  In this paper, we propose a novel data valuation method for a Dataset
Retrieval (DR) use case in Ireland's National mapping agency. To the best of
our knowledge, data valuation has not yet been applied to Dataset Retrieval. By
leveraging metadata and a user's preferences, we estimate the personal value of
each dataset to facilitate dataset retrieval and filtering. We then validated
the data value-based ranking against the stakeholders' ranking of the datasets.
The proposed data valuation method and use case demonstrated that data
valuation is promising for dataset retrieval. For instance, the outperforming
dataset retrieval based on our approach obtained 0.8207 in terms of NDCG@5 (the
truncated Normalized Discounted Cumulative Gain at 5). This study is unique in
its exploration of a data valuation-based approach to dataset retrieval and
stands out because, unlike most existing methods, our approach is validated
using the stakeholders ranking of the datasets.
