Filtering by Sustainable Development Goals (SDGs)

The Sustainable Development Goals (SDGs) are targets for global development adopted by the United Nations in September 2015, and set to be achieved by 2030. Comprised of 17 interconnected goals, they are a universal call to action to end poverty, protect the planet and improve the lives and prospects of everyone, everywhere - a blueprint to achieve a more sustainable future for all.

Each of the SDGs has targets (specifying the goals) and selected indicators (representing the metrics by which the world aims to track whether the targets are achieved) - and balance the three dimensions of sustainable development: economic, social and environmental.

As an Explorer user you are able to filter by these Sustainable Development Goals (SDGs) in both quick and advanced searches.


In the Quick search simply type in the name of the SDG that you want to search for

In the Advanced search window the field is located in the Research Outputs section and functions as an autocomplete field - as you start typing available SDGs will be presented to you.

You are able to search by the SDG name or its assigned number, for example - you'd be able to search for 4 or Quality Education to get the same result. You can also type 1 to get a list of all the SDG's. In addition to this, the search uses an OR function; allowing you to select multiple SDGs to be used as part of the same search filter.

You can also see the Sustainable Development Goals when you are in list view of the Research Outputs tab. 


Sustainable Development Goals: Classification

In association with Springer Nature, the Digital Science Consultancy and Dimensions teams have worked together to build a classification system of research associated with the United Nations Sustainable Development Goals (SDGs) from the Dimensions publications database. This ongoing work uses machine learning and semi-automatically generated training data. 

Springer Nature and the Digital Science Consultancy and Dimensions teams collaborated in this phase and Springer Nature subject matter experts assisted by manually assessing keywords for the training sets and identifying any false positives. The same automated approach was used for the research classification in Dimensions, the results of which lead to the next iteration in Dimensions automatically assigning an SDG category to publications and grants, etc, when they are added to the Dimensions database.