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End date: 2019 × Start date: 2019 × DDC: 550 × WGL Institute: TIB ×

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Now showing 1 - 8 of 8
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    Access and preservation of digital research content: Linked open data services - A research library perspective
    (München : European Geosciences Union, 2016) Kraft, Angelina; Sens, Irina; Löwe, Peter; Dreyer, Britta
    [no abstract available]
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    Data Science: History repeated? – The heritage of the Free and Open Source GIS community
    (München : European Geosciences Union, 2014) Löwe, Peter; Neteler, Markus
    [no abstract available]
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    Towards OSGeo best practices for scientific software citation: Integration options for persistent identifiers in OSGeo project repositories
    (Genf : Zenodo, 2017) Löwe, Peter Heinz; Neteler, Markus; Goebel, Jan; Tullney, Marco
    As a contribution to the currently ongoing larger effort to establish Open Science as best practices in academia, this article focuses on the Open Source and Open Access tiers of the Open Science triad and community software projects. The current situation of research software development and the need to recognize it as a significant contribution to science is introduced in relation to Open Science. The adoption of the Open Science paradigms occurs at different speeds and on different levels within the various fields of science and crosscutting software communities. This is paralleled by the emerging of an underlying futuresafe technical infrastructure based on open standards to enable proper recognition for published articles, data, and software. Currently the number of journal publications about research software remains low in comparison to the amount of research code published on various software repositories in the WWW. Because common standards for the citation of software projects (containers) and versions of software are lacking, the FORCE11 group and the CodeMeta project recommending to establish Persistent Identifiers (PIDs), together with suitable metadata setss to reliably cite research software. This approach is compared to the best practices implemented by the OSGeo Foundation for geospatial community software projects. For GRASS GIS, a OSGeo project and one of the oldest geospatial open source community projects, the external requirements for DOI-based software citation are compared with the projects software documentation standards. Based on this status assessment, application scenarios are derived, how OSGeo projects can approach DOI-based software citation, both as a standalone option and also as a means to foster open access journal publications as part of reproducible Open Science.
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    GRASS GIS, Star Trek and old Video Tape
    (Delaware : Open Source Geospatial Foundation, 2015) Löwe, Peter Heinz; Neumann, Janna; Plank, Margret; Ziedorn, Frauke; Lazar, Robert; Westervelt, James; Inman, Roger
    This paper discusses the need for the preservation of audiovisual content in the OSGeo communities beyond the established software repositories. Audiovisual content related to OSGeo projects such as training videos can be preserved by multimedia archiving and retrieval services which are currently developed by the library community. This is demonstrated by the reference case of a newly discovered version of the GRASS GIS 1987 promotional video which is being included into the AV-portal of the German National Library of Science and Technology (TIB). Access to the video will be provided upon the release of the web-based portal, allowing for extended search capabilities based on enhanced metadata derived by automated video analysis. This is a reference case for future preservation activities regarding semanticenhanced Web2.0 content from OSGeo projects
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    The RADAR Project - A Service for Research Data Archival and Publication
    (Basel : MDPI, 2016) Kraft, Angelina; Razum, Matthias; Potthoff, Jan; Porzel, Andrea; Engel, Thomas; Lange, Frank; van den Broek, Karina; Furtado, Filipe
    The aim of the RADAR (Research Data Repository) project is to set up and establish an infrastructure that facilitates research data management: the infrastructure will allow researchers to store, manage, annotate, cite, curate, search and find scientific data in a digital platform available at any time that can be used by multiple (specialized) disciplines. While appropriate and innovative preservation strategies and systems are in place for the big data communities (e.g., environmental sciences, space, and climate), the stewardship for many other disciplines, often called the “long tail research domains”, is uncertain. Funded by the German Research Foundation (DFG), the RADAR collaboration project develops a service oriented infrastructure for the preservation, publication and traceability of (independent) research data. The key aspect of RADAR is the implementation of a two-stage business model for data preservation and publication: clients may preserve research results for up to 15 years and assign well-graded access rights, or to publish data with a DOI assignment for an unlimited period of time. Potential clients include libraries, research institutions, publishers and open platforms that desire an adaptable digital infrastructure to archive and publish data according to their institutional requirements and workflows.
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    Videos for science communication and nature interpretation: The TIB|AV-Portal as resource
    (München : European Geosciences Union, 2016) Marín Arraiza, Paloma; Plank, Margret; Löwe, Peter
    [no abstract available]
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    Tectonic Storytelling with Open Source and Digital Object Identifiers - a case study about Plate Tectonics and the Geopark Bergstraße-Odenwald
    (München : European Geosciences Union, 2014) Löwe, Peter; Barmuta, Jan; Klump, Jens; Neumann, Janna; Plank, Margret
    [no abstract available]
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    Acquisition of audiovisual Scientific Technical Information from OSGeo by TIB Hannover: A work in progress report
    (Delaware : Open Source Geospatial Foundation, 2015) Löwe, Peter; Plank, Margret; Marín-Arraiza, Paloma
    This paper gives a work in progress report on the application of the TIB|AV Portal for audiovisual OSGeo content. The portal is a web-based platform for audiovisual media combining state-of-the art multimedia analysis with semantic based analysis, and retrieval. It meets the requirements by special libraries for reliable long term preservation, scientific citation via persistent identifiers, and applies metadata enhancement to enable innovative services for search and retrieval.