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Now showing 1 - 10 of 10
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    Herbst TIB DOI Konsortium online Workshops - Metadaten Best Practice
    (Hannover : Technische Informationsbibliothek, PID Competence Center, 2021-11-09) Taller, Nelli; Dreyer, Britta; Burger, Felix; Hagemann-Wilholt, Stephanie
    Folien für den virtuellen Workshop "Herbst TIB DOI Konsortium online Workshops - Metadaten Best Practice".
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    ATMODAT Standard v3.0
    (Hamburg : DKRZ, 2020) Gasnke, Anette; Kraft, Angelina; Kaiser, Amandine; Heydebreck, Daniel; Lammert, Andrea; Höck, Heinke; Thiemann, Hannes; Voss, Vivien; Grawe, David; Leitl, Bernd; Schlünzen, K. Heinke; Kretzschmar, Jan; Quaas, Johannes
    Within the AtMoDat project (Atmospheric Model Data), a standard has been developed which is meant for improving the FAIRness of atmospheric model data published in repositories. The ATMODAT standard includes concrete recommendations related to the maturity, publication and enhanced FAIRness of atmospheric model data. The suggestions include requirements for rich metadata with controlled vocabularies, structured landing pages, file formats (netCDF) and the structure within files. Human- and machine readable landing pages are a core element of this standard, and should hold and present discipline-specific metadata on simulation and variable level. This standard is an updated and translated version of "Bericht über initialen Kernstandard und Kurationskriterien des AtMoDat Projektes (v2.4)
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    Persistent identification of instruments
    (London : Ubiquity Press, 2020) Stocker, M.; Darroch, L.; Krahl, R.; Habermann, T.; Devaraju, A.; Schwardmann, U.; D’onofrio, C.; Häggström, I.
    Instruments play an essential role in creating research data. Given the importance of instruments and associated metadata to the assessment of data quality and data reuse, globally unique, persistent and resolvable identification of instruments is crucial. The Research Data Alliance Working Group Persistent Identification of Instruments (PIDINST) developed a community-driven solution for persistent identification of instruments which we present and discuss in this paper. Based on an analysis of 10 use cases, PIDINST developed a metadata schema and prototyped schema implementation with DataCite and ePIC as representative persistent identifier infrastructures and with HZB (Helmholtz-Zentrum Berlin für Materialien und Energie) and BODC (British Oceanographic Data Centre) as representative institutional instrument providers. These implementations demonstrate the viability of the proposed solution in practice. Moving forward, PIDINST will further catalyse adoption and consolidate the schema by addressing new stakeholder requirements.
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    Erster TIB DOI Konsortium online Workshop - DataCite Metadaten Schema 4.4
    (Hannover : Technische Informationsbibliothek, PID Competence Center, 2021-05-03) Taller, Nelli; Burger, Felix; Dreyer, Britta
    Folien für den virtuellen Workshop "Erster TIB DOI Konsortium online Workshop - DataCite Metadaten Schema 4.4".
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    Persistent Identification Of Instruments
    (Ithaka : Cornell University, 2020) Stocker, Markus; Darroch, Louise; Krahl, Rolf; Habermann, Ted; Devaraju, Anusuriya; Schwardmann, Ulrich; D'Onofrio, Claudio; Häggström, Ingemar
    Instruments play an essential role in creating research data. Given the importance of instruments and associated metadata to the assessment of data quality and data reuse, globally unique, persistent and resolvable identification of instruments is crucial. The Research Data Alliance Working Group Persistent Identification of Instruments (PIDINST) developed a community-driven solution for persistent identification of instruments which we present and discuss in this paper. Based on an analysis of 10 use cases, PIDINST developed a metadata schema and prototyped schema implementation with DataCite and ePIC as representative persistent identifier infrastructures and with HZB (Helmholtz-Zentrum Berlin für Materialien und Energie) and BODC (British Oceanographic Data Centre) as representative institutional instrument providers. These implementations demonstrate the viability of the proposed solution in practice. Moving forward, PIDINST will further catalyse adoption and consolidate the schema by addressing new stakeholder requirements.
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    D3.3.1 Metadata schema extension for archival systems ; DURAARK - Durable Architectural Knowledge ; FP7 - ICT - Digital Preservation
    (2014) Beetz, Jakob; Lindlar, Michelle; Dietze, Stefan; Gadiraju, Ujwal; Long, Qinqin
    In this report strategies are outlined how relevant metadata for the digital preservation of architectural data and related external vocabularies can be structured and stored. Related requirements are identified in WP7, further specified in WP2 and documented in the deliverables D 2.2.1, D.2.2.2, D.2.2.3 (Requirements documents) and D.7.7.1. Metadata for data identified relevant within the scope of the DURAARK project will be captured in OWL/RDF metadata schemas that re-use existing and recognized metadata standards and only extend them where deemed necessary. The proposed domain-specific metadata structures cover three main aspects: Descriptive metadata that stores domain-specific summaries and classification information of buildings as an intellectual entity type in a LTP system. Technical metadata that captures information about Building Information Models (BIM’s) and point cloud models which are the two main representation forms of buildings the DURAARK project focuses on. Linked Data metadata that captures information about the vocabularies and datasets that are used for the semantic enrichment of building models. These are stored separately alongside the individual building model Information Packages (IP) in the archive in a Semantic Digital Archive (SDA) for the storage and a Semantic Digital Observatory (SDO) for the processing of such volatile, evolving data. The use of this metadata from IFC models and inference methods are described in generic vendor-neutral terms and exemplified as an extension implementation to the existing archival system. The suggested reuse of existing schemas and vocabularies is illustrated in a number of use cases in section 4. In the appendices of this document complete listings of the respective vocabularies and schemas are provided. The results of this document have been created in collaboration with the work and deliverables in other work packages and specifically with work packages 2 and 7.
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    AtMoDat: Improving the reusability of ATmospheric MOdel DATa with DataCite DOIs paving the path towards FAIR data
    (München : European Geosciences Union, 2020) Neumann, Daniel; Ganske, Anette; Voss, Vivien; Kraft, Angelina; Höck, Heinke; Peters, Karsten; Quaas, Johannes; Schluenzen, Heinke; Thiemann, Hannes
    The generation of high quality research data is expensive. The FAIR principles were established to foster the reuse of such data for the benefit of the scientific community and beyond. Publishing research data with metadata and DataCite DOIs in public repositories makes them findable and accessible (FA of FAIR). However, DOIs and basic metadata do not guarantee the data are actually reusable without discipline-specific knowledge: if data are saved in proprietary or undocumented file formats, if detailed discipline-specific metadata are missing and if quality information on the data and metadata are not provided. In this contribution, we present ongoing work in the AtMoDat project, -a consortium of atmospheric scientists and infrastructure providers, which aims on improving the reusability of atmospheric model data. Consistent standards are necessary to simplify the reuse of research data. Although standardization of file structure and metadata is well established for some subdomains of the earth system modeling community – e.g. CMIP –, several other subdomains are lacking such standardization. Hence, scientists from the Universities of Hamburg and Leipzig and infrastructure operators cooperate in the AtMoDat project in order to advance standardization for model output files in specific subdomains of the atmospheric modeling community. Starting from the demanding CMIP6 standard, the aim is to establish an easy-to-use standard that is at least compliant with the Climate and Forecast (CF) conventions. In parallel, an existing netCDF file convention checker is extended to check for the new standards. This enhanced checker is designed to support the creation of compliant files and thus lower the hurdle for data producers to comply with the new standard. The transfer of this approach to further sub-disciplines of the earth system modeling community will be supported by a best-practice guide and other documentation. A showcase of a standard for the urban atmospheric modeling community will be presented in this session. The standard is based on CF Conventions and adapts several global attributes and controlled vocabularies from the well-established CMIP6 standard. Additionally, the AtMoDat project aims on introducing a generic quality indicator into the DataCite metadata schema to foster further reuse of data. This quality indicator should require a discipline-specific implementation of a quality standard linked to the indicator. We will present the concept of the generic quality indicator in general and in the context of urban atmospheric modeling data.
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    Discussion on Existing Standards and Quality Criteria in Nanosafety Research : Summary of the NanoS-QM Expert Workshop
    (Zenodo, 2021) Binder, Kunigunde; Bonatto Minella, Christian; Elberskirchen, Linda; Kraegeloh, Annette; Liebing, Julia; Petzold, Christiane; Razum, Matthias; Riefler, Norbert; Schins, Roel; Sofranko, Adriana; van Thriel, Christoph; Unfried, Klaus
    The partners of the research project NanoS-QM (Quality- and Description Standards for Nanosafety Research Data) identified and invited relevant experts from research institutions, federal agencies, and industry to evaluate the traceability of the results generated with the existing standards and quality criteria. During the discussion it emerged that numerous studies seem to be of insufficient quality for regulatory purposes or exhibit weaknesses with regard to data completeness. Deficiencies in study design could be avoided by more comprehensive use of appropriate standards, many of which already exist. The use of Electronic Laboratory Notebooks (ELNs) that allow for early collection of metadata and enrichment of datasets could be one solution to enable data re-use and simplify quality control. Generally, earlier provision and curation of data and metadata indicating their quality and completeness (e.g. guidelines, standards, standard operating procedures (SOPs) that were used) would improve their findability, accessibility, interoperability, and reusability (FAIR) in the nanosafety research field.
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    Frühlings TIB DOI Konsortium online Workshop - Best Practices Empfehlungen zum DOI-Metadatenfeld relatedIdentifier
    (Hannover : Technische Informationsbibliothek, PID Competence Center, 2022-05-12) Taller, Nelli; Burger, Felix
    Folien für den virtuellen Workshop "Frühlings TIB DOI Konsortium online Workshop - Best Practices Empfehlungen zum DOI-Metadatenfeld relatedIdentifier".
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    Isn't a number and a URL enough? Why PIDs matter and technical solutions alone are not sufficient
    (Zenodo, 2023) Schrader, Antonia C.; Hagemann-Wilholt, Stephanie; Czerniak, Andreas
    In the presentation, we introduce the two projects PID4NFDI and PID Network Germany that deal with PIDs at the national level, present some initial findings and highlight their benefit for NFDI. PIDs are used and needed along the entire lifecycle of research data: from enabling to connecting. However, a particular focus for the presentation will be laid on harmonising and connecting.