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Auflistung nach Schlagwort "data collection"

1 - 3 von 3
  • Konferenzbeitrag
    Digital Transformation in Forestry - Stakeholders and Data Collection in German Forests
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Pleger, Michael; Schiering, Ina
    This paper examines the process of data collection within forestry and its individuals and organizations in Germany as a first step towards digitization. Germany has one of the largest forest areas in Europe and plays a significant role in mitigating the impacts of climate change and providing ecosystem services to society. To fulfill this role, data collection is required by law for most forests in Germany. This data collection has been historically labor intensive and time consuming. Data collection through Internet of Things (IoT) devices has the potential to improve the efficiency and accuracy of forestry operations while also providing valuable insights into forest health and productivity. Modern data collection through drones and satellite imagery already provide significant benefits to the economy of forestry. This could be further enhanced by low-cost IoT devices bundled as sensor networks in forests to gather data over a lifespan of a forest.
  • Konferenzbeitrag
    Innovative form generator for recording complex support programmes
    (44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft, 2024) Aue, Alexander; Ackermann, Andrea; Röder, Norbert
    In an effort to incentivize environmental protection actions among farmers, different administrations offer various support programmes. These programmes differ between states, change over time and are published in non-machine-readable formats. Since the lack of a nationwide database hampers the comprehensive evaluation of these programmes, we propose a flexible form generator for standardizing the programme descriptions. Our tool meets the needs of researchers as it facilitates the transformation of text-based definitions to a well-structured relational database with its graphical questionnaire user interface. Redundancies in data input are avoided by allowing the collected data of a support program to be inherited by another and to extend it by additional properties or overwriting existing ones. Furthermore, it accommodates complex data collection needs, supporting limitless sub-questions and customized input fields. The resulting hierarchical data is automatically stored in a relational database, ensuring a user-friendly experience both for quantitative researchers and data analysts. This innovative approach enhances the evaluation of e.g. environmental protection programmes.
  • Konferenzbeitrag
    My Data is Mine - Users' Handling of Personal Data in Everyday Life
    (SICHERHEIT 2018, 2018) Bock, Sven
    Abstract: This experimental study is about investigating users’ handling of personal data and their awareness of data collection. A deception experiment was designed to let the subjects believe that they are participating in a decision-making experiment. Only after the experiment, they were informed about the actual aim of examining their behaviour towards their personal data. Before the deception experiment either a printed or a digital version of the terms and conditions was handed out. The reading time and the willingness to accept the terms and conditions was measured in order to find significant differences. For the deception, a program was implemented which simultaneously presents two terms including sensitive data like religious and political orientation. The subject should choose the favoured term. Afterwards, subjects were asked whether and to what extent they agree to hand out their collected data to third parties in exchange for financial gain. After the experiment the participants were asked about their usual behaviour regarding their personal data.