10.18453/rosdok_id00005035 Schmidt, Christoph Christoph Schmidt http://d-nb.info/gnd/138449670X https://orcid.org/0000-0002-5358-0673 Universität Rostock 2024 004 Data processing Computer sciences 2024 en https://purl.uni-rostock.de/rosdok/id00005035 urn:nbn:de:gbv:28-rosdok_id00005035-3 In this work, annotations are supplementary information integrated into a visual analytics system. We conduct a literature survey on existing annotations, extract the annotation characteristics, and sort them into a morphological box. We develop a model to derive suitable annotation characteristics for a particular use case and show how a fitting design for annotations is developed. We implement the annotations to analyze heterogeneous clinical data. User feedback shows that our approach can help to improve data preprocessing, data cleansing and data exploration for clinical data.