  The OGD is seen as a political and socio-economic phenomenon that promises to
promote civic engagement and stimulate public sector innovations in various
areas of public life. To bring the expected benefits, data must be reused and
transformed into value-added products or services. This, in turn, sets another
precondition for data that are expected to not only be available and comply
with open data principles, but also be of value, i.e., of interest for reuse by
the end-user. This refers to the notion of 'high-value dataset' (HVD),
recognized by the European Data Portal as a key trend in the OGD area in 2022.
While there is a progress in this direction, e.g., the Open Data Directive,
incl. identifying 6 key categories, a list of HVDs and arrangements for their
publication and re-use, they can be seen as 'core' / 'base' datasets aimed at
increasing interoperability of public sector data with a high priority,
contributing to the development of a more mature OGD initiative. Depending on
the specifics of a region and country - geographical location, social,
environmental, economic issues, cultural characteristics, (under)developed
sectors and market specificities, more datasets can be recognized as of high
value for a particular country. However, there is no standardized approach to
assist chief data officers in this. In this paper, we present a systematic
review of existing literature on the HVD determination, which is expected to
form an initial knowledge base for this process, incl. used approaches and
indicators to determine them, data, stakeholders.
