If you're looking for search syntax and terminology see our article on advanced search.
This article is part of our quickstart guide to finding things on data.world. In this article we'll cover basic information on using the search including:
On data.world you can not only search for many different kinds of assets, but you can also filter your results by resource type or integrated facets like status, owner, or tag. Each refinement of the results set tells you how many assets meet the combined criteria, and it's easy to drill down through the myriad results to find just the asset you are looking for. See the article on filtering search results for more information on narrowing down your search results.
Using the search bar
Sometimes you just want to get back to the last thing you viewed. A quick way to do that is to click in the search bar. There you'll see a dropdown with the last three resources (people, datasets, or projects) you accessed:
There is an autocomplete component to the search bar so as you type you see the most relevant people, datasets and projects for the string you are entering:
The search bar is where you can go to find a variety of assets across data.world. From it you can search for not only datasets and projects, but for people, organizations, data analysis, queries, specific resource types, and metadata. Places searched include:
- column names
- creator or owner
- creation or modification dates
Besides searching for text anywhere in the data, you can also search the metadata for matches on creator, owner, tags, or modified date. For example, if you wanted to find all datasets owned by the user @us-usda-gov you could search owner:@us-usda-gov :
You can also use the search bar to search for multiple search terms. When you enter more than one text string into the search bar you will get results that contain all the strings in them. You can search for an exact match on a text string by enclosing the string in double quotes E.g., a search on "honey bee" returns the following:
Finally, you can combine operators to broaden your search results. E.g., if you wanted everything that had either cat or dog in it you could run the following search:
For all the ins and outs on using the search bar and a complete list of all the operators you can use, see the article on advanced search terms.
Understanding search results
After you run a search your results are presented in a list of resources with detailed information about each of them. In the example below, the search term was "bee". Below the search bar you can see that the search returned 325 results associated with me or with an organization to which I belong. If I wanted to expand the results set, I could check the box on the upper right to include results from the rest of the community (723 total). If you are not in any organizations, there won't be an option to include community results because you will already see all the community results. Alternatively I could limit my results to a particular resource type by selecting the dropdown menu next to All resource types.
Each item in the results list is shown on a resource card that contains an appropriate set of information and actions for that resource type. In the list above, the first result was a person with the username @bee. On that result card is a link to the user's profile and a link to follow the user. The next result card is for a dataset:
At a glance you can see that there is a lot more information on this card including:
- An icon for the type of resource it is (see our guide to icons for details on all the resource icons on data.world)
- The title, creator, and owner
- Details on when it was last updated
- Your role in the dataset or project (if applicable)
- The description of the resource
- How many projects it's used in (for datasets)
- How many linked datasets it has (for projects)
- How many files and tables it contains
- The tags used on it
- How many people use or follow the resource(bookmarks)
- A link to the discussions page for it
The additional information on your search results can be useful for determining whether a resource is a good fit for your project. Format, source or provenance,recency, and frequency of citation or popularity are all useful metrics for evaluating data. See our article on evaluating search results for details.
Finding related data
You can also find information about other related datasets from the overview page of a dataset including:
- Other resources with the same creator (right sidebar)
- Other resources with the same owner (top left)
- Resources with the same tags
- Related projects
Clicking through to any one of them will take you to another set of data that might be relevant to your current project or that you might be interested in looking at later. Finally at the bottom of the overview page there is a set of curated suggestions of related datasets: