Browsing & Exploring
You don't need an account to explore Scholar Data. You can search user profiles, dig into dataset impact pages, evaluate any dataset by DOI or URL, and view aggregate platform statistics without signing in.
Browsing Profiles
The Browse Profiles page lets you search across actual user profiles as well as researcher profiles that were auto-generated from the datasets indexed in the Scholar Data database. More details about these auto-generated profiles (indicated by an "Automated Author Profile" badge in the top left corner of the profile pages) are provided in the Data Collection section.
Each profile shows the researcher's S-index, other impact metrics, and a list of their datasets.
Browsing profiles is useful for discovering active data sharers in your field, benchmarking your own S-index against peers, or giving institutions and funders a way to assess a researcher's data sharing track record.
Browsing Datasets
The Browse Datasets page lets you search across the datasets currently included in the Scholar Data database (see the Data Collection section). Each dataset has its own impact page showing its D-index, FAIR score, citation count, and alternative mentions.
This is useful for exploring how datasets in a particular field are performing, checking the impact of one of your datasets without logging in, or simply getting a feel for how D-index scores vary across different types of datasets.
Evaluating a Dataset by DOI or URL
Can't find a dataset in the browse results? The Evaluate page lets you submit any dataset DOI or URL and Scholar Data will generate its impact page on the spot.
This is the fastest way to check the metrics for a specific dataset that hasn't been pre-processed yet in the Scholar Data database, or to get a fresh read on one that may have accumulated new citations since it was last updated in the Scholar Data database.
The steps for computing the D-index live differ slightly from our auto-processed datasets. When you provide a DOI or URL here is what Scholar Data does in the backend:
- Get metadata (DataCite API if DOI, web scrapping if URL)
- Calculate FAIR score (using self deployed instance of F-UJI)
- Assign domain (using Open Alex or custom AI-model) and identify related weighting factors
- Find citations (using the Make Data Count citation corpus only if URL, additionally using DataCite and OpenAlex APIs if DOI)
- Find mentions in code using the GitHub API and a preprocessed list of DOI mentions in HuggingFace model cards
- Find mentions in patent if DOI from a preprocessed list of DOI mentions in patents
- Compute D-index
- Generate dataset impact page
Platform Metrics
The Platform Metrics page shows a live snapshot of Scholar Data's overall coverage: how many datasets have been tracked, how many citations and mentions have been found, and how many FAIR scores have been computed.
It's a useful reference for understanding the scale of the platform and how comprehensively your field may be represented.