The effect of task type on preferred element types in an XML‐based retrieval system

This article examines the influence of task type on the users' preferred level of document elements (full articles, sections, or subsections) during interaction with an XML-version of Wikipedia. We found that in general articles and subsections seemed to be the most valuable elements for our test subjects. For information-gathering tasks, this tendency was stronger, whereas for fact-finding tasks, the sections seemed to play a more important role. We assume from this that users select different information search strategies for the two task types. When dealing with fact-finding tasks, users seem more likely to use one single element as an answer, while when they do information gathering, they pick information from several elements

The effect of task type on preferred element types in an XML‐based retrieval system

This article examines the influence of task type on the users' preferred level of document elements (full articles, sections, or subsections) during interaction with an XML-version of Wikipedia. We found that in general articles and subsections seemed to be the most valuable elements for our test subjects. For information-gathering tasks, this tendency was stronger, whereas for fact-finding tasks, the sections seemed to play a more important role. We assume from this that users select different information search strategies for the two task types. When dealing with fact-finding tasks, users seem more likely to use one single element as an answer, while when they do information gathering, they pick information from several elements

Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region, FFEM-DB

This data paper describes the multinational Database of Flood Fatalities from the Euro-Mediterranean region FFEM-DB that hosts data of 2,875 flood fatalities from 12 territories (nine of which represent entire countries) in Europe and the broader Mediterranean region from 1980 to 2020. The FFEM-DB database provides data on fatalities' profiles, location, and contributing circumstances, allowing researchers and flood risk managers to explore demographic, behavioral, and situational factors, as well as environmental features of flood-related mortality. The standardized data collection and classification methodology enable comparison between regions beyond administrative boundaries. The FFEM-DB is expandable, regularly updated, publicly available, and with anonymized data. The key advantages of the FFEM-DB compared to existing datasets containing flood fatalities are its high level of detail, data accuracy, record completeness, and the large sample size from an extended area

Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region, FFEM-DB

[eng] This data paper describes the multinational Database of Flood Fatalities from the Euro-Mediterranean region FFEM-DB that hosts data of 2,875 flood fatalities from 12 territories (nine of which represent entire countries) in Europe and the broader Mediterranean region from 1980 to 2020. The FFEM-DB database provides data on fatalities' profiles, location, and contributing circumstances, allowing researchers and flood risk managers to explore demographic, behavioral, and situational factors, as well as environmental features of flood-related mortality. The standardized data collection and classification methodology enable comparison between regions beyond administrative boundaries. The FFEM-DB is expandable, regularly updated, publicly available, and with anonymized data. The key advantages of the FFEM-DB compared to existing datasets containing flood fatalities are its high level of detail, data accuracy, record completeness, and the large sample size from an extended area