Andrienko, GennadyGennadyAndrienkoAndrienko, NataliaNataliaAndrienkoFuchs, GeorgGeorgFuchs2022-03-052022-03-052016https://publica.fraunhofer.de/handle/publica/24676710.1080/17489725.2016.1169322Understanding of data quality is essential for choosing suitable analysis methods and interpreting their results. Investigation of quality of movement data, due to their spatio-temporal nature, requires consideration from multiple perspectives at different scales. We review the key properties of movement data and, on their basis, create a typology of possible data quality problems and suggest approaches to identify these types of problems.en384journal article