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  • 1
    In: Research Ideas and Outcomes, Pensoft Publishers, Vol. 6 ( 2020-02-03)
    Abstract: Plants, fungi and algae are important components of global biodiversity and are fundamental to all ecosystems. They are the basis for human well-being, providing food, materials and medicines. Specimens of all three groups of organisms are accommodated in herbaria, where they are commonly referred to as botanical specimens. The large number of specimens in herbaria provides an ample, permanent and continuously improving knowledge base on these organisms and an indispensable source for the analysis of the distribution of species in space and time critical for current and future research relating to global biodiversity. In order to make full use of this resource, a research infrastructure has to be built that grants comprehensive and free access to the information in herbaria and botanical collections in general. This can be achieved through digitization of the botanical objects and associated data. The botanical research community can count on a long-standing tradition of collaboration among institutions and individuals. It agreed on data standards and standard services even before the advent of computerization and information networking, an example being the Index Herbariorum as a global registry of herbaria helping towards the unique identification of specimens cited in the literature. In the spirit of this collaborative history, 51 representatives from 30 institutions advocate to start the digitization of botanical collections with the overall wall-to-wall digitization of the flat objects stored in German herbaria. Germany has 70 herbaria holding almost 23 million specimens according to a national survey carried out in 2019. 87% of these specimens are not yet digitized. Experiences from other countries like France, the Netherlands, Finland, the US and Australia show that herbaria can be comprehensively and cost-efficiently digitized in a relatively short time due to established workflows and protocols for the high-throughput digitization of flat objects. Most of the herbaria are part of a university (34), fewer belong to municipal museums (10) or state museums (8), six herbaria belong to institutions also supported by federal funds such as Leibniz institutes, and four belong to non-governmental organizations. A common data infrastructure must therefore integrate different kinds of institutions. Making full use of the data gained by digitization requires the set-up of a digital infrastructure for storage, archiving, content indexing and networking as well as standardized access for the scientific use of digital objects. A standards-based portfolio of technical components has already been developed and successfully tested by the Biodiversity Informatics Community over the last two decades, comprising among others access protocols, collection databases, portals, tools for semantic enrichment and annotation, international networking, storage and archiving in accordance with international standards. This was achieved through the funding by national and international programs and initiatives, which also paved the road for the German contribution to the Global Biodiversity Information Facility (GBIF). Herbaria constitute a large part of the German botanical collections that also comprise living collections in botanical gardens and seed banks, DNA- and tissue samples, specimens preserved in fluids or on microscope slides and more. Once the herbaria are digitized, these resources can be integrated, adding to the value of the overall research infrastructure. The community has agreed on tasks that are shared between the herbaria, as the German GBIF model already successfully demonstrates. We have compiled nine scientific use cases of immediate societal relevance for an integrated infrastructure of botanical collections. They address accelerated biodiversity discovery and research, biomonitoring and conservation planning, biodiversity modelling, the generation of trait information, automated image recognition by artificial intelligence, automated pathogen detection, contextualization by interlinking objects, enabling provenance research, as well as education, outreach and citizen science. We propose to start this initiative now in order to valorize German botanical collections as a vital part of a worldwide biodiversity data pool.
    Type of Medium: Online Resource
    ISSN: 2367-7163
    Language: Unknown
    Publisher: Pensoft Publishers
    Publication Date: 2020
    detail.hit.zdb_id: 2833254-4
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  • 2
    In: Biodiversity Information Science and Standards, Pensoft Publishers, Vol. 3 ( 2019-06-18)
    Abstract: Herbarium specimens have always played a central role in the classical disciplines of plant sciences and the global digitisation efforts now open new horizons. To make full use of the inherent possibilities of specimen based taxonomic descriptions corresponding workflows are needed. A crucial step in the comparative analyses of organisms is the preparation of a character matrix to record and compare the morphological variation of taxa on the basis of individual specimens. This project focuses on the optimisation of the taxonomic research process with respect to delimitation and characterisation (“descriptions”) of taxa (Henning et al. 2018). The angiosperm order Caryophyllales provides exemplar use cases through cooperation with the Global Caryophyllales Initiative (Borsch et al. 2015). The workflow for sample data handling (Kilian et al. 2015), implemented on the EDIT Platform for Cybertaxonomy (http://www.cybertaxonomy.org, Ciardelli et al. 2009), has been extended to support additive characterisation of taxa via specimen character data. The Common Data Model (CDM), already supporting persistent inter-linking of specimens and their metadata (Plitzner et al. 2017), has been adapted to facilitate specimen descriptions with characters constructed from the combination of structure and property terms and their corresponding states. Semantic web technology is used to establish and continuously elaborate expert community-coordinated exemplar vocabularies with term ontologies and explanations for characters and states (GFBio Terminology Service, Karam et al. 2016). Character data are recorded and stored in structured form in character state matrices for individual specimens instead of taxa, which allows generation of taxon characterisations by aggregating the data sets for the individual specimens included. Separating characters in structures and properties, which are based on concepts in public ontologies, guarantees a high visibility and instant re-usability of these character data. Taking into account that taxon concepts evolve during the iterative knowledge generation process in systematic biology, additivity of character data from specimen to taxon level therefore greatly facilitates the construction and reproducibility of taxon characterisations from changing specimen and character data sets.
    Type of Medium: Online Resource
    ISSN: 2535-0897
    Language: Unknown
    Publisher: Pensoft Publishers
    Publication Date: 2019
    detail.hit.zdb_id: 3028709-1
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  • 3
    In: Biodiversity Information Science and Standards, Pensoft Publishers, Vol. 3 ( 2019-06-21)
    Abstract: The International Code of Nomenclature (ICN) for algae, fungi, and plants provides for nomenclatural indexing through nomenclatural repositories (Turland et al. 2018, Art. 42). Registering nomenclatural novelties and nomenclatural acts means that repositories will keep track of names (species names and names at all ranks, replacement names, names proposed for conservation or rejection, validated names) and of nomenclatural types, including lectotypes and epitypes. Thus, PhycoBank has been advocated by different players such as the International Society for Diatom Research (ISDR), the Global Biodiversity Information Facility (GBIF), and the Special Committee on Registration of Algal and Plant Names (including fossils). Aided by a grant from the German Research Foundation (DFG, JA 874/8-1), PhycoBank has been established at the BGBM Berlin as the repository for nomenclatural acts of algae. As added value, PhycoBank deals with orthographical variants in linking the published spelling of a name to the corrected one with reference to the respective article of the ICN (Turland et al. 2018, Art. 60). Almost all nomenclatural acts are the result of taxonomic issues but also have implications for the taxonomic work of specialists worldwide. The challenge for implementing a registration system like PhycoBank is to inform individual scientists as well as to feed data into data networks, to strengthen their underlying names backbone linking scientific names to occurrences. Since June 2018, PhycoBank staff are operating the registration system using a user-friendly data entry web application. This interface for data entry by volunteers has been available since March 2019. All data entered into the system undergoes a curatorial process to assure a high level of data quality. The data entry web application is complemented by a public data access portal which is available under https://www.phycobank.org (Fig. 1). PhycoBank can be searched for scientific names (including unregistered formal or informal higher rank names), for categories of types and PhycoBank identifiers. PhycoBank assigns resolvable and globally unique HTTP-based identifiers for nomenclatural acts, e.g. for the genus Iconella, https://phycobank.org/100040. Via these PhycoBank identifiers, the corresponding data and metadata can be retrieved in human- and machine-readable formats. More than ten journals have published PhycoBank identifiers so far, allowing cross-linking between their PDF and the PhycoBank system. The Pensoft journals are pioneering an automatic registration workflow modeled and specified by the PhycoBank team. Classifications are frequently subject to changes. Currently, the algal classification is under discussion because of results from phylogenetic research. PhycoBank aims to be neutral with respect to higher classification, but tracks classification information of each name that is registered into a directed graph of available higher rank names to record fragments of higher classification information and to facilitate search functionalities. All scientists, editors, and publishers involved in the publication of nomenclatural novelties are invited to contact PhycoBank (curation@phycobank.org) to influence the prototypical registration process and to improve PhycoBank’s functionality.
    Type of Medium: Online Resource
    ISSN: 2535-0897
    Language: Unknown
    Publisher: Pensoft Publishers
    Publication Date: 2019
    detail.hit.zdb_id: 3028709-1
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  • 4
    Online Resource
    Online Resource
    Pensoft Publishers ; 2018
    In:  Biodiversity Information Science and Standards Vol. 2 ( 2018-05-21), p. e25415-
    In: Biodiversity Information Science and Standards, Pensoft Publishers, Vol. 2 ( 2018-05-21), p. e25415-
    Abstract: On herbarium sheets, data elements such as plant name, collection site, collector, barcode and accession number are found mostly on labels glued to the sheet. The data are thus visible on specimen images. With continuously improving technologies for collection mass-digitisation it has become easier and easier to produce high quality images of herbarium sheets and in the last few years herbarium collections worldwide have started to digitize specimens on an industrial scale (Tegelberg et al. 2014). To use the label data contained in these massive numbers of images, they have to be captured and databased. Currently, manual data entry prevails and forms the principal cost and time limitation in the digitization process. The StanDAP-Herb Project has developed a standard process for (semi-) automatic detection of data on herbarium sheets. This is a formal extensible workflow integrating a wide range of automated specimen image analysis services, used to replace time-consuming manual data input as far as possible. We have created web-services for OCR (Optical Character Recognition); for identifying regions of interest in specimen images and for the context-sensitive extraction of information from text recognized by OCR. We implemented the workflow as an extension of the OpenRefine platform (Verborgh and De Wilde 2013).
    Type of Medium: Online Resource
    ISSN: 2535-0897
    Language: Unknown
    Publisher: Pensoft Publishers
    Publication Date: 2018
    detail.hit.zdb_id: 3028709-1
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  • 5
    Online Resource
    Online Resource
    Wiley ; 1997
    In:  TAXON Vol. 46, No. 2 ( 1997-05), p. 283-309
    In: TAXON, Wiley, Vol. 46, No. 2 ( 1997-05), p. 283-309
    Abstract: Berendsohn, W. G.: A taxonomic information model for botanical databases: the IOPI Model – Taxon 46: 283‐309. 1997. – ISSN 0040‐0262. A comprehensive information model for the recording of taxonomic data from literature and other sources is presented, which was devised for the Global Plant Checklist database project of the International Organisation of Plant Information (IOPI). The model is based on an approach using hierarchical decomposition of data areas into atomic data elements and – in parallel – abstraction into an entity relationship model. It encompasses taxa of all ranks, nothotaxa and hybrid formulae, “unnamed taxa”, cultivars, full synonymy, misapplied names, basionyms, nomenclatural data, and differing taxonomic concepts (potential taxa) as well as alternative taxonomies to any extent desired. The model was developed together with related models using a CASE (Computer Aided Software Engineering) tool. It can help designers of biological information systems to avoid the widely made error of over‐simplification of taxonomic data and the resulting loss in data accuracy and quality.
    Type of Medium: Online Resource
    ISSN: 0040-0262 , 1996-8175
    Language: English
    Publisher: Wiley
    Publication Date: 1997
    detail.hit.zdb_id: 2081189-5
    detail.hit.zdb_id: 204216-2
    SSG: 12
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  • 6
    Online Resource
    Online Resource
    Wiley ; 2013
    In:  TAXON Vol. 62, No. 6 ( 2013-12), p. 1248-1258
    In: TAXON, Wiley, Vol. 62, No. 6 ( 2013-12), p. 1248-1258
    Abstract: Biological specimens in research collections provide the most important baseline information for systematic research. Traditionally, they are annotated by experts in written form, which remains directly associated with the specimens. These annotations, defined as data added at a later stage to the original data, provide an important quality control mechanism. They improve the value of herbarium specimens and are identification trails documenting the development of taxonomic concepts over time. With specimen data increasingly becoming accessible via the Internet, a general online annotation system that ensures that the traditional data sharing and documentation of specimen data is continued after the information is mobilised through digitisation, is currently missing. We lay out the prerequisites for such an annotation system including data standards, a data repository, system access, and user roles. We also introduce an exemplar solution developed in the DFG–funded AnnoSys project. AnnoSys is being implemented using the example of collection and observation data in the botanical domain as provided by the GBIF/BioCASe networks. It provides a user–friendly interface to allow researchers to produce and discover annotations. If a record has been annotated, both the annotation and the original record will be stored in a repository, linked via a persistent identifier, and will be accessible through the AnnoSys interfaces. Collection holders and scientists specifically interested in a subset of data will be informed about annotations in which they have expressed interest. We discuss AnnoSys in relation to the FilteredPush project, which pursues the same goal in facilitating and communicating online annotations, but which takes a different approach.
    Type of Medium: Online Resource
    ISSN: 0040-0262 , 1996-8175
    Language: English
    Publisher: Wiley
    Publication Date: 2013
    detail.hit.zdb_id: 2081189-5
    detail.hit.zdb_id: 204216-2
    SSG: 12
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  • 7
    Online Resource
    Online Resource
    Wiley ; 1997
    In:  TAXON Vol. 46, No. 3 ( 1997-08), p. 563-565
    In: TAXON, Wiley, Vol. 46, No. 3 ( 1997-08), p. 563-565
    Type of Medium: Online Resource
    ISSN: 0040-0262 , 1996-8175
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 1997
    detail.hit.zdb_id: 2081189-5
    detail.hit.zdb_id: 204216-2
    SSG: 12
    Location Call Number Limitation Availability
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  • 8
    Online Resource
    Online Resource
    Wiley ; 1995
    In:  TAXON Vol. 44, No. 2 ( 1995-05), p. 207-212
    In: TAXON, Wiley, Vol. 44, No. 2 ( 1995-05), p. 207-212
    Abstract: Berendsohn, W. G.: The concept of “potential taxa” in databases. – Taxon 44: 207‐212. 1995. – ISSN 0040‐0262. The concept of a “potential taxon” as a name‐ and literature‐related data area in botanical databases is introduced. A potential taxon is a name with taxon circumscription information attached to it by means of one or more literature references. As a compromise solution between linking information in database systems entirely to specimen data or only to accepted names, using potential taxa can effectively preserve information links without hindering rapid database input and information processing. It is suggested that a potential taxon be cited by its name, followed by the abbreviation “sec.” (for secundum = according to) and at least one of the literature references used to define it.
    Type of Medium: Online Resource
    ISSN: 0040-0262 , 1996-8175
    Language: English
    Publisher: Wiley
    Publication Date: 1995
    detail.hit.zdb_id: 2081189-5
    detail.hit.zdb_id: 204216-2
    SSG: 12
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  • 9
    Online Resource
    Online Resource
    The University of Kansas ; 2010
    In:  Biodiversity Informatics Vol. 7, No. 2 ( 2010-10-09)
    In: Biodiversity Informatics, The University of Kansas, Vol. 7, No. 2 ( 2010-10-09)
    Type of Medium: Online Resource
    ISSN: 1546-9735
    Language: Unknown
    Publisher: The University of Kansas
    Publication Date: 2010
    detail.hit.zdb_id: 2170647-5
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  • 10
    In: Willdenowia, Botanic Garden and Botanical Museum Berlin, Freie Universitaet Berlin, Vol. 48, No. 3 ( 2018-9-17), p. 335-
    Type of Medium: Online Resource
    ISSN: 0511-9618
    RVK:
    Language: Unknown
    Publisher: Botanic Garden and Botanical Museum Berlin, Freie Universitaet Berlin
    Publication Date: 2018
    detail.hit.zdb_id: 2177080-3
    SSG: 12
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