Alexander Bach
Dr. rer. nat.
- alexander.bach@ifer.rwth-aachen.de
- +49 241 80-27262
- Worringerweg 1, 52074 Aachen
Alexander Bach
Dr. rer. nat.
Publikationen
2026
Bach A; Roß-Nickoll M; Bruelheide H; Bonn A; Hohner M; Muster C; Seifert S; Raub F; Höfer H
In: Ecological Informatics, S. 103694, 2026, ISSN: 1574-9541.
@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},
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}
}
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.
2025
Stratemann L; Schröer L; Bach A; Toschki A; Oellers J; Roß-Nickoll M
BioDivSoil – Bodenbiodiversität im Fokus: Diversitätsmuster und Methodenevaluation zur Erfassung und Bewertung der Bodenbiodiversität in der Agrarlandschaft Forschungsbericht
Deutschland / Bundesamt für Naturschutz, BfN-Schriften 746, 2025.
@techreport{Stratemann2025,
title = {BioDivSoil – Bodenbiodiversität im Fokus: Diversitätsmuster und Methodenevaluation zur Erfassung und Bewertung der Bodenbiodiversität in der Agrarlandschaft},
author = {Lucas Stratemann and Lukas Schröer and Alexander Bach and Andreas Toschki and Johanna Oellers and Martina Roß-Nickoll},
editor = {Bundesamt für Naturschutz},
doi = {10.19217/skr746},
year = {2025},
date = {2025-04-01},
urldate = {2025-04-01},
issue = {BfN-Schriften 746},
institution = {Deutschland / Bundesamt für Naturschutz, BfN-Schriften 746,},
abstract = {The identification of biodiversity patterns in agricultural landscapes is of crucial importance for the assessment of ecological status and the development of sustainable management strategies. As part of the BioDivSoil project, soil biodiversity under different forms of land use was investigated using established and molecular biological methods. The aim was to identify indicators for the promotion and evaluation of soil biocenoses.
The soil fauna was recorded at a total of 45 sites and identified to species level using morpho-logical and molecular biological approaches. Collembola, Oribatida and Lumbricidae were an-alyzed as representatives of the endogean communities and Carabidae and Araneae as repre-sentatives of the epigean predators. At the molecular biological level, eDNA analyses of soil samples and DNA metabarcoding of soil trap contents were used.
The data collected in the first year of the study showed clear differences between different forms of land use. Tipping points were identified, which manifested themselves in the disap-pearance of specialized species and the dominance of generalist species on intensively used sites, i.e. intensive grassland and arable land. This pattern was identified for both endogean and epigean animal groups. While Collembola and Oribatida showed a strong decline in the number of species and individuals, this was not the case for Carabidae and Araneae. The mo-lecular-biologically determined bycatches from pitfall traps also showed differences between the land-use types in terms of species composition. Endogean biocenoses identified by eDNA analyses could only be distinguished between field margins and intensive sites.
Both the DNA-based methods and the Carabidae and Araneae showed significantly higher numbers of species in field margins than on arable land, which indicates the enormous im-portance of structural diversity in the agricultural landscape. No significant differences were found between arable land and intensive grassland. The Lumbricidae hardly differed between the three forms of land use.
In the second year of research, organically and conventionally farmed arable land and young fallow fields were compared in terms of their biodiversity. In this part of the project, Carabidae and Araneae were morphologically determined and eDNA analyses from soil samples and DNA metabarcoding of bycatches were carried out. No significant differences were found between organically and conventionally farmed arable land. However, the conventionally farmed ara-ble fields showed a significantly lower number of species and functional richness compared to the fallow fields. The eDNA analysis showed a significantly higher number of species for endo-gean groups on organic plots compared to fallow fields. These results indicate that epigean communities recover faster and respond more quickly to changes in environmental factors than endogean communities.
The BioDivSoil project provides important insights into the assessment of biodiversity in the agricultural landscape and at the same time highlights the need for research and action for sustainable soil management in agriculture.},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
The identification of biodiversity patterns in agricultural landscapes is of crucial importance for the assessment of ecological status and the development of sustainable management strategies. As part of the BioDivSoil project, soil biodiversity under different forms of land use was investigated using established and molecular biological methods. The aim was to identify indicators for the promotion and evaluation of soil biocenoses.
The soil fauna was recorded at a total of 45 sites and identified to species level using morpho-logical and molecular biological approaches. Collembola, Oribatida and Lumbricidae were an-alyzed as representatives of the endogean communities and Carabidae and Araneae as repre-sentatives of the epigean predators. At the molecular biological level, eDNA analyses of soil samples and DNA metabarcoding of soil trap contents were used.
The data collected in the first year of the study showed clear differences between different forms of land use. Tipping points were identified, which manifested themselves in the disap-pearance of specialized species and the dominance of generalist species on intensively used sites, i.e. intensive grassland and arable land. This pattern was identified for both endogean and epigean animal groups. While Collembola and Oribatida showed a strong decline in the number of species and individuals, this was not the case for Carabidae and Araneae. The mo-lecular-biologically determined bycatches from pitfall traps also showed differences between the land-use types in terms of species composition. Endogean biocenoses identified by eDNA analyses could only be distinguished between field margins and intensive sites.
Both the DNA-based methods and the Carabidae and Araneae showed significantly higher numbers of species in field margins than on arable land, which indicates the enormous im-portance of structural diversity in the agricultural landscape. No significant differences were found between arable land and intensive grassland. The Lumbricidae hardly differed between the three forms of land use.
In the second year of research, organically and conventionally farmed arable land and young fallow fields were compared in terms of their biodiversity. In this part of the project, Carabidae and Araneae were morphologically determined and eDNA analyses from soil samples and DNA metabarcoding of bycatches were carried out. No significant differences were found between organically and conventionally farmed arable land. However, the conventionally farmed ara-ble fields showed a significantly lower number of species and functional richness compared to the fallow fields. The eDNA analysis showed a significantly higher number of species for endo-gean groups on organic plots compared to fallow fields. These results indicate that epigean communities recover faster and respond more quickly to changes in environmental factors than endogean communities.
The BioDivSoil project provides important insights into the assessment of biodiversity in the agricultural landscape and at the same time highlights the need for research and action for sustainable soil management in agriculture.
The soil fauna was recorded at a total of 45 sites and identified to species level using morpho-logical and molecular biological approaches. Collembola, Oribatida and Lumbricidae were an-alyzed as representatives of the endogean communities and Carabidae and Araneae as repre-sentatives of the epigean predators. At the molecular biological level, eDNA analyses of soil samples and DNA metabarcoding of soil trap contents were used.
The data collected in the first year of the study showed clear differences between different forms of land use. Tipping points were identified, which manifested themselves in the disap-pearance of specialized species and the dominance of generalist species on intensively used sites, i.e. intensive grassland and arable land. This pattern was identified for both endogean and epigean animal groups. While Collembola and Oribatida showed a strong decline in the number of species and individuals, this was not the case for Carabidae and Araneae. The mo-lecular-biologically determined bycatches from pitfall traps also showed differences between the land-use types in terms of species composition. Endogean biocenoses identified by eDNA analyses could only be distinguished between field margins and intensive sites.
Both the DNA-based methods and the Carabidae and Araneae showed significantly higher numbers of species in field margins than on arable land, which indicates the enormous im-portance of structural diversity in the agricultural landscape. No significant differences were found between arable land and intensive grassland. The Lumbricidae hardly differed between the three forms of land use.
In the second year of research, organically and conventionally farmed arable land and young fallow fields were compared in terms of their biodiversity. In this part of the project, Carabidae and Araneae were morphologically determined and eDNA analyses from soil samples and DNA metabarcoding of bycatches were carried out. No significant differences were found between organically and conventionally farmed arable land. However, the conventionally farmed ara-ble fields showed a significantly lower number of species and functional richness compared to the fallow fields. The eDNA analysis showed a significantly higher number of species for endo-gean groups on organic plots compared to fallow fields. These results indicate that epigean communities recover faster and respond more quickly to changes in environmental factors than endogean communities.
The BioDivSoil project provides important insights into the assessment of biodiversity in the agricultural landscape and at the same time highlights the need for research and action for sustainable soil management in agriculture.
Bach A; Jedamski J; Daniels B; Roß-Nickoll M
In: Urban Ecosystems, Bd. 28, Ausg. 41, 2025, ISSN: 1573-1642.
@article{Bach2024,
title = {From lawns to meadows: spiders (Arachnida: Araneae) as indicators to measure urban grassland restoration success},
author = {Alexander Bach and Jana Jedamski and Benjamin Daniels and Martina Roß-Nickoll},
doi = {10.1007/s11252-024-01626-x},
issn = {1573-1642},
year = {2025},
date = {2025-02-00},
urldate = {2025-02-00},
journal = {Urban Ecosystems},
volume = {28},
issue = {41},
publisher = {Springer Science and Business Media LLC},
abstract = {In the present study, we investigate how spiders can be used to assess the effectiveness of restoring mesic grasslands on former urban lawns. We compile and analyze a comprehensive dataset, including both past and current data, focusing on the Aachen region. By systematically examining this data, we identify various indicators using different analytical methods. This approach allows us to distinguish distinct species communities, making them useful as diagnostic tools at various stages of habitat development. Additionally, we identify further parameters that are essential for evaluating meadow restoration in urban settings. We highlight the crucial importance of understanding the local species repertoire, as this knowledge is vital for setting realistic benchmarks for restoration projects.},
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pubstate = {published},
tppubtype = {article}
}
In the present study, we investigate how spiders can be used to assess the effectiveness of restoring mesic grasslands on former urban lawns. We compile and analyze a comprehensive dataset, including both past and current data, focusing on the Aachen region. By systematically examining this data, we identify various indicators using different analytical methods. This approach allows us to distinguish distinct species communities, making them useful as diagnostic tools at various stages of habitat development. Additionally, we identify further parameters that are essential for evaluating meadow restoration in urban settings. We highlight the crucial importance of understanding the local species repertoire, as this knowledge is vital for setting realistic benchmarks for restoration projects.
2024
Bach A; Lauterbach S; Astrin J J; Thorns H; Bauer T
A master in disguise? The rediscovery of Misumena bicolor Simon, 1875 (Araneae: Thomisidae) Artikel
In: Zootaxa, Bd. 5529, Nr. 1, S. 175–185, 2024, ISSN: 1175-5334.
@article{BACH2024c,
title = {A master in disguise? The rediscovery of Misumena bicolor Simon, 1875 (Araneae: Thomisidae)},
author = {Alexander Bach and Stephan Lauterbach and Jonas J. Astrin and Hans-Jürgen Thorns and Tobias Bauer},
doi = {10.11646/zootaxa.5529.1.9},
issn = {1175-5334},
year = {2024},
date = {2024-10-24},
urldate = {2024-10-24},
journal = {Zootaxa},
volume = {5529},
number = {1},
pages = {175--185},
publisher = {Magnolia Press},
abstract = {Misumena bicolor Simon, 1875, an enigmatic species known only from the male holotype collected on Corsica (France), has remained elusive since its initial description. In this study, we report new occurrences of M. bicolor from Sardinia (Italy) and Bavaria (Germany) based on male material, considerably expanding its known distribution. Employing an integrative taxonomic approach encompassing both morphological and COI (barcode) analyses, we confirm M. bicolor as a valid species. As the male of M. bicolor apparently has a distinct coloration, we complement the known distributional data with possible sightings of photographic observations from various naturalist portals and hereby provide additional evidence for the establishment of the species on the French mainland and in Germany.
},
keywords = {},
pubstate = {published},
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Misumena bicolor Simon, 1875, an enigmatic species known only from the male holotype collected on Corsica (France), has remained elusive since its initial description. In this study, we report new occurrences of M. bicolor from Sardinia (Italy) and Bavaria (Germany) based on male material, considerably expanding its known distribution. Employing an integrative taxonomic approach encompassing both morphological and COI (barcode) analyses, we confirm M. bicolor as a valid species. As the male of M. bicolor apparently has a distinct coloration, we complement the known distributional data with possible sightings of photographic observations from various naturalist portals and hereby provide additional evidence for the establishment of the species on the French mainland and in Germany.
Schröer L; Bach A; Oellers J; Nabel M; Kirse A; Stratemann L; Toschki A; Roß-Nickoll M
In: Natur und Landschaft, Bd. 99, Ausg. 09/10, S. 470–479, 2024.
@article{Schröer2024,
title = {Hürden und Chancen der Integration DNA-basierter Methoden für ein Bodenbiodiversitätsmonitoring in Agrarlebensräumen},
author = {Lukas Schröer and Alexander Bach and Johanna Oellers and Moritz Nabel and Ameli Kirse and Lucas Stratemann and Andreas Toschki and Martina Roß-Nickoll},
doi = {10.19217/NuL2024-09-06},
year = {2024},
date = {2024-10-01},
urldate = {2024-10-01},
journal = {Natur und Landschaft},
volume = {99},
issue = {09/10},
pages = {470--479},
abstract = {Trotz steigender Anerkennung der Bedeutung von Bodenorganismen und deren Diversität bestehen auch heute noch große Wissenslücken hinsichtlich der im und auf dem Boden lebenden Organismen. Auf dieser Grundlage entstand die Idee für das BioDivSoil-Projekt, in dem in einem einheitlichen Studiendesign auf drei verschiedenen Standorttypen (Acker, Feldrain, Grünland) Vergleiche zwischen der morphologischen Bestimmung von Organismen (Laufkäfer - Carabidae, Spinnen - Araneae, Springschwänze - Collembola, Hornmilben - Oribatida, Regenwürmer - Lumbricidae) und verschiedenen molekularbiologischen Methoden zur Artbestimmung angestellt werden. So soll die Eignung der molekularbiologischen Methoden als Werkzeug in einem ökologischen Monitoring terrestrischer Lebensräume überprüft werden. Erste Vergleiche der verschiedenen Methoden hinsichtlich der gefundenen Artenzahlen der Gruppen Lumbriciden, Oribatiden und Collembolen zeigen, dass die molekularbiologischen Methoden durchaus Potenzial zur Anwendung innerhalb eines ökologischen Monitorings aufweisen. Dennoch existieren noch große Einschränkungen aufgrund lückenhafter Gendatenbanken, bisher nicht standardisierter Verfahren und der Frage nach der Validierbarkeit der Ergebnisse. Diese Hindernisse müssen auf dem Weg zu einer einheitlichen Anwendung der Methoden im Rahmen eines ökologischen Monitorings von Böden zwingend beseitigt werden.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Trotz steigender Anerkennung der Bedeutung von Bodenorganismen und deren Diversität bestehen auch heute noch große Wissenslücken hinsichtlich der im und auf dem Boden lebenden Organismen. Auf dieser Grundlage entstand die Idee für das BioDivSoil-Projekt, in dem in einem einheitlichen Studiendesign auf drei verschiedenen Standorttypen (Acker, Feldrain, Grünland) Vergleiche zwischen der morphologischen Bestimmung von Organismen (Laufkäfer - Carabidae, Spinnen - Araneae, Springschwänze - Collembola, Hornmilben - Oribatida, Regenwürmer - Lumbricidae) und verschiedenen molekularbiologischen Methoden zur Artbestimmung angestellt werden. So soll die Eignung der molekularbiologischen Methoden als Werkzeug in einem ökologischen Monitoring terrestrischer Lebensräume überprüft werden. Erste Vergleiche der verschiedenen Methoden hinsichtlich der gefundenen Artenzahlen der Gruppen Lumbriciden, Oribatiden und Collembolen zeigen, dass die molekularbiologischen Methoden durchaus Potenzial zur Anwendung innerhalb eines ökologischen Monitorings aufweisen. Dennoch existieren noch große Einschränkungen aufgrund lückenhafter Gendatenbanken, bisher nicht standardisierter Verfahren und der Frage nach der Validierbarkeit der Ergebnisse. Diese Hindernisse müssen auf dem Weg zu einer einheitlichen Anwendung der Methoden im Rahmen eines ökologischen Monitorings von Böden zwingend beseitigt werden.
Jedamski J; Bach A
Tetralonia alticincta (LEPELETIER, 1841) erneut in Deutschland nachgewiesen (Hymenoptera: Apidae) Artikel
In: Anthophila, Bd. 2, Ausg. 1, S. 51–56, 2024.
@article{Jedamski2024,
title = {Tetralonia alticincta (LEPELETIER, 1841) erneut in Deutschland nachgewiesen (Hymenoptera: Apidae)},
author = {Jana Jedamski and Alexander Bach},
url = {https://www.researchgate.net/profile/Alexander-Bach/publication/387084282_Tetralonia_alticincta_LEPELETIER_1841_erneut_in_Deutschland_nachgewiesen_Hymenoptera_Apidae/links/675fe13ee9427c77e9169496/Tetralonia-alticincta-LEPELETIER-1841-erneut-in-Deutschland-nachgewiesen-Hymenoptera-Apidae.pdf},
year = {2024},
date = {2024-08-01},
journal = {Anthophila},
volume = {2},
issue = {1},
pages = {51--56},
abstract = {The long-horned bee Tetralonia alticincta (LEPELETIER, 1841) has been documented in Aachen (North Rhine-Westphalia) in 2019. Previously, this species was only known from the Kaiserstuhl region of Baden-Württemberg, with the last observation dating back more than 90 years (STROHM 1925). This newly identified occurrence prompts
consideration on the possible origins of the individual. Furthermore, the conservation status of the species throughout Central Europe is discussed.},
keywords = {},
pubstate = {published},
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The long-horned bee Tetralonia alticincta (LEPELETIER, 1841) has been documented in Aachen (North Rhine-Westphalia) in 2019. Previously, this species was only known from the Kaiserstuhl region of Baden-Württemberg, with the last observation dating back more than 90 years (STROHM 1925). This newly identified occurrence prompts
consideration on the possible origins of the individual. Furthermore, the conservation status of the species throughout Central Europe is discussed.
consideration on the possible origins of the individual. Furthermore, the conservation status of the species throughout Central Europe is discussed.
Bach A; Raub F; Höfer H; Ottermanns R; Roß-Nickoll M
In: Database, Bd. 2024, S. baae004, 2024, ISSN: 1758-0463.
@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},
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}
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
2023
Raub F; Bach A; Bauer T; Höfer H
In: Arachnologische Mitteilungen: Arachnology Letters, Bd. 66, Ausg. 2, S. iii–iv, 2023, ISSN: 1018-4171.
@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 = {},
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}
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.
Bach A; Roß-Nickoll M; Holstein J; Ottermanns R; Raub F; Triebel D; Weiss M; Wendt I; Höfer H
In: Arachnologische Mitteilungen: Arachnology Letters, Bd. 66, Ausg. 1, S. 79–85, 2023, ISSN: 1018-4171.
@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}
}
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).
Bach A
Empowering ecological research by improving access and usability of biodiversity data: an arachnological perspective Promotionsarbeit
RWTH Aachen University, 2023.
@phdthesis{Bach2023c,
title = {Empowering ecological research by improving access and usability of biodiversity data: an arachnological perspective},
author = {Alexander Bach},
doi = {10.18154/RWTH-2023-08502},
year = {2023},
date = {2023-08-21},
pages = {190},
school = {RWTH Aachen University},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}