Run: Accessing running instances

The Run page allows you to access your currently running tale instances.

  • Current Tale: displays the currently selected Tale instance (if it is iFrame compatible)
  • Launched Tales: shows any running Tale instances

Current Tale

The Current Tale panel displays any selected running tale. Due to technical limitations, some tales may be displayed in a separate browser tab or window.

Launched Tales

The Launched Tales panel displays a list of your running instances, if any, and allows you to access or stop them.

Access a Running Tale

To access a running tale, click on the entry in the Launched Tales panel. This will take you to the Run page or open a new tab for frontends that do not support iFrames.

Stop a Tale

To stop a running Tale, select the X from the entry in the Launched Tales panel. You will be prompted to confirm. Select Yes to stop the instance. Note that this will not delete the tale. To delete a Tale, refer to the browse page

Interacting With Tales

Once a tale is running, you’ll want to navigate to your data folders and run your scripts. Execution is done differently between RStudio and Jupyter Notebook- but the data locations remain the same.

RStudio

When starting a tale that is using an RStudio Environment, you’ll be presented with RStudio, shown below.

../_images/rstudio.png

The files that you included in your Tale during the compose process can be found in the file browser at the lower right corner in the work folder. The kitematic folder can be ignored.

../_images/work_folder.png

Navigating into work, you’ll see two folders: data and home. In the example from the compose page we added a dataset that we had registered from an external resource which means it will be located in the data folder rather than home.

../_images/data.png

Here we can see the data package that was registered from an external source. Inside contains the data and scripts used for analysis which can subsequently be run.

Jupyter Notebook

When starting a Tale that has a Jupyter Notebook Environment, you’ll be presented with a typical Notebook interface.

../_images/jupyter.png

Data and scripts are held inside the work directory. Navigating into the folder will present two additional folders: data and home.

../_images/jupyter_browse.png

If you are using data that was registered from an external resource, it can be found in the data folder. In this case, the data was obtained from a DataONE package. The data and scripts that belong to the package can be found inside the folder.

../_images/jupyter_data.png

If your data resides in your home directory, navigate to home and navigate to the folder hosts your data.