Auflistung nach Autor:in "Klan, Friederike"
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- KonferenzbeitragAgriSens – DEMMIN 4.0(41. GIL-Jahrestagung, Informations- und Kommunikationstechnologie in kritischen Zeiten, 2021) Spengler, Daniel; Asam, Sarah; Boettcher, Falk; Borg, Erik; Dobers, Eike Stefan; Geßner, Ursula; Harfenmeister, Katharina; Hüttich, Christian; Klan, Friederike; Teucher, Mike; Truckenbrodt, Sina; Conrad, ChristopherDie Digitalisierung der Landwirtschaft schreitet seit einigen Jahren immer weiter voran, wird aber in Deutschland noch nicht im großen Maßstab in landwirtschaftlichen Betrieben umgesetzt. Im Bereich der Geodatennutzung liegen die Herausforderungen vor allem bei der unzureichenden Definition von Schnittstellen sowie in einem mangelnden Daten- und Wissenstransfer zwischen Wissenschaft und Praxis. Hier setzt das Projekt „AgriSens – DEMMIN 4.0“ an, das vom Bundesministerium für Ernährung und Landwirtschaft (BMEL) im Rahmen der digitalen Experimentierfelder gefördert wird. Methoden zur Nutzung von Geodaten, insbesondere Fernerkundungsdaten, im Pflanzenbau werden analysiert und neu entwickelt und in konkreten Anwendungsfällen wie Ertragsabschätzung oder teilschlagspezifische Bewässerung dem Landwirt nutzbar gemacht.
- ZeitschriftenartikelInformatik – reine Männersache?(LOG IN: Vol. 36, No. 1, 2016) Klan, Friederike
- KonferenzbeitragSemantic Search for Biological Datasets: A Usability Study on Modes of Querying and Explaining Search Results(BTW 2023, 2023) Löffler, Felicitas; Shafiei, Fateme; Witte, René; König-Ries, Birgitta; Klan, FriederikeDataset discovery is a frequent task in daily research practice, yet studies are missing that explore the usability of user interfaces (UI) in data portals. In particular, very few user studies exist that analyze whether particular elements in the user interface are useful for search tasks. We aim to address those needs for more specific usability evaluations in dataset search. In this work, wepresent a flexible semantic search over biological datasets with two user interfaces. The search result contains semantically related terms, such as synonyms or more specific terms, obtained from domain ontologies. We evaluated the system in a user study with 20 scholars. We focused on two components, the query input to explore a search in categories (entity types) in comparision to a single input field, and we analyzed textual highlightings in the returned datasets to study whether users are distracted by semantic information such as URIs. Our results show that users prefer interfaces with a single input field for search tasks they are not familiar with, and that users appreciate explanations with terminologies and URIs.
- TextdokumentSoftware solutions for form-based, mobile data collection – A comparative evaluation(BTW 2019 – Workshopband, 2019) Steinberg, Markus; Schindler, Sirko; Klan, FriederikeMany citizen science projects rely on their contributors going to the field and collecting data. Due to their wide availability and increasing capability, modern mobile devices have become an indispensable tool to ease the collection process. Projects can publish mobile apps, that allow contributors to easily collect data and submit their results. The requirements of individual projects oftentimes overlap to a large extent, which triggered the development of multiple generic frameworks. They allow new projects to quickly generate customized apps and reuse existing infrastructure. However, the wide landscape of tools with diverging capabilities requires projects to compare and choose. This report supports data managers in making an informed decision. We report on our experiences primarily on the whole data collection workflow starting from setting up your own instance to finally analyzing the retrieved data. We compare eight tools – both free and commercial – according to the features provided and difficulties encountered.
- TextdokumentWorkshop on Big (and Small) Data in Science and Humanities (BigDS 2019)(BTW 2019 – Workshopband, 2019) Klan, Friederike; König-Ries, Birgitta; Reimann, Peter; Seeger, Bernhard; Groß, Anika