Merge pull request #104 from PennLINC/update-datalad

update datalad

docs/DataWorkflows/Datalad.md

@@ -6,7 +6,7 @@ nav_order: 0
 has_toc: false
 ---
 
-[Datalad](https://handbook.datalad.org/en/latest/) is basically GitHub for data. 
+[Datalad](https://handbook.datalad.org/en/latest/) is basically git for data. 
 
 Building on top of Git and git-annex, DataLad allows you to version control arbitrarily large files in datasets, without the need for custom data structures, central infrastructure, or third party services.
 
@@ -19,11 +19,16 @@ Building on top of Git and git-annex, DataLad allows you to version control arbi
 
 ### Installing Datalad 
 
-1. The best way to install datalad on HPC systems like cubic is using conda. First, make sure Miniconda is installed in your project folder (see instructions [here](https://pennlinc.github.io/docs/cubic#installing-miniconda-in-your-project-the-hard-way)).
+1. The best way to install datalad on HPC systems like cubic is using conda. First, make sure Miniforge is installed in your project folder (see instructions [here](https://pennlinc.github.io/docs/cubic#installing-miniforge-in-your-project)).
 2. Then, create an environment for this:
-`conda create -n dlad python=3.10`
-`conda activate dlad`
+```bash
+conda create -n dlad python=3.11
+conda activate dlad
+```
 3. Then, install datalad:
-`conda install -c conda-forge datalad`
+```bash
+conda install datalad git git-annex
+pip install --upgrade datalad # datalad from conda-forge might not be the most update
+```
 
 Note that this page is still under construction and more information may be added at a later date.