For Researchers

Scholar Data gives you a dedicated profile to track the impact of your shared datasets: your citations, FAIR scores, and S-index, all in one place. If you have used Google Scholar to track your publication impact, Scholar Data will feel immediately familiar: it's intentionally designed that way, bringing the same kind of visibility and credibility to your datasets that Google Scholar brought to your papers.

Anyone can create a profile and track their data sharing impact: researchers, research labs, institutions, consortiums, and more.

→ Ready to create your profile and brag about your datasets? Head straight to Scholar Data.

Why Create a Profile?

Your datasets are driving discovery, but without a way to measure and showcase that impact, the credit often goes unrecognized. A Scholar Data profile lets you:

• Showcase your datasets. Add all your datasets to your profile and showcase your data sharing effort.
• See who is using your data. Track citations and mentions across publications, code repositories, patents, and policy documents.
• Strengthen your CV and grant applications. Share your unique Scholar Data profile link to give reviewers and institutions a single, interpretable score that reflects your data sharing contributions.
• Find credit you didn't know you had. Many researchers discover their datasets have been cited or reused in ways they were never notified about.

Creating and Managing Your Profile

To get started, sign up for an account. While optional, we recommend that you provide your ORCID and affiliation so Scholar Data can suggest datasets to add to your profile automatically.

Once registered, you will have a public researcher profile that displays your datasets and impact metrics. This profile will have a dedicated URL that you can include on your CV, website, and elsewhere.

To update your profile, log in and visit the My Profile page. From there you can edit your name, affiliation, and other details. You can also update your password and delete your profile from there.

Adding Your Datasets

Once your profile is set up, you can add datasets to it by clicking Add a dataset from your public page (this button will only be visible if you are logged in).

At this stage, you can only add datasets that are registered in the Scholar Data database (see the Data Collection section for more details). You can use the search bar to find more datasets and add them to your profile. Learn more in the Search Feature page.

You can also add datasets from the dataset pages as you are browsing them. See the Browsing Datasets section for more details.

Understanding Your S-index

Once you add datasets, you will see your S-index (Sharing Index) on your profile page. It is your top-level data sharing impact score. It works similarly to the h-index for publications: it reflects how broadly and consistently your datasets are made FAIR, cited, and mentioned.

The S-index is computed across all the datasets on your profile, with field normalization applied so that scores remain comparable across disciplines. As you add more datasets, and as existing datasets accumulate more citations and mentions, your S-index will update to reflect your growing impact.

For more information about the S-index, we refer to the Concepts section.

Sharing and Showcasing Your Profile

Your Scholar Data profile is public and linkable. You can, for instance:

• Add the URL to your CV, ORCID profile, or lab website. See, for instance, how this user integrated their Scholar Data profile link on their university website profile page, along with links to their Google Scholar, LinkedIn, and GitHub pages.
• Share it directly with grant reviewers or hiring committees

You can also embed your S-index on your personal website, lab page, or GitHub profile using a single iframe (no backend required) as explained on our Integrations page.