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- ItemPersistent 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.
- ItemA short guide to increase FAIRness of atmospheric model data(Stuttgart : E. Schweizerbart Science Publishers, 2020) Ganske, Anette; Heydebreck, Daniel; Höck, Daniel; Kraft, Angelina; Quaas, Johannes; Kaiser, AmandineThe generation, processing and analysis of atmospheric model data are expensive, as atmospheric model runs are often computationally intensive and the costs of ‘fast’ disk space are rising. Moreover, atmospheric models are mostly developed by groups of scientists over many years and therefore only few appropriate models exist for specific analyses, e.g. for urban climate. Hence, atmospheric model data should be made available for reuse by scientists, the public sector, companies and other stakeholders. Thereby, this leads to an increasing need for swift, user-friendly adaptation of standards.The FAIR data principles (Findable, Accessible, Interoperable, Reusable) were established to foster the reuse of data. Research data become findable and accessible if they are published in public repositories with general metadata and Persistent Identifiers (PIDs), e.g. DataCite DOIs. The use of PIDs should ensure that describing metadata is persistently available. Nevertheless, PIDs and basic metadata do not guarantee that the data are indeed interoperable and reusable without project-specific knowledge. Additionally, the lack of standardised machine-readable metadata reduces the FAIRness of data. Unfortunately, there are no common standards for non-climate models, e.g. for mesoscale models, available. This paper proposes a concept to improve the FAIRness of archived atmospheric model data. This concept was developed within the AtMoDat project (Atmospheric Model Data). The approach consists of several aspects, each of which is easy to implement: requirements for rich metadata with controlled vocabulary, the landing pages, file formats (netCDF) and the structure within the files. The landing pages are a core element of this concept as they should be human- and machine readable, hold discipline-specific metadata and present metadata on simulation and variable level. This guide is meant to help data producers and curators to prepare data for publication. Furthermore, this guide provides information for the choice of keywords, which supports data reusers in their search for data with search engines. © 2020 The authors
- ItemDigital research data: from analysis of existing standards to a scientific foundation for a modular metadata schema in nanosafety(London : BioMed Central, 2022) Elberskirch, Linda; Binder, Kunigunde; Riefler, Norbert; Sofranko, Adriana; Liebing, Julia; Minella, Christian Bonatto; Mädler, Lutz; Razum, Matthias; van Thriel, Christoph; Unfried, Klaus; Schins, Roel P. F.; Kraegeloh, AnnetteBackground: Assessing the safety of engineered nanomaterials (ENMs) is an interdisciplinary and complex process producing huge amounts of information and data. To make such data and metadata reusable for researchers, manufacturers, and regulatory authorities, there is an urgent need to record and provide this information in a structured, harmonized, and digitized way. Results: This study aimed to identify appropriate description standards and quality criteria for the special use in nanosafety. There are many existing standards and guidelines designed for collecting data and metadata, ranging from regulatory guidelines to specific databases. Most of them are incomplete or not specifically designed for ENM research. However, by merging the content of several existing standards and guidelines, a basic catalogue of descriptive information and quality criteria was generated. In an iterative process, our interdisciplinary team identified deficits and added missing information into a comprehensive schema. Subsequently, this overview was externally evaluated by a panel of experts during a workshop. This whole process resulted in a minimum information table (MIT), specifying necessary minimum information to be provided along with experimental results on effects of ENMs in the biological context in a flexible and modular manner. The MIT is divided into six modules: general information, material information, biological model information, exposure information, endpoint read out information and analysis and statistics. These modules are further partitioned into module subdivisions serving to include more detailed information. A comparison with existing ontologies, which also aim to electronically collect data and metadata on nanosafety studies, showed that the newly developed MIT exhibits a higher level of detail compared to those existing schemas, making it more usable to prevent gaps in the communication of information. Conclusion: Implementing the requirements of the MIT into e.g., electronic lab notebooks (ELNs) would make the collection of all necessary data and metadata a daily routine and thereby would improve the reproducibility and reusability of experiments. Furthermore, this approach is particularly beneficial regarding the rapidly expanding developments and applications of novel non-animal alternative testing methods.
- ItemPersistent Identification Of Instruments(Ithaka : Cornell University, 2020) Stocker, Markus; Darroch, Louise; Krahl, Rolf; Habermann, Ted; Devaraju, Anusuriya; Schwardmann, Ulrich; D'Onofrio, Claudio; Häggström, IngemarInstruments 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.
- ItemA remote-control datalogger for large-scale resistivity surveys and robust processing of its signals using a software lock-in approach(Göttingen : Copernicus Publ., 2018) Oppermann, Frank; Günther, ThomasWe present a new versatile datalogger that can be used for a wide range of possible applications in geosciences. It is adjustable in signal strength and sampling frequency, battery saving and can remotely be controlled over a Global System for Mobile Communication (GSM) connection so that it saves running costs, particularly in monitoring experiments. The internet connection allows for checking functionality, controlling schedules and optimizing pre-amplification. We mainly use it for large-scale electrical resistivity tomography (ERT), where it independently registers voltage time series on three channels, while a square-wave current is injected. For the analysis of this time series we present a new approach that is based on the lock-in (LI) method, mainly known from electronic circuits. The method searches the working point (phase) using three different functions based on a mask signal, and determines the amplitude using a direct current (DC) correlation function. We use synthetic data with different types of noise to compare the new method with existing approaches, i.e. selective stacking and a modified fast Fourier transformation (FFT)-based approach that assumes a 1∕f noise characteristics. All methods give comparable results, but the LI is better than the well-established stacking method. The FFT approach can be even better but only if the noise strictly follows the assumed characteristics. If overshoots are present in the data, which is typical in the field, FFT performs worse even with good data, which is why we conclude that the new LI approach is the most robust solution. This is also proved by a field data set from a long 2-D ERT profile.
- ItemErster TIB DOI Konsortium online Workshop - DataCite Metadaten Schema 4.4(Hannover : Technische Informationsbibliothek, PID Competence Center, 2021-05-03) Taller, Nelli; Burger, Felix; Dreyer, BrittaFolien für den virtuellen Workshop "Erster TIB DOI Konsortium online Workshop - DataCite Metadaten Schema 4.4".
- ItemFrühlings TIB DOI Konsortium online Workshop - Best Practices Empfehlungen zum DOI-Metadatenfeld relatedIdentifier(Hannover : Technische Informationsbibliothek, PID Competence Center, 2022-05-12) Taller, Nelli; Burger, FelixFolien für den virtuellen Workshop "Frühlings TIB DOI Konsortium online Workshop - Best Practices Empfehlungen zum DOI-Metadatenfeld relatedIdentifier".
- ItemD3.3.1 Metadata schema extension for archival systems ; DURAARK - Durable Architectural Knowledge ; FP7 - ICT - Digital Preservation(2014) Beetz, Jakob; Lindlar, Michelle; Dietze, Stefan; Gadiraju, Ujwal; Long, QinqinIn 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.
- ItemIsn'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, AndreasIn 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.
- ItemDiscussion 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, KlausThe 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.