TIB – Leibniz Information Centre for Science and Technology

TIB – Leibniz Information Centre for Science and Technology provides academia, research and business with literature and information. Its remit is to preserve recorded knowledge and to provide the latest information irrespective of time and place. TIB is actively engaged in promoting Open Science and Open Access and thus supports unrestricted, free access to scientific information.

TIB is continuously expanding its role as an information centre for the digitisation of science and technology. As a research library, it conducts applied research and development in order to generate new services and optimise existing ones. Its key areas of research are in the fields of Data Science & Digital Libraries, non-textual material, Open Knowledge, Open Science and Visual Analytics.

TIB provides scientific content and digital services to specialist and research communities at https://www.tib.eu, supporting the different stages of scientific work. The library’s search and order portal offers users access to its outstanding collections of fundamental and highly specialised information on science and technology. These collections also include knowledge objects such as 3D models, research data and audiovisual media. TIB’s AV-Portal (https://av.tib.eu) can be used to search for specific content from scientific videos from the fields of science and technology. By allocating DOI names (Digital Object Identifiers) and ensuring they can be detected and accessed, TIB safeguards the quality, long-term availability and referenceability of research data, which plays an important role in the research process.

Relation to OSGeo
TIB provides an open plattform (https://av.tib.eu) for discovery of FOSS4G recordings and other material (https://www.tib.eu). TIB preserves scientific documents and materials of OSGeo foundation projects and enhances the discoverability of OSGeo-related content by research and development activities (including automated metadata enrichment, linked open data, and ontology-based approaches).

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