Enhancing Open Science Through Dataset Discovery
We are excited to announce the beta release of the INSPIRE data collection. This new feature allows you to directly browse datasets within INSPIRE, providing convenient access to their sources and all papers that have cited each dataset.
Supporting Open Science
The aim of INSPIRE is to support Open Science by promoting alternative research products beyond papers. With this new collection, we’re making datasets more discoverable and encouraging proper citation of datasets as independent research outputs, helping to establish this as a standard practice in the scientific community.
Beta Release – Starting with HEPData
This initial beta release focuses exclusively on content from HEPData. In future updates, we plan to expand the collection to include additional data sources and software repositories, along with new features to enhance your research experience.
Familiar Search Experience
In the data collection, you can browse through datasets using the familiar INSPIRE search syntax. For example, if you want to find all datasets related to the ATLAS collaboration, you can simply search for cn atlas
.

Results can be ordered by recency or by citation count, with the number of citations for each dataset visible directly in the search results.
Detailed Dataset Information
The detailed page for each dataset contains:
- Abstract
- Keywords
- Links to authors and associated papers
- A comprehensive list of DOIs that link to that dataset

These DOI listings include all references to the dataset, such as the main dataset, specific versions, or particular tables or resources.

Author Profile Integration
The data collection is fully integrated with author profiles, making it easy for researchers to showcase the datasets they are associated with.

Your Feedback Matters
As always, we are continuously improving INSPIRE and depend on your feedback. Please let us know what you think about this new feature and how we can enhance it to better support your research.