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- ItemQuo vadis, VIVO? Stand und Entwicklung(Zenodo, 2017) Hauschke, ChristianVortrag mit den Highlights der VIVO-Conference 2017, einem Überblick über VIVO 1.10 und einem Ausblick auf die VIVO-Aktivitäten der TIB.
- ItemOpen-Access-Publikationsfonds der Leibniz-Gemeinschaft – Zentraler Fonds für eine dezentrale Forschungsorganisation(Zenodo, 2016) Tullney, Marco; Eppelin, Anita[no abstract available]
- ItemUmsetzung des KDSF-Datenmodells in VIVO(Zenodo, 2017) Walther, Tatiana; Hauschke, ChristianIm Rahmen des Projekts „Umsetzung Kerndatensatz Forschung in VIVO“ wird am Open Science Lab der Technischen Informationsbibliothek Hannover (TIB) der Versuch unternommen, den Kerndatensatz Forschung in das Forschungsinformationssystem VIVO zu integrieren. Entwurf KDSF-VIVO-Alignment und KDSF-VIVO-Extension: https://github.com/VIVO-DE/VIVO-KDSF-Integration
- ItemDo researchers need to care about PID systems?(Zenodo, 2018) Kraft, Angelina; Dreyer, BrittaA survey across 1400 scientists in the natural sciences and engineering across Germany conducted in 2016 revealed that although more than 70 % of the researchers are using DOIs for journal publications, less than 10% use DOIs for research data. To the question of why they are not using DOIs more than half (56%) answered that they don’t know about the option to use DOIs for other publications (datasets, conference papers etc.) Therefore it is not surprising that the majority (57 %) stated that they had no need for DOI counselling services. 40% of the questioned researchers need more information and almost 30% cannot see a benefit. Publishers have been using PID systems for articles for years, and the DOI registration and citation are a natural part of the standard publication workflow. With the new digital age, the possibilities to publishing digital research objects beyond articles are bigger than ever – but the respective infrastructure providers are still struggling to provide integrated PID services. Infrastructure providers need to learn from publishers and offer integrated PID services, complementing existing workflows, using researcher’s vocabulary to support usability and promotion. Sell the benefit and enable researchers to focus on what they are best at: Do research (and not worry about the rest)!
- ItemDas FOSTER Open Science Training Handbuch(Zenodo, 2018) Brinken, Helene; Hellert, LambertDas Open Science Training Handbuch wurde im Februar 2018 während eines Book Sprints entwickelt und geschrieben. Das Handbuch richtet sich an Personen, die selbst Trainings und Workshops zum Thema Open Science organisieren möchten. Die TIB Hannover und das EU-geförderte Projekt FOSTER Plus brachten 14 Open Science ExpertInnen aus zehn Ländern zusammen, um eine OER zu erstellen, die die Open Science Trainer-Community unterstützt. Während des fünftägigen Workshops diskutierten und sammelten die AutorInnen ihre Erfahrungen und verfassten kollaborativ ein praxisnahes Buch mit über 200 Seiten. Die OER ist unter der Creative Commons Public Domain Dedication (CC0 1.0 Universal) lizenziert und ermöglicht damit eine uneingeschränkte Nachnutzung. Das Buch ist unter https://book.fosteropenscience.eu als Gitbook verfügbar, und wird fortlaufend kommentiert, ergänzt und aktualisiert.
- ItemORCID Deutschland Konsortium(Zenodo, 2016) Dreyer, BrittaPresentation at the 1. ORCID DE Outreach Workshop. Potsdam, Germany, October 25, 2016.
- ItemOpen Library Badge. Ein Anreizsystem für mehr Offenheit in Bibliotheken(Zenodo, 2016) Heller, Lambert; Langhanke, Gerald; Lohmeier, Felix; Katzer, Anton; Stöhr, Matti; Voigt, Michaela[no abstract available]
- ItemA PDF Test-Set for Well-Formedness Validation in JHOVE - The Good, the Bad and the Ugly(Zenodo, 2017) Lindlar, Michelle; Tunnat, Yvonne; Wilson, CarlDigital preservation and active software stewardship are both cyclical processes. While digital preservation strategies have to be reevaluated regularly to ensure that they still meet technological and organizational requirements, software needs to be tested with every new release to ensure that it functions correctly. JHOVE is an open source format validation tool which plays a central role in many digital preservation workflows and the PDF module is one of its most important features. Unlike tools such as Adobe PreFlight or veraPDF which check against requirements at profile level, JHOVE’s PDF-module is the only tool that can validate the syntax and structure of PDF files. Despite JHOVE’s widespread and long-standing adoption, the underlying validation rules are not formally or thoroughly tested, leading to bugs going undetected for a long time. Furthermore, there is no ground-truth data set which can be used to understand and test PDF validation at the structural level. The authors present a corpus of light-weight files designed to test the validation criteria of JHOVE’s PDF module against “well-formedness”. We conclude by measuring the code coverage of the test corpus within JHOVE PDF validation and by feeding detected inconsistencies of the PDF-module back into the open source development process.
- ItemVIVO-DE-Extension und VIVO-KDSF – Ontologien für den deutschsprachigen Raum(Zenodo, 2017) Kasprzik, AnnaDer Aufbau einer deutschsprachigen Version der Fachinformationssystem-Software VIVO ist nicht so einfach, da sich auf allen Ebenen des Systems sprachspezifische Elemente finden -- von der Anzeige bis hin zu den enthaltenen Ontologien -- und da eine direkte Übersetzung aufgrund kultureller Unterschiede in den Wissenschaftslandschaften oft nicht möglich ist. In dieser Präsentation werden die entsprechenden Aktivitäten der deutschsprachigen VIVO-Community vorgestellt und es wird zur Beteiligung aufgerufen.
- ItemSemantic modelling of video annotations – the TIB AV-Portal's metadata structure(Zenodo, 2018) Saurbier, FelixThe TIB AV-Portal (https://av.tib.eu) is an online platform for sharing scientific videos operated by the German National Library of Science and Technology (TIB). Besides the allocation of Digital Object Identifiers (DOI) and Media Fragment Identifiers (MFID) for video citation, long-term preservation of all material and open licenses like Creative Commons, the core feature of the TIB AV-Portal are its various methods of automated metadata extraction to fundamentally improve search functionalities (e.g. fine-grained search and faceting). These comprise of an automated chaptering, extraction of superimposed text, speech to text recognition, and the detection of predefined visual concepts. In addition, extracted metadata are consequently mapped against authority files like the German “Gemeinsame Normdatei” and knowledge bases like DBpedia and Library of Congress Subject Headings via a process of automated named entity linking (NEL) to enable semantic and cross-lingual search. The results of this process are expressed as temporal and/or spatial video annotations, linking extracted metadata to certain key frames and video segments. In order to structure the data, express relations between single entities, and link to external information resources, several common vocabularies, ontologies and knowledge bases are being used. These include amongst others the Open Annotation Data Model, the NLP Interchange Format (NIF), BIBFRAME, the Friend of Friend Vocabulary (FOAF), and Schema.org. Furthermore, all data is stored adhering to the Resource Description Framework (RDF) data model and published as linked open data. This provides third parties with an interoperable and easy to reuse RDF graph representation of the AV-Portal’s metadata. On our poster we illustrate the general structure of the TIB AV-Portal’s comprehensive metadata both authoritative and extracted automatically. Here, the main focus is on the underlying video annotation graph model and on semantic interoperability and reusability of the data. In particular we visualize how the use of vocabularies, ontologies and knowledge bases allows for rich semantic descriptions of video materials as well as for easy metadata publication, interlinking, and opportunities of reuse by third parties (e.g. for information retrieval and enrichment). In doing so, we present the AV-Portal’s metadata structure as an illustrative example for the complexity of modelling temporal and spatial video metadata and as a set of best practices in the field of audio-visual resources.