  Efforts directed towards promoting Open Government Data (OGD) have gained
significant traction across various governmental tiers since the mid-2000s. As
more datasets are published on OGD portals, finding specific data becomes
harder, leading to information overload. Complete and accurate documentation of
datasets, including association of proper tags with datasets is key to
improving dataset findability and accessibility. Analysis conducted on the
Estonian Open Data Portal, revealed that 11% datasets have no associated tags,
while 26% had only one tag assigned to them, which underscores challenges in
data findability and accessibility within the portal, which, according to the
recent Open Data Maturity Report, is considered trend-setter. The aim of this
study is to propose an automated solution to tagging datasets to improve data
findability on OGD portals. This paper presents Tagify - a prototype of tagging
interface that employs large language models (LLM) such as GPT-3.5-turbo and
GPT-4 to automate dataset tagging, generating tags for datasets in English and
Estonian, thereby augmenting metadata preparation by data publishers and
improving data findability on OGD portals by data users. The developed solution
was evaluated by users and their feedback was collected to define an agenda for
future prototype improvements.
