This tutorial is part of the basic tutorial series for the data.world platform. See the article overview of basic tutorials for more information.
In the previous tutorial, finding data on data.world, we covered how to find and evaluate data on data.world. Now we're going to create a project where we can work with the data we found. If you need more information on when to use a dataset and when to use a project, see our article Datasets and projects.
After working through the tutorial you should be able to:
- A data.world login (available for free here if you don't have one).
If you prefer to go straight to the exercises, click here.
Create a project
There are many ways to create a new project. The easiest is from a dataset that you want to use. You can also use the + New link to the right of the search bar.
From the Bee Colony Statistics dataset (bookmarked in the last exercise) you can quickly create a new project from it by clicking the arrow next to Explore this dataset on the top right of your screen and selecting + Create a new project:
If you are on your homepage you can navigate to the dataset from your bookmarks:
Alternatively, click + New to the right of the search bar and select Project. Whichever way you take, you'll get to the Create a new project dialog. If you started from the dataset, it will automatically be associated with the project. If you started from + New you'll need to link to the dataset later.
Set ownership and permissions to the project
You can set the owner of the project to be yourself or any organization in which you're a member from the dropdown menu on the Owner field. Additionally from the dropdown you have the option of proposing ownership of the project to any organization that accepts proposals:
See the article on crowdsourced datasets for more information. After setting the ownership of a project you will also need to set permissions to it. By default, permissions are set to share with no one. If you set the ownership of the project to an organization, the other options are to share with everyone in the organization or to make public to the data.world community. If you set yourself as the owner your only options are to share with no one or make public to the entire data.world community:
For details on how to set yourself as the owner and share with a specific organization see the article on sharing within an organization.
After you have named your project, and set the ownership and access to it, you can select Create project. On the next screen you can enter a brief description of your project, add data to it, or just continue on to the project:
Link a dataset to your project
You can link a dataset to the project by selecting the Add data button and choosing Link a data.world dataset:
Or from the project workspace you can Click the + Add link on the top left of the screen and choose Dataset:
Either one will take you to the dataset connection dialog box. If the dataset you wish to add to the project is listed in the dialog you can select Connect below it to link it. If the dataset isn't listed, type in some of the name and hit Enter to get a match and the choose Connect and Done:
- Login to your data.world account and from your homepage (or any screen with a +New link on the right of the header), click + New.
- Select Create new project.
- Give your project a name.
- Set yourself as the project owner.
- Keep the project private.
- Connect the Bee Colony Statistics dataset to your project
If you are in an organization and the project is for meant for members of the organization to work on, it's often a good idea to set the ownership of the project to the organization. You are still listed as the Creator, but by making the owner of the project the organization you have set it up for long-term continuity and access.
In this exercise we laid the foundation for the rest of the work we will do in the tutorial by creating a project to work with the data. Creating a project is a very simple operation, but there are many options available for how to create it, who owns it, who can see it, and how to link data to it. There are also many more ways to get data into your project and those will be covered in later exercises.
- Overview of basic tutorials - An overview of the basic tutorials
- Datasets and projects - Information on when and why to use one over the other
- Crowdsourced datasets - Proposing datasets and projects to an organization
- Sharing within an organization - How to control access to a project within an organization