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Der Beitrag beschreibt die aktuellen Überlegungen zur Weiterentwicklung der informationswissenschaftlichen Studiengänge der Hochschule Hannover vor dem Hintergrund des laufenden Prozesses der Reakkreditierung. Zentrale Aspekte bilden hierbei die inhaltliche und strukturelle Weiterentwicklung des Curriculums vor dem Hintergrund der sich verändernden Bedürfnisse der Bibliotheken. Ebenfalls berücksichtigt werden verschiedene Formen der Kooperation mit der Bibliothekspraxis, hochschuldidaktische Überlegungen sowie die Einbindung der Studiengänge in die informationswissenschaftliche Forschungslandschaft.
Wikidata and Wikibase as complementary research data management services for cultural heritage data
(2022)
The NFDI (German National Research Data Infrastructure) consortia are associations of various institutions within a specific research field, which work together to develop common data infrastructures, guidelines, best practices and tools that conform to the principles of FAIR data. Within the NFDI, a common question is: What is the potential of Wikidata to be used as an application for science and research? In this paper, we address this question by tracing current research usecases and applications for Wikidata, its relation to standalone Wikibase instances, and how the two can function as complementary services to meet a range of research needs. This paper builds on lessons learned through the development of open data projects and software services within the Open Science Lab at TIB, Hannover, in the context of NFDI4Culture – the consortium including participants across the broad spectrum of the digital libraries, archives, and museums field, and the digital humanities.
The NOA project collects and stores images from open access publications and makes them findable and reusable. During the project a focus group workshop was held to determine whether the development is addressing researchers’ needs. This took place before the second half of the project so that the results could be considered for further development since addressing users’ needs is a big part of the project. The focus was to find out what content and functionality they expect from image repositories.
In a first step, participants were asked to fill out a survey about their images use. Secondly, they tested different use cases on the live system. The first finding is that users have a need for finding scholarly images but it is not a routine task and they often do not know any image repositories. This is another reason for repositories to become more open and reach users by integrating with other content providers. The second finding is that users paid attention to image licenses but struggled to find and interpret them while also being unsure how to cite images. In general, there is a high demand for reusing scholarly images but the existing infrastructure has room to improve.
In this poster we present the ongoing development of an integrated free and open source toolchain for semantic annotation of digitised cultural heritage. The toolchain development involves the specification of a common data model that aims to increase interoperability across diverse datasets and to enable new collaborative research approaches.
Research information, i.e., data about research projects, organisations, researchers or research outputs such as publications or patents, is spread across the web, usually residing in institutional and personal web pages or in semi-open databases and information systems. While there exists a wealth of unstructured information, structured data is limited and often exposed following proprietary or less-established schemas and interfaces. Therefore, a holistic and consistent view on research information across organisational and national boundaries is not feasible. On the other hand, web crawling and information extraction techniques have matured throughout the last decade, allowing for automated approaches of harvesting, extracting and consolidating research information into a more coherent knowledge graph. In this work, we give an overview of the current state of the art in research information sharing on the web and present initial ideas towards a more holistic approach for boot-strapping research information from available web sources.
This paper deals with new job profiles in libraries, mainly systems librarians (German: Systembibliothekare), IT librarians (German: IT-Bibliothekare) and data librarians (German: Datenbibliothekare). It investigates the vacancies and requirements of these positions in the German-speaking countries by analyzing one hundred and fifty published job advertisements of OpenBiblioJobs between 2012-2016. In addition, the distribution of positions, institutional bearers, different job titles as well as time limits, scope of work and remuneration of the positions are evaluated. The analysis of the remuneration in the public sector in Germany also provides information on demands for a bachelor's or master's degree.
The average annual increase in job vacancies between 2012 and 2016 is 14.19%, confirming the need and necessity of these professional library profiles.
The higher remuneration of the positions in data management, in comparison to the systems librarian, proves the prerequisite of the master's degree and thus indicates a desideratum due to missing or few master's degree courses. Accordingly, the range of bachelor's degree courses (or IT-oriented major areas of study with optional compulsory modules in existing bachelor's degree courses) for systems and IT librarians must be further expanded. An alternative could also be modular education programs for librarians and information scientists with professional experience, as it is already the case for music librarians.
Eine durch die Digitalisierung veränderte und auf Open Science ausgerichtete Wissenschaftspraxis benötigt angepasste Infrastrukturen und Services. Daraus ergeben sich verschiedene neue oder veränderte Aktionsfelder für wissenschaftliche Bibliotheken und Infrastruktureinrichtungen. Zu nennen sind zum Beispiel die nicht-textuellen Materialien wie Forschungsdaten, AV-Medien oder Software und die Umsetzung der FAIR-Prinzipien. Hinzu kommen neue Aufgaben im Bereich der Forschungsinformationen, zum Beispiel in der Unterstützung institutioneller Forschungsinformationssysteme, die Gestaltung von Open Access, die Unterstützung kollaborativen wissenschaftlichen Arbeitens sowie die Schaffung von offenen Infrastrukturen. In diesem Artikel werden diese Felder kurz vorgestellt und sich daraus abzeichnende Anforderungen an das bibliothekarische Berufsbild skizziert.
Digital data on tangible and intangible cultural assets is an essential part of daily life, communication and experience. It has a lasting influence on the perception of cultural identity as well as on the interactions between research, the cultural economy and society. Throughout the last three decades, many cultural heritage institutions have contributed a wealth of digital representations of cultural assets (2D digital reproductions of paintings, sheet music, 3D digital models of sculptures, monuments, rooms, buildings), audio-visual data (music, film, stage performances), and procedural research data such as encoding and annotation formats. The long-term preservation and FAIR availability of research data from the cultural heritage domain is fundamentally important, not only for future academic success in the humanities but also for the cultural identity of individuals and society as a whole. Up to now, no coordinated effort for professional research data management on a national level exists in Germany. NFDI4Culture aims to fill this gap and create a usercentered, research-driven infrastructure that will cover a broad range of research domains from musicology, art history and architecture to performance, theatre, film, and media studies.
The research landscape addressed by the consortium is characterized by strong institutional differentiation. Research units in the consortium's community of interest comprise university institutes, art colleges, academies, galleries, libraries, archives and museums. This diverse landscape is also characterized by an abundance of research objects, methodologies and a great potential for data-driven research. In a unique effort carried out by the applicant and co-applicants of this proposal and ten academic societies, this community is interconnected for the first time through a federated approach that is ideally suited to the needs of the participating researchers. To promote collaboration within the NFDI, to share knowledge and technology and to provide extensive support for its users have been the guiding principles of the consortium from the beginning and will be at the heart of all workflows and decision-making processes. Thanks to these principles, NFDI4Culture has gathered strong support ranging from individual researchers to highlevel cultural heritage organizations such as the UNESCO, the International Council of Museums, the Open Knowledge Foundation and Wikimedia. On this basis, NFDI4Culture will take innovative measures that promote a cultural change towards a more reflective and sustainable handling of research data and at the same time boost qualification and professionalization in data-driven research in the domain of cultural heritage. This will create a long-lasting impact on science, cultural economy and society as a whole.
Digitale 3D-Modelle der Architektur – z.B. Modelle von Gebäuden, Inneneinrichtungsgegenständen und Bauteilen – haben innerhalb der letzten fünf Jahrzehnte sowohl die analogen, auf Papier basierenden Zeichnungen als auch die physischen Modelle aus ihrer planungs-, ausführungs- und dokumentationsunterstützenden Rolle verdrängt. Als Herausforderungen bei der Integration von 3D-Modellen in digitale Bibliotheken und Archive sind zunächst die meist nur rudimentäre Annotation mit Metadaten seitens der Autoren und die nur implizit in den Modellen vorhandenen
Informationen zu nennen. Aus diesen Defiziten resultiert ein aktuell starkes Interesse an inhaltsbasierter Erschließung durch vernetzte Nutzergruppen oder durch automatisierte Verfahren, die z.B. aufgrund von Form- oder Strukturmerkmalen eine automatische Kategorisierung von 3D-Modellen anhand gegebener Schemata ermöglichen. Die teilweise automatische Erkennung von objektinhärenter Semantik vergrößert die Menge an diskreten und semantisch unterscheidbaren Einheiten. Darüber hinaus sind digitale 3D-Modelle zumeist hierarchisch aufgebaut; sie enthalten weitere komplexe Modelle, die wiederum in sich geschachtelt sein können und in einzelnen Fällen einen eigenständigen Nachweis als 3D-Modell wünschenswert machen. 3D-Modelle als Content im World Wide Web können sowohl untereinander als auch mit anderen textuellen wie nichttextuellen Objekten verknüpft werden, also Teil von aggregierten Dokumenten sein. Eine weitere Notwendigkeit ist die Vernetzung mit inhaltlich relevanten Ereignissen, Orten, Begriffen, Personen oder realen Objekten sowie die explizite Beschreibung der Relationen zwischen dem Modell selbst und diesen Entitäten seines spezifischen Kontextes. Die Aggregationen bzw. der Modellkontext sowie die inhärenten Entitäten erfordern Instrumente der Organisation, um dem Benutzer bei der Suche nach Informationen einen Mehrwert zu bieten, insbesondere dann, wenn textbasiert nach Informationen zum Modell und zu dessen Kontext gesucht wird. In der vorliegenden Arbeit wird ein Metadatenmodell zur gezielten Strukturierung von Information entwickelt, welche aus 3D-Architekturmodellen gewonnen wird. Mittels dieser Strukturierung kann das Modell mit weiterer Information vernetzt werden. Die Anwendung etablierter Ontologien sowie der Einsatz von URIs machen die Informationen nicht nur explizit, sondern beinhalten auch eine semantische Information über die Relation selbst, sodass eine Interoperabilität zu anderen verfügbaren Daten im Sinne der Grundprinzipien des Linked-Data-Ansatzes gewährleistet wird. Diese Herangehensweise hat im Gegensatz zu einem Ansatz, der Metadaten als Records auffasst, das Potenzial, Relationen zu jeglichen modellrelevanten Entitäten im Suchraum herzustellen und zugleich diese Relationen für weitere wissensbildende Prozesse verfügbar zu machen.
This paper aims to provide a structured overview of four open, participatory formats that are particularly applicable in inquiry-based teaching and learning contexts: hackathons, book sprints, barcamps, and learning circles. Using examples, mostly from the work and experience context of the Open Science Lab at TIB Hannover, we address concrete processes, working methods, possible outcomes and challenges.
The compilation offers an introduction to the topic and is intended to provide tools for testing in practice.