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 the 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. Your S-index gives reviewers and institutions a single, interpretable score that reflects your data sharing contributions.
• Get 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 profiles automatically.

Once registered, you will have a public researcher profile that displays your datasets and impact metrics.

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 and Claiming 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). Scholar Data will automatically suggest datasets based on your name and identifier that you can rapidly add to your profile. You can also use the search bar to find more datasets and add them to your profile.

How Search Works

Both the Browse Profiles page (/search/au) and the Add Datasets modal on your profile use Meilisearch as the search engine.

By default, search tries to match all the words in your query first. If that returns too few results, it broadens the search by relaxing the last word.

For example, a search for climate ocean data will first look for results matching all three words, then may also show results matching climate ocean if needed.

Browse Profiles (/search/au)

When you search for a researcher, Scholar Data looks across both registered user profiles and auto-generated profiles.

You can search by name, ORCID, or affiliation. For example, searching Maria Santos or an ORCID can help you quickly find the right profile.

If you uncheck Include auto-generated profiles, you will only see registered users.

Add Datasets (user profile page)

When you add datasets to your profile, search looks across dataset titles, authors, DOIs, and keywords.

You can search by dataset title or paste a DOI directly. If you are looking for a dataset by a specific researcher, try their name together with a keyword.

The index currently includes datasets with DOIs registered before September 2025, so some newer datasets may not appear yet.

Typo Tolerance

Search is typo-tolerant, so small spelling differences in names or titles can still return relevant results.

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
• Share it directly with grant reviewers or hiring committees