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've 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.

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 My Profile. 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, ORCID, and identifier that you can rapidly add to your profile. You can also use the search bar to find for more datasets and add them to your profile.

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, being cited, and receiving mentions.

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.