2019, Dreyer, Britta, Hagemann-Wilholt, Stephanie, Vierkant, Paul, Strecker, Dorothea, Glagla-Dietz, Stephanie, Summann, Friedrich, Pampel, Heinz, Burger, Marleen

ORCID’s services such as the unambiguous linking of researchers and their research output form the basis of modern scholarly communication. The ORCID Germany Consortium offers a reduced ORCID premium membership fee and supports its members during ORCID integration. Services include a dialogue platform that provides German-language information and additional support services. Another major success factor is an all-encompassing communication strategy: members of the ORCID implementation can resort to established organizational communication channels. Together and with the support of the ORCID DE project they contribute significantly to the successful distribution of ORCID in Germany.

2018, Stocker, Markus, Paasonen, Pauli, Fiebig, Markus, Zaidan, Martha A., Hardisty, Alex

Interpreting observational data is a fundamental task in the sciences, specifically in earth and environmental science where observational data are increasingly acquired, curated, and published systematically by environmental research infrastructures. Typically subject to substantial processing, observational data are used by research communities, their research groups and individual scientists, who interpret such primary data for their meaning in the context of research investigations. The result of interpretation is information—meaningful secondary or derived data—about the observed environment. Research infrastructures and research communities are thus essential to evolving uninterpreted observational data to information. In digital form, the classical bearer of information are the commonly known “(elaborated) data products,” for instance maps. In such form, meaning is generally implicit e.g., in map colour coding, and thus largely inaccessible to machines. The systematic acquisition, curation, possible publishing and further processing of information gained in observational data interpretation—as machine readable data and their machine readable meaning—is not common practice among environmental research infrastructures. For a use case in aerosol science, we elucidate these problems and present a Jupyter based prototype infrastructure that exploits a machine learning approach to interpretation and could support a research community in interpreting observational data and, more importantly, in curating and further using resulting information about a studied natural phenomenon.

2017, Mensing, Petra

Von 1905 bis zu seinem Lebensende 1946 stellte der Musiklehrer und Botaniker Karl Hahn eine umfangreiche Sammlung der Mecklenburger Flora insbesondere der Moose in der Umgebung von Neukloster und Grabow zusammen. Neben den noch vorhandenen Belegen hat er diverse Veröffentlichungen im Archiv der Freunde der Naturgeschichte in Mecklenburg hinterlassen, die neben der Beschreibung der einzelnen Funde auch Wanderbeschreibungen und Naturbeobachtungen thematisierten. In diesem Beitrag werden alle von ihm als „Neu für Mecklenburg“ bezeichneten Moosarten erstmals in einer Veröffentlichung zusammengetragen sowie Anregungen für zukünftige Arbeiten gegeben.

2017, Heller, Lambert

[no abstract available]

2017, Kraft, Angelina, Dreyer, Britta, Löwe, Peter, Ziedorn, Frauke

In an ideal research world, any scientific content should be citable and the coherent content, as well as the citation itself, should be persistent. However, today’s scientists do not only produce traditional research papers – they produce comprehensive digital resources and collections. TIB’s mission is to develop a supportive framework for a sustainable access to such digital content – focusing on areas of engineering as well as architecture, chemistry, information technology, mathematics and physics. The term digital content comprises all digitally available resources such as audiovisual media, databases, texts, images, spreadsheets, digital lab journals, multimedia, 3D objects, statistics and software code. In executing this mission, TIB provides services for the management of digital content during ongoing and for finished research. This includes: • a technical and administrative infrastructure for indexing, cataloguing, DOI registration and licensing for text and digital objects, namely the TIB DOI registration which is active since 2005, • the administration of the ORCID DE consortium, an institutional network fostering the adoption of ORCID across academic institutions in Germany, • training and consultancy for data management, complemented with a digital repository for the deposition and provision of accessible, traceable and citable research data (RADAR), • a Research and Development Department where innovative projects focus on the visualization and the sustainable access to digital information, and • the development of a supportive framework within the German research data community which accompanies the life cycle of scientific knowledge generation and transfer. Its goal is to harmonize (meta)data display and exchange primarily on a national level (LEIBNIZ DATA project).

2018, Neumann, Janna

Das Thema Forschungsdatenmanagement (FDM) wurde an der Leibniz Universität Hannover im Sommer 2014 offiziell durch das Präsidium der Universität mit dem Auftrag einer Konzeptentwicklung zum Umgang mit Forschungsdaten in Angriff genommen. Der Entwurf wurde von einem einrichtungsübergreifendem Team, bestehend aus Vertretern des Dezernates für Forschung, des Rechenzentrums und der Technischen Informationsbibliothek entwickelt. Er enthält Bausteine zur Erarbeitung einer Richtlinie und einer technischen Infrastruktur und beschreibt zudem den Aufbau von Beratungsund Schulungsangeboten für Forschende der Leibniz Universität Hannover. Seit Ende 2016 befindet sich die erarbeitete und vom Präsidium verabschiedete Gesamtstrategie in der Umsetzung.