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Map your research to the SDGs

Sustainability reports, impact ratings and funders all ask which of your research addresses which goal. Discover RIMS labels each publication from OpenAlex’s SDG classification, lets your team review and add labels with AI assistance, and turns the result into filters, charts and exportable lists.

SDG labels from
OpenAlex, reviewed by your team
Review
AI-suggested, approved by a person
Reporting
SDG distribution by faculty and year
Evidence lists
Excel and PDF exports by goal

SDG evidence is asked for everywhere, and still assembled by hand

Times Higher Education’s impact assessment changed for 2026: the Sustainability Impact Ratings, previously the Impact Rankings, became membership-based. For the 2027 cycle, only member universities can submit, and data is due on 9 November 2026 (THE). The research metrics in that assessment are derived by THE from Elsevier data, using a query for each SDG supplemented by publications identified by AI, while policy metrics need evidence from the university (methodology).

Whether or not you submit to THE, sustainability reports, funding applications and your own web pages need the same thing: a defensible list of which research addresses which goal. Our guide to what universities get wrong about SDG mapping covers the common pitfalls.

How the SDG record is built

Machine labels first, then human review where it matters.

  • Labels from OpenAlex

    OpenAlex runs the open-source Aurora Universities SDG classifier over each work’s title and abstract and assigns goals that score above 0.4. Discover RIMS stores those goals on each publication at every sync.

  • AI-assisted review

    An SDG tagging view lists publications with no goal. For each one, an AI model suggests goals, and a member of your team accepts or changes them before saving, one at a time or in bulk.

  • SDG distribution

    Analytics shows the number of publications for each of the 17 goals, filterable by faculty and year.

  • Public SDG search

    Visitors can filter publication search by goal, and the portal home page links each of the 17 goals to its filtered list.

  • Evidence lists

    Administrators can export any filtered publication list, such as one goal for one faculty in one year, to Excel or PDF.

What it does not do

Stated plainly, so you can plan the rest of the work.

  • It does not submit data to THE, and its SDG counts will not match THE’s, which THE computes from Elsevier data with its own queries.
  • It covers research outputs only. Evidence on policies, operations, teaching and outreach, which makes up much of THE’s methodology, is outside its scope.
  • OpenAlex labels are machine classifications. Review them before using them in public claims; the tagging view is built for that.
  • It does not measure societal impact, such as policy citations or media coverage, by goal.

Questions about SDG mapping

Not covered here? Ask us directly

From OpenAlex, which applies the open-source Aurora Universities SDG classifier to each work’s title and abstract. Your team can label the remaining publications with AI-suggested goals that a person approves.

Yes. OpenAlex can assign several goals to one work, and reviewers can choose several.

It helps you understand and evidence your SDG-related research, but it does not submit data to THE or reproduce THE’s research metrics, which THE derives from Elsevier data. Policy and operations evidence has to be gathered separately.

See SDG-filtered research on a live deployment