Data quality is an issue that touches on every aspect of the research data landscape and is therefore appropriate to examine in the context of planning for future research data infrastructures. As producers, researchers want to believe that they produce high quality data; as consumers, they want to obtain data of the highest quality. Data centres typically have stringent controls to ensure that...

Linking historical census data across time is a challenging task due to various reasons, including data quality, limited individual information, and changes to households over time. Although most census data linking methods link records that correspond to individual household members, recent advances show that linking households as a whole provide more accurate results and less multiple househo...

Jurisdictions that are contemplating the development of 3D Cadastres cannot afford to ignore the marine environment. Apart from its extreme importance as a resource, the use of the marine environment is volumetric by nature and involves the exercising of rights to the surface, water column, seabed, and subsoil. This paper proposes a 3D marine cadastre model that can be used to support effective...

Decision-support systems provide a large functionality supporting the decision making process. They allow to draw conclusions from data provided by users. In order to be applied they require however that the user is knowledgeable and knows how to interpret and apply the solutions provided. Often people need, however, an additional insight into the foundation of decision support systems. The Dat...

Purpose – While few would disagree that high data quality is a precondition for the efficiency of a company, this remains an area to which many companies do not give adequate attention. Thus, this paper aims to identify which are the most important barriers preventing companies from achieving high data quality. By improving awareness of barriers on which to concentrate, companies are put in a b...