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Open Science
Open Data - free data with free licenses
What is Open Data?
Open data is data that can be freely used, re-used and re-distributed by anyone - at most restricted by the obligation to name sources and “share-alike”.
This does not apply to personal data.
(Open Knowledge Foundation Deutschland: Open Data)
Research data as part of Open Data
Research data are all data generated in the scientific research process. They range from quantitative measurement data, survey results, statistical findings, qualitative data such as interview transcriptions, field research notes, audio and video files to software and much more. Research data should be made publicly available and thus usable in the long term, provided that there are no project-specific obstacles. An open license can be issued for this purpose.
Open Data as part of FAIR Data
FAIR data is data that is Findable, Accessible, Interoperable, and Reusable. However, compared to open data, which must always be freely available and accessible, access to FAIR data may be limited. The FAIR-Principles simply require that access be clearly regulated. For example, if there is only a freely accessible contact where data use can be requested, the data is FAIR but not Open.
Findable
The data and its metadata are easily and unambiguously discoverable by humans and machines, with machine-readable metadata being especially important.
Accessible
Access to the data is clearly regulated via a standardized communication protocol. Furthermore, access to the metadata must be permanent.
Interoperable
The data and its metadata can be combined with other data due to the use of formal standards, allowing automated exchange between computer applications.
Examples of open data / research data at Chemnitz University of Technology
Wikimedia Commons
Librarians of the University Library share selected pieces of their work freely accessible and reusable via Wikimedia Commons.
Wikimedia CommonsFree licenses
Digital copies of rare books from the University Library are made available under open licenses (metadata CC0, pictures CC-BY-SA and PD).
Digitale Sammlung
The University Library took part in Kultur-Hackathon Coding da Vinci Ost in Leipzig and contributed two open data collections.
Coding Da Vinci
Open Science-Team
University Library assembles knowledge on research data management in its
Open Science-TeamThe handling of research data from the search for already existing data to the creation, archiving and subsequent use is carried out within the framework of the so-called Research Data Management (RDM). Further information on RDM and related Open/FAIR data can be found on the University Library websites.
Contact
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Phone:+49 371 531-36257
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Email:
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Address:Straße der Nationen 33, 09111 Chemnitz
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Room:A01.312