -114,6 +114,7 @@ In this tutorial we use the same data as in the [Funannotate](../funannotate/tut
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
{: .hands_on}
diff --git a/topics/genome-annotation/tutorials/apollo/tutorial.md b/topics/genome-annotation/tutorials/apollo/tutorial.md
index dff0a5073d204..5e0ea5a764f1a 100644
--- a/topics/genome-annotation/tutorials/apollo/tutorial.md
+++ b/topics/genome-annotation/tutorials/apollo/tutorial.md
@@ -94,6 +94,7 @@ In this tutorial we have obtained some data from NCBI related to [*Escherichia c
> 0. Create a new history and give it a good name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 1. Click the upload icon {% icon galaxy-upload %}
diff --git a/topics/genome-annotation/tutorials/funannotate/tutorial.md b/topics/genome-annotation/tutorials/funannotate/tutorial.md
index 49f156b242030..1ee4303932663 100644
--- a/topics/genome-annotation/tutorials/funannotate/tutorial.md
+++ b/topics/genome-annotation/tutorials/funannotate/tutorial.md
@@ -104,6 +104,7 @@ To annotate our genome using Funannotate, we will use the following files:
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
{: .hands_on}
diff --git a/topics/genome-annotation/tutorials/functional/tutorial.md b/topics/genome-annotation/tutorials/functional/tutorial.md
index fc561fa105ae1..72d2fb248e32b 100644
--- a/topics/genome-annotation/tutorials/functional/tutorial.md
+++ b/topics/genome-annotation/tutorials/functional/tutorial.md
@@ -60,6 +60,7 @@ We will annotate a small set of **protein sequences**. These sequences were pred
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
{: .hands_on}
diff --git a/topics/genome-annotation/tutorials/hpc-for-lsgc/tutorial.md b/topics/genome-annotation/tutorials/hpc-for-lsgc/tutorial.md
index 96dff181db0d3..d7356fd7397ed 100644
--- a/topics/genome-annotation/tutorials/hpc-for-lsgc/tutorial.md
+++ b/topics/genome-annotation/tutorials/hpc-for-lsgc/tutorial.md
@@ -67,6 +67,7 @@ First we will be uploading the data to Galaxy so that we can run our tools on it
> 1. Create a new history for this tutorial and give it a descriptive name (e.g. "Mycoplasma comparison hands-on")
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import `mycoplasma-232.fasta` and `mycoplasma-7422.fasta` from [Zenodo](https://zenodo.org/record/4485547#.YBj8XHmCGUk).
@@ -83,6 +84,7 @@ First we will be uploading the data to Galaxy so that we can run our tools on it
> 3. Rename the files to `232.fasta` and `7422.fasta` and change the datatype if needed to `fasta` (Galaxy will auto-discover the format of the files).
>
> {% snippet faqs/galaxy/datasets_rename.md %}
+>
> {% snippet faqs/galaxy/datasets_change_datatype.md %}
>
{: .hands_on}
@@ -170,6 +172,7 @@ Let's extract the repeats highlighted in red (Figure 1, right) which are aligned
> 2. Change the name of the output file `Text reformatting on data ...` to `repeats` Change the datatype to `.fasta`.
>
> {% snippet faqs/galaxy/datasets_rename.md %}
+>
> {% snippet faqs/galaxy/datasets_change_datatype.md %}
>
> 3. {% tool [ClustalW](toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_awk_tool/1.1.2) %} with the following parameters
@@ -259,6 +262,7 @@ Let us now jump into the hands-on! We will learn how to compare chromosomes with
> 1. Create a new history for this tutorial and give it a descriptive name (e.g. "Chromosome comparison hands-on")
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import `aegilops_tauschii_chr1.fasta` and `triticum_aestivum_chr1.fasta` from [Zenodo](https://zenodo.org/record/4485547#.YBj8XHmCGUk).
@@ -275,7 +279,9 @@ Let us now jump into the hands-on! We will learn how to compare chromosomes with
> 3. Rename the files to `aegilops.fasta` and `triticum.fasta` and change the datatype to `fasta` if needed.
>
> {% snippet faqs/galaxy/datasets_rename.md %}
+>
> {% snippet faqs/galaxy/datasets_change_datatype.md %}
+>
> > Note on the name of the chromosomes
> > Please notice that these chromosomes are not labelled as "chromosome 1" at their original sources. We have renamed them for simplicity.
> {: .comment}
diff --git a/topics/genome-annotation/tutorials/lncrna/tutorial.md b/topics/genome-annotation/tutorials/lncrna/tutorial.md
index b1bd11b34e177..9824b0e430ec5 100644
--- a/topics/genome-annotation/tutorials/lncrna/tutorial.md
+++ b/topics/genome-annotation/tutorials/lncrna/tutorial.md
@@ -99,6 +99,7 @@ To assemble transcriptome with StringTie and annotate {lncRNAs} with FEELnc, we
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
{: .hands_on}
diff --git a/topics/imaging/tutorials/imaging-introduction/tutorial.md b/topics/imaging/tutorials/imaging-introduction/tutorial.md
index 78a9b818bcac1..4d78cbf0ef36b 100644
--- a/topics/imaging/tutorials/imaging-introduction/tutorial.md
+++ b/topics/imaging/tutorials/imaging-introduction/tutorial.md
@@ -70,6 +70,7 @@ Our objective is to automatically count the number of cells contained in this im
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. **Unzip file** {% icon tool %} with the following parameters:
diff --git a/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.md b/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.md
index f4df9ba87ac20..d7991c628d2a7 100644
--- a/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.md
+++ b/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.md
@@ -121,6 +121,7 @@ In other words, using a workflow makes it possible to apply the same procedure t
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
>
@@ -136,6 +137,7 @@ In other words, using a workflow makes it possible to apply the same procedure t
> - Option 2: Datatypes can be **manually set**
>
> {% snippet faqs/galaxy/datasets_detect_datatype.md datatype="datatypes" %}
+>
> {% snippet faqs/galaxy/datasets_change_datatype.md datatype="csv" %}
>
> 4. Add an `#iris` tag {% icon galaxy-tags %} to the dataset
@@ -634,6 +636,7 @@ Now that we have built our workflow, let's use it on some different data. For ex
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. **Rename** {% icon galaxy-pencil %} the dataset to `diamonds`
diff --git a/topics/introduction/tutorials/galaxy-reproduce/tutorial.md b/topics/introduction/tutorials/galaxy-reproduce/tutorial.md
index d3bfb823b7668..65ddf7095870d 100644
--- a/topics/introduction/tutorials/galaxy-reproduce/tutorial.md
+++ b/topics/introduction/tutorials/galaxy-reproduce/tutorial.md
@@ -113,6 +113,7 @@ Each analysis in Galaxy starts by creating a new analysis history and loading da
> - Option 2: Datatypes can be **manually set**
>
> {% snippet faqs/galaxy/datasets_detect_datatype.md datatype="datatypes" %}
+>
> {% snippet faqs/galaxy/datasets_change_datatype.md datatype="csv" %}
>
> 4. Add an `#iris` tag {% icon galaxy-tags %} to the dataset
diff --git a/topics/metagenomics/tutorials/metagenomics-assembly/tutorial.md b/topics/metagenomics/tutorials/metagenomics-assembly/tutorial.md
index 505f1ccae4613..9a631cf047f87 100644
--- a/topics/metagenomics/tutorials/metagenomics-assembly/tutorial.md
+++ b/topics/metagenomics/tutorials/metagenomics-assembly/tutorial.md
@@ -122,6 +122,7 @@ In case of a not very large dataset it's more convenient to upload data directly
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> >
diff --git a/topics/metagenomics/tutorials/nanopore-16S-metagenomics/tutorial.md b/topics/metagenomics/tutorials/nanopore-16S-metagenomics/tutorial.md
index 33f5b5f3c2995..10abd4087aab1 100644
--- a/topics/metagenomics/tutorials/nanopore-16S-metagenomics/tutorial.md
+++ b/topics/metagenomics/tutorials/nanopore-16S-metagenomics/tutorial.md
@@ -99,6 +99,7 @@ In this example, we will use a dataset originally hosted in the __NCBI SRA datab
> - Assign a name to the new collection: `soil collection`
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
>
diff --git a/topics/metagenomics/tutorials/pathogen-detection-from-nanopore-foodborne-data/tutorial.md b/topics/metagenomics/tutorials/pathogen-detection-from-nanopore-foodborne-data/tutorial.md
index 172158069cfec..57639b4b0293e 100644
--- a/topics/metagenomics/tutorials/pathogen-detection-from-nanopore-foodborne-data/tutorial.md
+++ b/topics/metagenomics/tutorials/pathogen-detection-from-nanopore-foodborne-data/tutorial.md
@@ -103,6 +103,7 @@ Before we can begin any Galaxy analysis, we need to upload the input data: FASTQ
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 2. Add a tag to each dataset (one with `#Barcode10` and the other `#Barcode11`)
diff --git a/topics/metagenomics/tutorials/taxonomic-profiling/tutorial.md b/topics/metagenomics/tutorials/taxonomic-profiling/tutorial.md
index 4ba263cd2d8cd..555a31e90bf4f 100644
--- a/topics/metagenomics/tutorials/taxonomic-profiling/tutorial.md
+++ b/topics/metagenomics/tutorials/taxonomic-profiling/tutorial.md
@@ -129,6 +129,7 @@ Now, we need to import the data
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 2. Create a paired collection.
diff --git a/topics/proteomics/tutorials/encyclopedia/tutorial.md b/topics/proteomics/tutorials/encyclopedia/tutorial.md
index 1f6c26d569d21..debb2d809ab20 100644
--- a/topics/proteomics/tutorials/encyclopedia/tutorial.md
+++ b/topics/proteomics/tutorials/encyclopedia/tutorial.md
@@ -99,6 +99,7 @@ In a typical the DIA-MS experiment, the precursor scan usually ranges between 40
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. For all the datasets that you have just uploaded, please rename them as follows:
diff --git a/topics/proteomics/tutorials/metaproteomics/tutorial.md b/topics/proteomics/tutorials/metaproteomics/tutorial.md
index 3235c93b7f456..faebe249b5862 100644
--- a/topics/proteomics/tutorials/metaproteomics/tutorial.md
+++ b/topics/proteomics/tutorials/metaproteomics/tutorial.md
@@ -64,6 +64,7 @@ In this tutorial, we will get the data from Zenodo: [
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the three MGF MS/MS files and the FASTA sequence file from Zenodo.
diff --git a/topics/proteomics/tutorials/metaquantome-data-creation/tutorial.md b/topics/proteomics/tutorials/metaquantome-data-creation/tutorial.md
index be3967022129e..39c40cc021b85 100644
--- a/topics/proteomics/tutorials/metaquantome-data-creation/tutorial.md
+++ b/topics/proteomics/tutorials/metaquantome-data-creation/tutorial.md
@@ -80,6 +80,7 @@ The first step in a tutorial is to get the data from the zenodo link provided an
> 1. Create a new history for this tutorial and give it a meaningful name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the files: 6 MZML files, a Protein FASTA file, and an Experimental Design file from [Zenodo]({{ page.zenodo_link }})
@@ -93,7 +94,9 @@ The first step in a tutorial is to get the data from the zenodo link provided an
> https://zenodo.org/record/4037137/files/T7A_1.mzml
> https://zenodo.org/record/4037137/files/T7B_1.mzml
> ```
+>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
>
diff --git a/topics/proteomics/tutorials/metaquantome-function/tutorial.md b/topics/proteomics/tutorials/metaquantome-function/tutorial.md
index 430bf7aa0aa8d..fbbb4dc1a1d68 100644
--- a/topics/proteomics/tutorials/metaquantome-function/tutorial.md
+++ b/topics/proteomics/tutorials/metaquantome-function/tutorial.md
@@ -74,6 +74,7 @@ The first step in this tutorial is to get the data from the Zenodo link provided
> 1. Create a new history for this tutorial and give it a meaningful name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the files from [Zenodo]({{ page.zenodo_link }}): a Functional File and an Intensity file.
diff --git a/topics/proteomics/tutorials/metaquantome-taxonomy/tutorial.md b/topics/proteomics/tutorials/metaquantome-taxonomy/tutorial.md
index e0a467b84e639..2e0fa02041723 100644
--- a/topics/proteomics/tutorials/metaquantome-taxonomy/tutorial.md
+++ b/topics/proteomics/tutorials/metaquantome-taxonomy/tutorial.md
@@ -72,6 +72,7 @@ The first step in this tutorial is to get the data from the Zenodo link provided
> 1. Create a new history for this tutorial and give it a meaningful name.
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the files from [Zenodo]({{ page.zenodo_link }}): a Functional File and an Intensity file.
diff --git a/topics/proteomics/tutorials/ml-modeling-of-anti-cancer-peptides/tutorial.md b/topics/proteomics/tutorials/ml-modeling-of-anti-cancer-peptides/tutorial.md
index a03f0f7f391c2..b06134c41936f 100644
--- a/topics/proteomics/tutorials/ml-modeling-of-anti-cancer-peptides/tutorial.md
+++ b/topics/proteomics/tutorials/ml-modeling-of-anti-cancer-peptides/tutorial.md
@@ -75,6 +75,7 @@ A high-quality dataset was retrieved from a previously published work {% cite ha
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. Rename the datasets to their basename (ACPs.fasta, non_ACPs.fasta)
diff --git a/topics/proteomics/tutorials/protein-quant-sil/tutorial.md b/topics/proteomics/tutorials/protein-quant-sil/tutorial.md
index 0a1b8837571f8..db40dfd35e039 100755
--- a/topics/proteomics/tutorials/protein-quant-sil/tutorial.md
+++ b/topics/proteomics/tutorials/protein-quant-sil/tutorial.md
@@ -94,6 +94,7 @@ A common problem in mass spectrometry are misassigned mono-isotopic precursor pe
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> >
diff --git a/topics/sequence-analysis/tutorials/human-reads-removal/tutorial.md b/topics/sequence-analysis/tutorials/human-reads-removal/tutorial.md
index 19a9b7c3029eb..97f399926bd16 100644
--- a/topics/sequence-analysis/tutorials/human-reads-removal/tutorial.md
+++ b/topics/sequence-analysis/tutorials/human-reads-removal/tutorial.md
@@ -71,6 +71,7 @@ As always, it is best to give each analysis you are performing with Galaxy its o
> 1. Create a new history for this tutorial and give it a proper name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
{: .hands_on}
diff --git a/topics/sequence-analysis/tutorials/mapping/tutorial.md b/topics/sequence-analysis/tutorials/mapping/tutorial.md
index d148d8253e20f..05bd7faf7d5a5 100644
--- a/topics/sequence-analysis/tutorials/mapping/tutorial.md
+++ b/topics/sequence-analysis/tutorials/mapping/tutorial.md
@@ -65,6 +65,7 @@ In the following, we will process a dataset with the mapper **Bowtie2** and we w
> 1. Create a new history for this tutorial and give it a proper name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import `wt_H3K4me3_read1.fastq.gz` and `wt_H3K4me3_read2.fastq.gz` from [Zenodo](https://zenodo.org/record/1324070) or from the data library (ask your instructor)
@@ -75,6 +76,7 @@ In the following, we will process a dataset with the mapper **Bowtie2** and we w
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> As default, Galaxy takes the link as name, so rename them.
diff --git a/topics/sequence-analysis/tutorials/ncbi-blast-against-the-madland/tutorial.md b/topics/sequence-analysis/tutorials/ncbi-blast-against-the-madland/tutorial.md
index d470a281e8922..77baa948b7f5d 100644
--- a/topics/sequence-analysis/tutorials/ncbi-blast-against-the-madland/tutorial.md
+++ b/topics/sequence-analysis/tutorials/ncbi-blast-against-the-madland/tutorial.md
@@ -45,6 +45,7 @@ MAdLandDB is a protein database comprising of a comprehensive collection of full
> 1. Create a new history for this tutorial and give it a proper name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the file `query.faa` from [Zenodo](https://doi.org/10.5281/zenodo.7524427)
diff --git a/topics/sequence-analysis/tutorials/quality-control/tutorial.md b/topics/sequence-analysis/tutorials/quality-control/tutorial.md
index e37b89f2f4f5a..060d7e82b68a6 100644
--- a/topics/sequence-analysis/tutorials/quality-control/tutorial.md
+++ b/topics/sequence-analysis/tutorials/quality-control/tutorial.md
@@ -65,6 +65,7 @@ Sequence quality control is therefore an essential first step in your analysis.
> 1. Create a new history for this tutorial and give it a proper name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the file `female_oral2.fastq-4143.gz` from [Zenodo](https://zenodo.org/record/3977236) or from the data library (ask your instructor)
@@ -75,6 +76,7 @@ Sequence quality control is therefore an essential first step in your analysis.
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. Rename the imported dataset to `Reads`.
diff --git a/topics/single-cell/tutorials/scrna-raceid/tutorial.md b/topics/single-cell/tutorials/scrna-raceid/tutorial.md
index d8bd2c826ca06..d3bef5d6e9e83 100644
--- a/topics/single-cell/tutorials/scrna-raceid/tutorial.md
+++ b/topics/single-cell/tutorials/scrna-raceid/tutorial.md
@@ -96,6 +96,7 @@ First, let's setup our history and initial dataset.
> 1. Create a new history for this tutorial and name it "RaceID on scRNA"
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the file from [Zenodo](https://zenodo.org/record/1511582) or from the shared data library
@@ -105,6 +106,7 @@ First, let's setup our history and initial dataset.
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. Rename the dataset to *"intestinal"*
diff --git a/topics/single-cell/tutorials/scrna-scanpy-pbmc3k/tutorial.md b/topics/single-cell/tutorials/scrna-scanpy-pbmc3k/tutorial.md
index c28542167169e..898c75d13d9de 100644
--- a/topics/single-cell/tutorials/scrna-scanpy-pbmc3k/tutorial.md
+++ b/topics/single-cell/tutorials/scrna-scanpy-pbmc3k/tutorial.md
@@ -93,6 +93,7 @@ In this matrix, the values represent the number for each feature (i.e. gene; row
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. Rename the datasets
diff --git a/topics/single-cell/tutorials/scrna-scater-qc/tutorial.md b/topics/single-cell/tutorials/scrna-scater-qc/tutorial.md
index 94578265484bd..15043f6acf138 100644
--- a/topics/single-cell/tutorials/scrna-scater-qc/tutorial.md
+++ b/topics/single-cell/tutorials/scrna-scater-qc/tutorial.md
@@ -90,6 +90,7 @@ We will use a pre-calculated expression matrix, along with some additional metad
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
{: .hands_on}
diff --git a/topics/statistics/tutorials/clustering_machinelearning/tutorial.md b/topics/statistics/tutorials/clustering_machinelearning/tutorial.md
index 7a9712dcd581c..ac653c8e9aea6 100644
--- a/topics/statistics/tutorials/clustering_machinelearning/tutorial.md
+++ b/topics/statistics/tutorials/clustering_machinelearning/tutorial.md
@@ -145,6 +145,7 @@ At the first step, we should upload the iris dataset and two other datasets whic
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
>
@@ -160,6 +161,7 @@ At the first step, we should upload the iris dataset and two other datasets whic
> - Option 2: Datatypes can be **manually set**
>
> {% snippet faqs/galaxy/datasets_detect_datatype.md datatype="datatypes" %}
+>
> {% snippet faqs/galaxy/datasets_change_datatype.md datatype="csv" %}
>
{: .hands_on}
diff --git a/topics/statistics/tutorials/intro_deep_learning/tutorial.md b/topics/statistics/tutorials/intro_deep_learning/tutorial.md
index 7d0dd77ab4b1d..8fd5854e492f6 100755
--- a/topics/statistics/tutorials/intro_deep_learning/tutorial.md
+++ b/topics/statistics/tutorials/intro_deep_learning/tutorial.md
@@ -119,6 +119,7 @@ The datasets used for this tutorial contain gene expression profiles of humans s
> 3. Rename the datasets as `X_test`, `X_train`, `y_test` and `y_train` respectively.
>
> {% snippet faqs/galaxy/datasets_rename.md %}
+>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
>
> 4. Check that the datatype is `tabular`.
diff --git a/topics/transcriptomics/tutorials/full-de-novo/tutorial.md b/topics/transcriptomics/tutorials/full-de-novo/tutorial.md
index 1bd053f6193d6..054a12f5f5aa8 100644
--- a/topics/transcriptomics/tutorials/full-de-novo/tutorial.md
+++ b/topics/transcriptomics/tutorials/full-de-novo/tutorial.md
@@ -88,6 +88,7 @@ Why do we need to correct those?
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md collection=true collection_type="List of Pairs" collection_name="fastq_raw" %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. Rename the datasets
diff --git a/topics/transcriptomics/tutorials/network-analysis-with-heinz/tutorial.md b/topics/transcriptomics/tutorials/network-analysis-with-heinz/tutorial.md
index 50b0374f09f87..d37c01b552456 100644
--- a/topics/transcriptomics/tutorials/network-analysis-with-heinz/tutorial.md
+++ b/topics/transcriptomics/tutorials/network-analysis-with-heinz/tutorial.md
@@ -98,6 +98,7 @@ After knowing what our input data are like, let's get them into Galaxy history:
> 1. Make sure we have an empty Galaxy history. Give it a sensible name.
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. **Upload Disease Dataset**
diff --git a/topics/transcriptomics/tutorials/ref-based/tutorial.md b/topics/transcriptomics/tutorials/ref-based/tutorial.md
index ffaf5e41f4cfd..19a2dc80bfc05 100644
--- a/topics/transcriptomics/tutorials/ref-based/tutorial.md
+++ b/topics/transcriptomics/tutorials/ref-based/tutorial.md
@@ -110,6 +110,7 @@ In the second part of the tutorial, read counts of all 7 samples are used to ide
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> >
diff --git a/topics/transcriptomics/tutorials/rna-interactome/tutorial.md b/topics/transcriptomics/tutorials/rna-interactome/tutorial.md
index 6d85a0297861b..8164229f30f1d 100644
--- a/topics/transcriptomics/tutorials/rna-interactome/tutorial.md
+++ b/topics/transcriptomics/tutorials/rna-interactome/tutorial.md
@@ -82,6 +82,7 @@ results. `ChiRA` uses `BWA-MEM` or `CLAN` to map the reads. Subsequently, it als
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> 3. Rename the datasets
diff --git a/topics/transcriptomics/tutorials/rna-seq-analysis-with-askomics-it/tutorial.md b/topics/transcriptomics/tutorials/rna-seq-analysis-with-askomics-it/tutorial.md
index 0e45321fdeb07..5c6f624bd8d04 100644
--- a/topics/transcriptomics/tutorials/rna-seq-analysis-with-askomics-it/tutorial.md
+++ b/topics/transcriptomics/tutorials/rna-seq-analysis-with-askomics-it/tutorial.md
@@ -88,6 +88,7 @@ We will use four files for this analysis:
> 1. Create a new history for this RNA-seq exercise e.g. `RNA-seq AskOmics`
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the files.
@@ -97,6 +98,7 @@ We will use four files for this analysis:
> - Option 2: From [Zenodo](https://zenodo.org/record/3950862)
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> - You can paste the links below into the **Paste/Fetch** box:
diff --git a/topics/transcriptomics/tutorials/rna-seq-bash-star-align/tutorial.md b/topics/transcriptomics/tutorials/rna-seq-bash-star-align/tutorial.md
index ee3df320a5be6..a76190f5ae7ac 100644
--- a/topics/transcriptomics/tutorials/rna-seq-bash-star-align/tutorial.md
+++ b/topics/transcriptomics/tutorials/rna-seq-bash-star-align/tutorial.md
@@ -78,6 +78,7 @@ The "Data Upload" process is the only one in this tutorial that takes place dire
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> >
diff --git a/topics/transcriptomics/tutorials/rna-seq-reads-to-counts/tutorial.md b/topics/transcriptomics/tutorials/rna-seq-reads-to-counts/tutorial.md
index 931796eef0d89..9abce58432739 100644
--- a/topics/transcriptomics/tutorials/rna-seq-reads-to-counts/tutorial.md
+++ b/topics/transcriptomics/tutorials/rna-seq-reads-to-counts/tutorial.md
@@ -137,6 +137,7 @@ In order to get these files into Galaxy, we will want to do a few things:
> 1. Create a new history for this tutorial e.g. `RNA-seq reads to counts`
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the files from Zenodo using Galaxy's Rule-based Uploader.
diff --git a/topics/transcriptomics/tutorials/rna-seq-viz-with-heatmap2/tutorial.md b/topics/transcriptomics/tutorials/rna-seq-viz-with-heatmap2/tutorial.md
index 615a19bac60aa..90b693ad167a9 100644
--- a/topics/transcriptomics/tutorials/rna-seq-viz-with-heatmap2/tutorial.md
+++ b/topics/transcriptomics/tutorials/rna-seq-viz-with-heatmap2/tutorial.md
@@ -51,6 +51,7 @@ We will use three files for this analysis:
> 1. Create a new history for this RNA-seq exercise e.g. `RNA-seq heatmap`
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the normalized counts table.
@@ -61,6 +62,7 @@ We will use three files for this analysis:
>
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
>
diff --git a/topics/transcriptomics/tutorials/rna-seq-viz-with-volcanoplot-r/tutorial.md b/topics/transcriptomics/tutorials/rna-seq-viz-with-volcanoplot-r/tutorial.md
index c538a20242ae1..71844a39150be 100644
--- a/topics/transcriptomics/tutorials/rna-seq-viz-with-volcanoplot-r/tutorial.md
+++ b/topics/transcriptomics/tutorials/rna-seq-viz-with-volcanoplot-r/tutorial.md
@@ -66,6 +66,7 @@ We will use one file for this analysis:
> 1. Create a new history for this exercise e.g. `Volcano plot R`
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the differentially results table.
@@ -75,6 +76,7 @@ We will use one file for this analysis:
> - Option 2: From [Zenodo](https://zenodo.org/record/2529117)
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> - You can paste the link below into the **Paste/Fetch** box:
diff --git a/topics/transcriptomics/tutorials/rna-seq-viz-with-volcanoplot/tutorial.md b/topics/transcriptomics/tutorials/rna-seq-viz-with-volcanoplot/tutorial.md
index 651754cb0cfef..81abe474205c4 100644
--- a/topics/transcriptomics/tutorials/rna-seq-viz-with-volcanoplot/tutorial.md
+++ b/topics/transcriptomics/tutorials/rna-seq-viz-with-volcanoplot/tutorial.md
@@ -61,6 +61,7 @@ We will use two files for this analysis:
> 1. Create a new history for this RNA-seq exercise e.g. `Volcano plot`
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the differentially results table.
@@ -70,6 +71,7 @@ We will use two files for this analysis:
> - Option 2: From [Zenodo](https://zenodo.org/record/2529117)
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> - You can paste the links below into the **Paste/Fetch** box:
diff --git a/topics/transcriptomics/tutorials/srna/tutorial.md b/topics/transcriptomics/tutorials/srna/tutorial.md
index 0748bdebdcedd..18586813d3326 100644
--- a/topics/transcriptomics/tutorials/srna/tutorial.md
+++ b/topics/transcriptomics/tutorials/srna/tutorial.md
@@ -50,6 +50,7 @@ Due to the large size of the original sRNA-seq datasets, we have downsampled the
> 1. Create a new history and name it something meaningful (*e.g.* sRNA-seq tutorial)
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the 3 `Blank_RNAi_sRNA-seq` and 3 `Symp_RNAi_sRNA-seq` FASTQ files from [Zenodo](https://zenodo.org/record/1324070) or from the data library (ask your instructor)
@@ -64,6 +65,7 @@ Due to the large size of the original sRNA-seq datasets, we have downsampled the
> ```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
> Set the datatype of the read (.fastqsanger) files to **fastq**
diff --git a/topics/variant-analysis/tutorials/exome-seq/tutorial.md b/topics/variant-analysis/tutorials/exome-seq/tutorial.md
index 5132ca1adfc5e..b8f553003927d 100644
--- a/topics/variant-analysis/tutorials/exome-seq/tutorial.md
+++ b/topics/variant-analysis/tutorials/exome-seq/tutorial.md
@@ -149,6 +149,7 @@ data for either analysis.
> 1. Create a new history for this tutorial and give it a meaningful name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Obtain the raw sequencing data
diff --git a/topics/variant-analysis/tutorials/non-dip/tutorial.md b/topics/variant-analysis/tutorials/non-dip/tutorial.md
index b11c572a7c670..e1572de9bb9af 100644
--- a/topics/variant-analysis/tutorials/non-dip/tutorial.md
+++ b/topics/variant-analysis/tutorials/non-dip/tutorial.md
@@ -59,6 +59,7 @@ For this tutorial we have prepared a subset of data previously by our group ({%
> 1. Create a new history for this tutorial and give it a meaningful name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 1. Import files from [Zenodo](https://zenodo.org/record/1251112):
diff --git a/topics/variant-analysis/tutorials/somatic-variant-discovery/tutorial.md b/topics/variant-analysis/tutorials/somatic-variant-discovery/tutorial.md
index c8afcbb26de9e..9a6faf707720e 100644
--- a/topics/variant-analysis/tutorials/somatic-variant-discovery/tutorial.md
+++ b/topics/variant-analysis/tutorials/somatic-variant-discovery/tutorial.md
@@ -61,6 +61,7 @@ First, start with uploading and preparing the input data to analyze. The sequenc
> 1. For this tutorial, make a new history.
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the data files from
diff --git a/topics/variant-analysis/tutorials/somatic-variants/tutorial.md b/topics/variant-analysis/tutorials/somatic-variants/tutorial.md
index 72c570e2c9c50..f6986467a7ebc 100644
--- a/topics/variant-analysis/tutorials/somatic-variants/tutorial.md
+++ b/topics/variant-analysis/tutorials/somatic-variants/tutorial.md
@@ -97,6 +97,7 @@ downsampled though to include only the reads from human chromosomes 5, 12 and
> 1. Create a new history for this tutorial and give it a meaningful name
>
> {% snippet faqs/galaxy/histories_create_new.md %}
+>
> {% snippet faqs/galaxy/histories_rename.md %}
>
> 2. Import the following four files from
diff --git a/topics/variant-analysis/tutorials/tb-variant-analysis/tutorial.md b/topics/variant-analysis/tutorials/tb-variant-analysis/tutorial.md
index 54a4fc3b791c2..c456b69cc55c2 100644
--- a/topics/variant-analysis/tutorials/tb-variant-analysis/tutorial.md
+++ b/topics/variant-analysis/tutorials/tb-variant-analysis/tutorial.md
@@ -50,6 +50,7 @@ The data for today is a sample of *M. tuberculosis* [collected](https://www.ncbi
>```
>
> {% snippet faqs/galaxy/datasets_import_via_link.md %}
+>
> {% snippet faqs/galaxy/datasets_import_from_data_library.md %}
>
{: .hands_on}