ARAMOB: Mobilisierung arachnologischer Forschungsdaten

@article{Bach2026,

title = {Natural history societies as stewards of biodiversity data: Lessons from arachnology for improving quality, access and trust},

author = {Alexander Bach and Martina Roß-Nickoll and Helge Bruelheide and Aletta Bonn and Michael Hohner and Christoph Muster and Stefan Seifert and Florian Raub and Hubert Höfer},

doi = {10.1016/j.ecoinf.2026.103694},

issn = {1574-9541},

year  = {2026},

date = {2026-03-00},

urldate = {2026-03-00},

journal = {Ecological Informatics},

volume = {96},

pages = {103694},

publisher = {Elsevier BV},

abstract = {Scientific societies, particularly taxon-focused natural history societies, play a crucial role in the long-term curation, mobilization, and governance of biodiversity data. They provide both the necessary expertise and social continuity to ensure data quality, foster trust, and build community cohesion. In this paper, we highlight the contributions of a natural history society for arachnids in Central Europe, the Arachnologische Gesellschaft, by describing two complementary biodiversity data infrastructures it coordinates: the Atlas of the European Arachnids, a curated occurrence-based mapping portal, and ARAMOB, a curated research data repository for ecological community datasets. We outline how these portals were developed in close collaboration with experts, museums, and research institutions, and how they are technically linked to or embedded in national and international data infrastructures such as World Spider Catalog, NFDI4Biodiversity and GBIF. Through this case study, we show how scientific societies can function as trusted intermediaries between data producers, aggregators, and users ensuring the visibility, interpretability, and interoperability of biodiversity data. We conclude with recommendations for strengthening similar community-rooted, taxon-specific infrastructures for other organism groups.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bach2024b,

title = {ARAapp: filling gaps in the ecological knowledge of spiders using an automated and dynamic approach to analyze systematically collected community data},

author = {Alexander Bach and Florian Raub and Hubert Höfer and Richard Ottermanns and Martina Roß-Nickoll},

doi = {10.1093/database/baae004},

issn = {1758-0463},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {Database},

volume = {2024},

pages = {baae004},

publisher = {Oxford University Press (OUP)},

abstract = {The ARAMOB data repository compiles meticulously curated spider community datasets from systematical collections, ensuring a high standard of data quality. These datasets are enriched with crucial methodological data that enable the datasets to be aligned in time and space, facilitating data synthesis across studies, respectively, collections. To streamline the analysis of these datasets in a species-specific context, a suite of tailored ecological analysis tools named ARAapp has been developed. By harnessing the capabilities of ARAapp, users can systematically evaluate the spider species data housed within the ARAMOB repository, elucidating intricate relationships with a range of parameters such as vertical stratification, habitat occurrence, ecological niche parameters (moisture and shading) and phenological patterns.



Database URL: ARAapp is available at  www.aramob.de/en},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Raub2023,

title = {Data paper publication in Arachnologische Mitteilungen – Goals, review criteria, editorial procedures, format, data management and mobilization},

author = {Florian Raub and Alexander Bach and Tobias Bauer and Hubert Höfer},

doi = {10.30963/aramit6612},

issn = {1018-4171},

year  = {2023},

date = {2023-12-01},

urldate = {2023-12-01},

journal = {Arachnologische Mitteilungen: Arachnology Letters},

volume = {66},

issue = {2},

pages = {iii--iv},

publisher = {Arachnologische Mitteilungen},

abstract = {We present a new service of Arachnologische Gesellschaft – data publication in Arachnologische Mitteilungen / Arachnology Letters. A first exemplary dataset is published in this volume. Here we inform about the goals, criteria for acceptance of manuscripts and data, the foreseen editorial procedures, formats, the websites of the digital publication and the data repository ARAMOB used to archive, manage and mobilize the data.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bach2023,

title = {Improved access to arachnological data for ecological research through the ARAMOB data repository, supported by Diversity Workbench and NFDI data pipelines},

author = {Alexander Bach and Martina Roß-Nickoll and Joachim Holstein and Richard Ottermanns and Florian Raub and Dagmar Triebel and Markus Weiss and Ingo Wendt and Hubert Höfer},

doi = {10.30963/aramit6609},

issn = {1018-4171},

year  = {2023},

date = {2023-12-01},

urldate = {2023-12-01},

journal = {Arachnologische Mitteilungen: Arachnology Letters},

volume = {66},

issue = {1},

pages = {79--85},

publisher = {Arachnologische Mitteilungen},

abstract = {The scientific community has been developing and refining digital data standards to ensure that biodiversity data can be easily exchanged between different databases, systems and institutions. However, scientists still face the challenge of effectively analysing this vast amount of data. Variations in the quality, documentation and availability of metadata often make it difficult for scientists to compile appropriate datasets for their research. One contribution towards this task is the research data repository ARAMOB of the Arachnologische Gesellschaft (AraGes), which focuses on systematically collected data on spider assemblages. Mandatory requirements have been developed to ensure the quality and utility of the data for ecological research during a given project. A next step towards enhancing the data basis for convincing analyses of spider assemblages in Central Europe is the offer to now publish data in the society's open access journal Arachnologische Mitteilungen/Arachnology Letters, which are integrated into the data repository and thus made effectively accessible and usable. These data papers will be presented as one printed page in the journal, accessible on the website of the AraGes and from the BioOne Digital Library, accompanied by a PDF-document containing metadata to effectively use the published data. The original dataset is published as spreadsheet tables, but also deposited in the ARAMOB data repository, which is managed with the modularized database software and virtual research environment Diversity Workbench. By this means, the published data packages are also accessible and analysable within a wider context through the ARAMOB web portal. On request, scientists can also exploit data with the free and well-documented Diversity Workbench software tools. The data pipelines involved are defined in the context of the National Research Data Infrastructure (NFDI).},

keywords = {},

pubstate = {published},

tppubtype = {article}

}