Relevant bibliographies by topics / Darwin Core mapping

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Academic literature on the topic 'Darwin Core mapping'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Darwin Core mapping"

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Wieczorek, John, Paul J. Morris, James Hanken, et al. "Darwin Cloud: Mapping real-world data to Darwin Core." Biodiversity Information Science and Standards 1 (August 21, 2017): e20486. https://doi.org/10.3897/tdwgproceedings.1.20486.

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Since its ratification as a TDWG standard in 2009, data publishers have had to struggle with the essential step of mapping fields in working databases to the terms in Darwin Core Wieczorek et al. 2012 in order to publish and share data using that standard. Doing so requires a good understanding of both the data set and Darwin Core. The accumulated knowledge about these mappings constitutes what we call the "Darwin Cloud." We will explore the nature of data mapping challenges and the potential for semi-automated solutions to them. Specifically, we will look at the "Darwinizer" actor and its usa
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Wieczorek, John, Paul J. Morris, James Hanken, et al. "Darwin Cloud: Mapping real-world data to Darwin Core." Proceedings of TDWG 1 (August 21, 2017): e20486. http://dx.doi.org/10.3897/tdwgproceedings.1.20486.

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Hall, Kathryn, Matt Andrews, Keeva Connolly, et al. "The Australian Reference Genome Atlas (ARGA): Finding, sharing and reusing Australian genomics data in an occurrence-driven context." Biodiversity Information Science and Standards 7 (September 6, 2023): e112129. https://doi.org/10.3897/biss.7.112129.

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Fundamental to the capacity of Australia's 15,000 biosciences researchers to answer questions in taxonomy, phylogeny, evolution, conservation, and applied fields like crop improvement and biosecurity, is access to trusted genomics (and genetics) datasets. Historically, researchers turned to single points of origin, like GenBank (part of the United States' National Center for Biotechnology Information), to find the reference or comparative data they needed, but the rapidity of data generation using next-gen methods, and the enormous size and diversity of datasets derived from next-gen sequencin
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Meyer, Raïssa, Pier Buttigieg, John Wieczorek, et al. "Aligning Standards Communities: Sustainable Darwin Core MIxS Interoperability." Biodiversity Information Science and Standards 5 (September 1, 2021): e73775. https://doi.org/10.3897/biss.5.73775.

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Biodiversity is increasingly being assessed using omic technologies (e.g. metagenomics or metatranscriptomics); however, the metadata generated by omic investigations is not fully harmonised with that of the broader biodiversity community. There are two major communities developing metadata standards specifications relevant to omic biodiversity data: TDWG, through its Darwin Core (DwC) standard, and the Genomic Standard Consortium (GSC), through its Minimum Information about any (x) Sequence (MIxS) checklists. To prevent these specifications leading to silos between the communities using them
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Klazenga, Niels, and Johan Liljeblad. "Expressing Circumscription in the Taxon Concept Schema (TCS)." Biodiversity Information Science and Standards 8 (November 1, 2024): e140738. https://doi.org/10.3897/biss.8.140738.

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The Taxon Concept Schema (TCS, Biodiversity Information Standards (TDWG) 2005) is the TDWG standard for sharing taxonomic data. TCS has never enjoyed widespread use and most taxonomic data is exchanged using the Darwin Core (Wieczorek et al. 2012) Taxon class or non-standard terms. For the last three years, the TCS 2 Task Group has been working on a major new version, which will take TCS out of its XML Schema and convert it to a vocabulary standard of terms and definitions that does not dictate a data format and can be maintained under the TDWG Vocabulary Maintenance Standard (Vocabulary Maint
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Strong, Mieke, and Piers Higgs. "Mapping between Darwin Core and the Australian Biodiversity Information Standard: A linked data example." Biodiversity Information Science and Standards 7 (September 15, 2023): e112722. https://doi.org/10.3897/biss.7.112722.

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The Australian Biodiversity Information Standard (ABIS) is a data standard that has been developed to represent and exchange biodiversity data expressed using the Resource Description Framework (RDF). ABIS has the TERN ontology at its core, which is a conceptual information model that represents plot-based ecological surveys. The RDF-linked data structure is self-describing, composed of "triples". This format is quite different from tabular data. During the Australian federal government Biodiversity Data Repository pilot project, occurrence data in tabular Darwin Core format was converted into
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Meyer, Raïssa, Ward Appeltans, William Duncan, et al. "Aligning Standards Communities for Omics Biodiversity Data: Sustainable Darwin Core-MIxS Interoperability." Biodiversity Data Journal 11 (October 3, 2023): e112420. https://doi.org/10.3897/BDJ.11.e112420.

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The standardization of data, encompassing both primary and contextual information (metadata), plays a pivotal role in facilitating data (re-)use, integration, and knowledge generation. However, the biodiversity and omics communities, converging on omics biodiversity data, have historically developed and adopted their own distinct standards, hindering effective (meta)data integration and collaboration.In response to this challenge, the Task Group (TG) for Sustainable DwC-MIxS Interoperability was established. Convening experts from the Biodiversity Information Standards (TDWG) and the Genomic S
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Desmet, Peter, Hoey Stijn Van, Lien Reyserhove, Dimitri Brosens, Damiano Oldoni, and Tanja Milotic. "Standardizing Biologging Data for LifeWatch: Camera Traps, Acoustic Telemetry and GPS Tracking." Biodiversity Information Science and Standards 3 (June 26, 2019): e37413. https://doi.org/10.3897/biss.3.37413.

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The Research Institute for Nature and Forest (INBO) is co-managing three biologging networks as part of a terrestrial and freshwater observatory for LifeWatch Belgium. The networks are a GPS tracking network for large birds, an acoustic receiver network for fish, and a camera trap network for mammals. As part of our mission at the Open science lab for biodiversity, we are publishing the machine observations these networks generate as standardized, open data. One of the challenges however, is finding the appropriate standards and platforms to do so. In this talk, we will present the three netwo
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Salim, José Augusto, and Antonio Saraiva. "A Google Sheet Add-on for Biodiversity Data Standardization and Sharing." Biodiversity Information Science and Standards 4 (October 2, 2020): e59228. https://doi.org/10.3897/biss.4.59228.

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For those biologists and biodiversity data managers who are unfamiliar with information science data practices of data standardization, the use of complex software to assist in the creation of standardized datasets can be a barrier to sharing data.Since the ratification of the Darwin Core Standard (DwC) (Darwin Core Task Group 2009) by the Biodiversity Information Standards (TDWG) in 2009, many datasets have been published and shared through a variety of data portals. In the early stages of biodiversity data sharing, the protocol Distributed Generic Information Retrieval (DiGIR), progenitor of
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Frøslev, Tobias, Thomas Jeppesen, Tim Robertson, and Dmitry Schigel. "eDNA Metabarcoding Data in the Global Biodiversity Information Facility (GBIF)." Biodiversity Information Science and Standards 7 (August 7, 2023): e110672. https://doi.org/10.3897/biss.7.110672.

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The Global Biodiversity Information Facility (GBIF) is an international network and data infrastructure that provides free and open access to biodiversity data from around the world, enabling scientists, policymakers, and the public to explore and analyze information about the Earth's living organisms. Originally developing at a distance from GBIF, metabarcoding of DNA has become a standard tool for detecting species in bulk samples or environmental samples such as soil, water, and air. Raw sequence data (fastq files) are often shared and deposited in dedicated repositories. Seen from a biodiv
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Conference papers on the topic "Darwin Core mapping"

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Serique, Kleberson J. do A., José L. Campos Dos Santos, and Dilvan A. Moreira. "BioDSL: A Domain-Specific Language for mapping and dissemination of Biodiversity Data in the LOD." In X Brazilian e-Science Workshop. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/bresci.2016.10011.

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Currently, Linked Open Data (LOD) have enabled integrated data sharing across disciplines over the Web. However, for LOD users, in areas such as biodiversity (which massively use the Web to disseminate data), the task of transforming data file contents in CSV (Comma Separated Value) to RDF (Resource Description Framework) is not trivial. We have developed a new approach to map data files in CSV to RDF format based on a domain-specific language (DSL) called BioDSL. Using it, biodiversity data users can write compact programs to map their data to RDF and link them to the LOD. Biodiversity vocabu
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Serique, Kleberson J. do A., José L. Campos Dos Santos, and Dilvan A. Moreira. "BioDSL: A Domain-Specific Language for mapping and dissemination of Biodiversity Data in the LOD." In X Brazilian e-Science Workshop. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/bresci.2016.9125.

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Currently, Linked Open Data (LOD) have enabled integrated data sharing across disciplines over the Web. However, for LOD users, in areas such as biodiversity (which massively use the Web to disseminate data), the task of transforming data file contents in CSV (Comma Separated Value) to RDF (Resource Description Framework) is not trivial. We have developed a new approach to map data files in CSV to RDF format based on a domain-specific language (DSL) called BioDSL. Using it, biodiversity data users can write compact programs to map their data to RDF and link them to the LOD. Biodiversity vocabu
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Seredenciuc, Nadia-Laura. "Certainty and Uncertainty in Education - A Contemporary Challenge for Teachers." In ATEE 2020 - Winter Conference. Teacher Education for Promoting Well-Being in School. LUMEN Publishing, 2021. http://dx.doi.org/10.18662/lumproc/atee2020/31.

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This study is a reflection on educational reality based on certainty and uncertainty coordinates. Exploring the significance of the binomial reality, generated by the different degrees of certainty, perceived by the actors involved in teaching, the article proposes a few acting options, in order to develop an appropriate orientation of the teacher training process, in a contemporary society marked by the “certainty of uncertainty”. Embracing the unknown, coping with unfamiliar situations, reflecting constructively on one’s own mistakes, as part of a teacher daily activity, are generated by a g
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Admiraal, Wilfried, and Irma Heemskerk. "ONLINE WORKSPACES TO SUPPORT TEACHER COMMUNITIES IN SECONDARY SCHOOLS." In eLSE 2012. Editura Universitara, 2012. http://dx.doi.org/10.12753/2066-026x-12-065.

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Introduction There are steadily expanding claims that teacher community contributes to the improvement in the practices of teaching and schooling (cf., Witziers et al., 1999; Little, 2003; Darling-Hammond and Bransford, 2005) as well as individual teacher development and the collective capacity schools (cf., Seashore Louis et al., 1996; Grossman et al., 2001; Imants et al., 2001; Achinstein, 2002; Piazza et al., 2009). In line with Grossman et al. (2001), we are interested in teacher community at the local level, where interaction, dialogue and trust are necessary elements of building cohesion
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