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search.filters.applied.f.access: openAccess × End date: 2019 × Start date: 2014 × Type: Report × WGL Institute: TIB ×

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    An Empirical Study on 3D Artefacts in the Scientific Life Cycle
    (Hannover : Technische Informationsbibliothek, 2018) Struß, J.M.
    3D models, objects and data are being used in an increasing number of scientific disciplines throughout different points in the research life cycle. In addition to architecture, civil engineering and mechanical engineering – disciplines that traditionally plan and construct in three-dimensional space – they are also used in the fields of electrical engineering and information technology, physics and astronomy as well as in the conservation of cultural heritage. The types of models used differ considerably in the different disciplines. In addition to CAD models, there are for example formats such as point clouds resulting from laser scans, which are used to capture buildings or landscapes. In addition, there are simulations in which the temporal dimension also plays a role. Furthermore printable 3D models that allow the direct generation of a physical object are increasingly being created. The study presented here takes a closer look at the diversity of 3D artefacts, the point of their creation in the research lifecycle as well as the purpose these artefacts serve.
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    FAQs 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.
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    D8.4 Dissemination Master Plan and Publicity Material V2 ; DURAARK - Durable Architectural Knowledge ; FP7 - ICT - Digital Preservation
    (2014) Hecher, Martin; Beetz, Jakob; Ochmann, Sebastian; Lindlar, Michelle; Tamke, Martin; Edvardsen, Dag Fjeld; Dietze, Stefan; Jonsson, Östen
    This deliverable (D8.4 Dissemination Master Plan and Publicity Material V2) is an update of D8.2. In order to keep it highly informative, those parts which have already been described in detail in D8.2 are presented in condensed form in this deliverable. The document covers the dissemination plan for the entire remaining period of the DURAARK project. Since this means a forecast for the next two years, not all plans can be presented in a detailed form, as for example dates and agendas for conferences during 2015 are in many cases not published yet. The DURAARK project covers many areas such as digital preservation, semantic enrichment and the comparison of as-planned and as-built state of architectural structures. The outcomes of each area have, so far, mainly been disseminated one by one through subject-specific channels. In the remaining project period these dissemination activities will be complemented by joint consortium activities, where all main outcomes of the project will be presented and discussed at joint events. Special attention has been put on DURAARK´s potential for contribution to standardization. Amongst other efforts this includes the envisaged extension of an IFC file format towards the IFC/A standard, which will provide vast possibilities of semantic enrichment as well as support for efficient 3D point cloud storage. Our assessment is furthermore that DURAARK can substantially contribute towards the development of standard procedures for the preservation of 3D architectural objects.
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    D2.2.3 System Architecture & Specification v2.0 ; DURAARK - Durable Architectural Knowledge ; FP7 - ICT - Digital Preservation
    (2014) Beetz, Jakob; Berndt, René; Dietze, Stefan; Edvardsen, Dag Fjeld; Gadiraju, Ujwal; Lindlar, Michelle; Ochmann, Sebastian; Tamke, Martin; Vock, Richard
    This deliverable presents the second iteration on the system architecture of the DURAARK framework. It describes the philosophy, decisions, constraints, justifications, significant elements, and any other overarching aspects of the system that shape the design and implementation. It complements and refines the deliverable D2.2.2 System Architecture & Specification v1.0 from month 6.
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    Entwicklung eines Verfahrens zur automatischen Sammlung, Erschließung und Bereitstellung multimedialer Open-Access-Objekte mittels der Infrastruktur von Wikimedia Commons und Wikidata
    (Zenodo, 2014) Blümel, Ina; Cartellieri, Simone; Heller, Lambert; Wartena, Christian
    [no abstract available]
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    - Entwurf - Datenpublikation – Workflows für die Archivierung und Publikation wissenschaftlicher Forschungsdaten in RADAR
    (RADAR-Projektteam, 2014) Engel, Thomas; Furtado, Filipe; Hahn, Matthias; Kraft, Angelina; Martens, Jörn; Neumann, Janna; Porzel, Andrea; Potthoff, Jan; Ziedorn, Frauke
    Um die Schritte zu einer nachhaltigen, zitierfähigen Datenpublikation in RADAR darzulegen wurden drei exemplarische Workflows entwickelt: • Workflow (A) - Wahl zwischen Angeboten: Archivierung oder Publikation • Workflow (B) - Varianten der Datenpublikation (direkt, mit Embargo, Verlagsanbindung mit Artikel-Review) • Workflow (C) - Übergang Archivierung - Datenpublikation (optionale Ausbaustufe für 2015/16) Workflows A und B stellen in kompakter, graphischer Form die Grundfunktionen von RADAR dem zweistufigen Dienstleistungsmodell dar und sollen die Kunden bei der Wahl der passenden Angebotsstufe, Archivierung oder Archivierung mit integrierter Datenpublikation, unterstützen. Workflow C stellt den Übergang zwischen beiden Angebotsstufen dar, bei denen der Kunde bereits archivierte Daten in wenigen Arbeitsschritten unverändert auf die Ebene der Publikation überführen kann. Die Implementierung dieses Übergangs ist im Anschluss an den Aufbau des RADAR-Grundfunktionen im dritten Projektjahr vorgesehen.
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    Towards 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, Wilma
    The 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.
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    D3.3.2 Ontological Framework for a Semantic Digital Archive ; DURAARK - Durable Architectural Knowledge ; FP7 - ICT - Digital Preservation
    (2014) Beetz, Jakob; Lindlar, Michelle; Dietze, Stefan; Gadiraju, Ujwal; Edvardsen, Dag Field
    In this deliverable, a framework for a Semantic Digital Archive (SDA) for buildings and their components is suggested and described: The organizational framework for the Semantic Digital Archive as well as its methodological and technological enablers are outlined and specified. Conceptual approaches for the creation, maintenance and use of mappings between the building-specific Industry Foundation Classes (IFC) schematic and instance models with established datasets and vocabularies (e.g. the ones offered by the Linked Open Data cloud) are provided. It is shown how such mappings can be used to semantically enrich Building Information Model instances and how such enrichments can be preserved independently of the continuous evolvement of the referenced data sets. In order to track such changes in external data sets and reduce the amount of storage needed in the SDA, the concept of a Semantic Digital Observatory (SDO) is introduced and discussed. Using concrete data sets with a high relevance for the building industry, and in particular the reference vocabulary of then bSDD examples are provided that demonstrate the mechanisms introduced here. During future activities of the DURAARK project, the conceptual approaches introduced here are implemented in software prototypes as a proof of concept solution for the long-term preservation of semantically enriched Building Information Models.
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    Research 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, Mathias
    This 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.