A dashboard that helps researchers at Erasmus University Rotterdam to visualise their research with that of the United Nation's (UN) Sustainable Development Goals (SDGs). Using a publicly available NLP model called ‘Bert-base-uncased’ that is fine-tuned on STS benchmark data, we calculate the 'Semantic Similarity' of an open access journal article with that of the UN description of each SDG. The dashboard offers possibilities to stimulate debate on the SDG tagging approaches, and foster pluralistic perspectives on the interpretations of SDGs. Transparent identification of research outputs and novel forms of data visualisation will encourage researchers to be more open, active and involved in contributing to the SDGs.

An answer to Open Science research analytics

OPERA aims at establishing open and advanced research analytics practices and systems at Danish universities and in the Danish landscape of research analytics stakeholders, addressing Open analytics data as well as Open metrics and Open systems, exploring how to measure Openness and how to improve the data and concepts for the analysis of Humanities, and bringing together leading Danish actors with global operators and experts, OPERA aims at aligning the Danish capacity with the best global level while catering to local and national preferences and needs.

[Ministry of Higher Education and Science | Danish Agency for Science and Higher Education](https://ufm.dk/en/the-ministry/organisation/danish-agency-for-science-and-higher-education) | [Visit the Programme](https://deffopera.dk/opera-conference-november-2020/) 