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Upload your data

In this section, we will upload our first data to the platform, and convert it to a format that can be used by the platform and all connected tools. Here you will learn how to:

  • Upload data to the platform
  • Familiarize yourself with the Orkestrator drag-n-drop
  • Have a first look at the contextual help that Orkestrator provides
  • Organize your data in Datasets

Upload data​

Uploading data to the platform is easy. You can simple drag and drop your data into the platform. Multiple files can be uploaded at once. The platform will try to auomatically detect the file type and show you the file type in the file list. Currently you can upload any datatype to the Arktiekt platform, and Arkitekt should support any filesize.

Lets try this out. Download the following file to your computer: here.

About the data

Of course you can use any data you want. However, for the sake of this tutorial, and to make sure that everything works, we recommend to use the provided file. It is a 2D image of some cells that we will use in the next section to create a 3D image.

Thats it. Your data is now uploaded to the platform. You can see it in the file list on the left. You can also see that the file type is detected.

Organize your data​

Because things might get crowded really soon, lets organize our data a bit, by creating a Dataset. Dataset are Arkitekt's way of organizing data in a hierarchical way, just like you would organize your files in folders. To create a new Dataset click on the Create Dataset button in the action bar. Just give it a name and hit enter. A new Dataset will be created. You can now drag and drop your data into the Dataset to organize it. Let's see this in action:

When dragging and dropping your data, Arkitekt will give you contextual help about Actions that you can perform on this particular data. For example when you drag and drop a file, and you just started your drag-n-drop arkitekt will give you contextually relevant Actions that you can perform on the data itself. Here, for example you can see a button for delete and a download button (sadly not working currently on the app, but only on the webapp), if you hover over the file itself. However these Actions can also be associative: If you drag over the Dataset with the File, you will see that you can move the file to another Dataset.

If that doesn't make sense to you, don't worry. We will explain this in more detail in the next few sections. For now, just remember that you can drag and drop items over each other, and Arktiekt will give you information about what to do with your data. One more things however: broadly Actions fall into two categories:

  1. Manage Actions: These actions are integrated platform actions that help you manage your data. For example you can delete data, or move it to another Dataset. Manage Actions are however no image processing actions. These actions are always available.

  2. Tool Actions: These actions are provided by your tools that you have installed on the platform. We haven't seen any of these yet, but we will see them in the next section. These actions are powered by the nodes that your applications might provide.

About Accessibility

As show Drag and Drop plays a crucial role when interfacing with the Orkestrator interface. Most of the time, you will be able to drag and drop data to associate with each other, or to organize it. However drag and drop is not the most accessible technology. Therefore Orkestrator provides also a set of functionality that is entirely keyboard accessible (and screen reader friendly). Allmost all commands can be also accessed through the Menu (Meta-M) or (Ctrl-M) and "non associative actions" can be accessed through a right click on the item.

Just one more file​

Before we move on, lets upload one more file. You can download it here. You can upload it the same way as before. However, this time, lets try to upload it directly into the Dataset that we created before. You can do this opening the Dataset and then drag and drop the file into the Dataset. Now that we have two files in the Dataset lets do something with them.