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- ItemSurvey: Open Science in Higher Education(Zenodo, 2017) Heck, Tamara; Blümel, Ina; Heller, Lambert; Mazarakis, Athanasios; Peters, Isabella; Scherp, Ansgar; Weisel, LuzianBased on a checklist that was developed during a workshop at OER Camp 2016 and presented as a Science 2.0 conference 2016 poster [1], we conducted an online survey among university teachers representing a sufficient variety of subjects. The survey was online from Feb 6th to March 3rd 2017. We got 360 responses, whereof 210 were completes, see raw data [2]. The poster is presented at Open Science Conference, 21.-22.3.2017, Berlin.
- 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.
- ItemFAQs zu rechtlichen Aspekten im Umgang mit Forschungsdaten(Zenodo, 2018) Leibniz Universität Hannover; Technische Informationsbibliothek (TIB)In diesem Merkblatt sind häufige Fragen von Forschenden sowie Antworten von Juristinnen und Juristen der Leibniz Universität Hannover und der Technischen Informationsbibliothek zu rechtlichen Aspekten im Umgang mit Forschungsdaten zusammengestellt. Ein Großteil der Informationen sollte auch auf andere Forschungseinrichtungen übertragbar sein.
- ItemForschungsevaluation und Visualisierung von Zitationsnetzwerken(Zenodo, 2018) Hauschke, Christian; Fraumann, GrischaVortrag beim 2. LOC-DB-Workshop 2018 in Mannheim
- ItemDiscovery and efficient reuse of technology pictures using Wikimedia infrastructures. A proposal(Zenodo, 2016) Heller, Lambert; Blümel, Ina; Cartellieri, Simone; Wartena, ChristianMultimedia objects, especially images and figures, are essential for the visualization and interpretation of research findings. The distribution and reuse of these scientific objects is significantly improved under open access conditions, for instance in Wikipedia articles, in research literature, as well as in education and knowledge dissemination, where licensing of images often represents a serious barrier. Whereas scientific publications are retrievable through library portals or other online search services due to standardized indices there is no targeted retrieval and access to the accompanying images and figures yet. Consequently there is a great demand to develop standardized indexing methods for these multimedia open access objects in order to improve the accessibility to this material. With our proposal, we hope to serve a broad audience which looks up a scientific or technical term in a web search portal first. Until now, this audience has little chance to find an openly accessible and reusable image narrowly matching their search term on first try - frustratingly so, even if there is in fact such an image included in some open access article.
- ItemResearch information systems at universities and research institutions - Position Paper of DINI AG FIS(Zenodo, 2015) Ebert, Barbara; Tobias, Regine; Beucke, Daniel; Bliemeister, Andreas; Friedrichsen, Eiken; Heller, Lambert; Herwig, Sebastian; Jahn, Najko; Kreysing, Matthias; Müller, Daniel; Riechert, MathiasThis is the English translation of a position paper published by the German DINI Working Group on Research Information Systems (DINI AG FIS) in 2015. Reporting has become a regular part of science at every level. Researchers are required to report to external funding organisations and sponsors. Management needs an overview of the multitude of research information available in order to be able to make sound decisions and compete successfully for equipment and funding. Public accountability, particularly in terms of financing, has also grown in importance over time. At the same time, universities and research institutions still face major problems when it comes to providing information on research performance. The causes of these problems are often very similar at each institution – distributed data storage without any interfaces, management systems that fail to map research contexts, and limited usability of existing systems when it comes to carrying out differentiated analyses: Specialist and funding databases are managed independently of one another, interfaces and exchange formats simply do not exist, and standardisation options are seldom used when developing such systems. The development of financeable and functional research information systems and, above all, the exchange of existing information are of equal importance as campus management or suitable HR and finance systems when it comes to IT development in scientific institutions. It is difficult to imagine institutions being able to manage processes requiring manual input and annual data requests in the long term. Reporting requirements are also likely to increase over time. This position paper describes specific strategic steps that need to be taken in order to develop long-term research reporting information management processes in German research insttutions. Common standards need to be agreed on as they are a prerequisite both for reducing the considerable amount of work required to run systems and for enabling mobile researchers to transfer their portfolio to various applications and different research institutions. The working group also devised specific practical tips on designing, choosing, introducing and running a system as well as advice with regard to project management. These tips and advice are aimed at institutions wishing to introduce or develop a research information system.
- ItemVIVO - eine Einführung(Zenodo, 2018) Hauschke, Christian; Walther, TatianaFür Neueinsteiger werden die wichtigsten Funktionalitäten von VIVO vorgestellt und können in einem bereitgestellten Demo-System von den TeilnehmerInnen auch selbst ausprobiert werden.
- ItemTowards an Open Research Knowledge Graph(Zenodo, 2018) Auer, Sören; Blümel, Ina; Ewerth, Ralph; Garatzogianni, Alexandra; Heller,, Lambert; Hoppe, Anett; Kasprzik, Anna; Koepler, Oliver; Nejdl, Wolfgang; Plank, Margret; Sens, Irina; Stocker, Markus; Tullney, Marco; Vidal, Maria-Esther; van Wezenbeek, WilmaThe document-oriented workflows in science have reached (or already exceeded) the limits of adequacy as highlighted for example by recent discussions on the increasing proliferation of scientific literature and the reproducibility crisis. Despite an improved and digital access to scientific publications in the last decades, the exchange of scholarly knowledge continues to be primarily document-based: Researchers produce essays and articles that are made available in online and offline publication media as roughly granular text documents. With current developments in areas such as knowledge representation, semantic search, human-machine interaction, natural language processing, and artificial intelligence, it is possible to completely rethink this dominant paradigm of document-centered knowledge exchange and transform it into knowledge-based information flows by representing and expressing knowledge through semantically rich, interlinked knowledge graphs. The core of the establishment of knowledge-based information flows is the distributed, decentralized, collaborative creation and evolution of information models, vocabularies, ontologies, and knowledge graphs for the establishment of a common understanding of data and information between the various stakeholders as well as the integration of these technologies into the infrastructure and processes of search and knowledge exchange in the research library of the future. By integrating these information models into existing and new research infrastructure services, the information structures that are currently still implicit and deeply hidden in documents can be made explicit and directly usable. This revolutionizes scientific work because information and research results can be seamlessly interlinked with each other and better mapped to complex information needs. As a result, scientific work becomes more effective and efficient, since results become directly comparable and easier to reuse. In order to realize the vision of knowledge-based information flows in scholarly communication, comprehensive long-term technological infrastructure development and accompanying research are required. To secure information sovereignty, it is also of paramount importance to science – and urgency to science policymakers – that scientific infrastructures establish an open counterweight to emerging commercial developments in this area. The aim of this position paper is to facilitate the discussion on requirements, design decisions and a minimum viable product for an Open Research Knowledge Graph infrastructure. TIB aims to start developing this infrastructure in an open collaboration with interested partner organizations and individuals.
- ItemMicro archives as rich digital object representations(Zenodo, 2018) Holzmann, Helge; Runnwerth, MilaDigital objects as well as real-world entities are commonly referred to in literature or on the Web by mentioning their name, linking to their website or citing unique identifiers, such as DOI and ORCID, which are backed by a set of meta information. All of these methods have severe disadvantages and are not always suitable though: They are not very precise, not guaranteed to be persistent or mean a big additional effort for the author, who needs to collect the metadata to describe the reference accurately. Especially for complex, evolving entities and objects like software, pre-defined metadata schemas are often not expressive enough to capture its temporal state comprehensively. We found in previous work that a lot of meaningful information about software, such as a description, rich metadata, its documentation and source code, is usually available online. However, all of this needs to be preserved coherently in order to constitute a rich digital representation of the entity. We show that this is currently not the case, as only 10% of the studied blog posts and roughly 30% of the analyzed software websites are archived completely, i.e., all linked resources are captured as well. Therefore, we propose Micro Archives as rich digital object representations, which semantically and logically connect archived resources and ensure a coherent state. With Micrawler we present a modular solution to create, cite and analyze such Micro Archives. In this paper, we show the need for this approach as well as discuss opportunities and implications for various applications also beyond scholarly writing.
- ItemErste Ergebnisse des DFG-geförderten Projekts NOA – Nachnutzung von Open-Access-Abbildungen(Zenodo, 2017) Sohmen, LuciaAbbildungen haben für die Visualisierung und das Verständnis von Forschungsergebnissen heute eine überragende Bedeutung. Open Access vervielfacht das Potenzial der Nachnutzung solcher Abbildungen, zum Beispiel in der Wikipedia, aber auch in der Forschungsliteratur, sowie in Materialien zur Lehre und Wissensvermittlung, wie digitalen Präsentationsfolien oder Unterrichtsblättern, für die eine Lizensierung von Bildmaterial oft eine Barriere darstellt. Während wissenschaftliche Publikationen durch standardisierte Indizes über Suchmaschinen und in bibliothekarischen Rechercheportalen gefunden und nachgenutzt werden können, fehlt ein vergleichbarer gezielter Zugriff auf die darin enthaltenen oder sie begleitenden Abbildungen. Daher besteht ein Bedarf nach Verfahren zur Sammlung und Erschließung solcher Abbildungen. In unserem Vortrag wollen wir die ersten sichtbaren Ergebnisse des DFG-geförderten Projekts NOA – Nachnutzung von Open-Access-Abbildungen vorstellen. Ziel des Projekts ist es, basierend auf der Infrastruktur von Wikimedia Commons und Wikidata, ein Verfahren zur automatischen Sammlung (Harvesting), Erschließung und Bereitstellung von ingenieurwissenschaftlichen Abbildungen aus einigen qualitätsgesicherten Open-Access-Journals zu entwickeln und als Index sowie Suchservice verfügbar zu machen. Arbeitspakete umfassen das Harvesting von Open-Access-Artikeln, die Aufbereitung und Erschließung des Textes sowie ggf. enthaltener Abbildungen.