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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.

Reusable

For good traceability and reproducibility of the data, these as well as the metadata richly documented. This also includes the assignment of a comprehensible license.

Examples of open data / research data at Chemnitz University of Technology

Wikimedia Commons

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Librarians of the University Library share selected pieces of their work freely accessible and reusable via Wikimedia Commons.

Wikimedia Commons

Free licenses

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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

TUCdata

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At the TU Chemnitz is currently developing a networked information infrastructure.

TUCdata

The University Library took part in Kultur-Hackathon Coding da Vinci Ost in Leipzig and contributed two open data collections.

Coding Da Vinci

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Open Science-Team

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University Library assembles knowledge on research data management in its

Open Science-Team

The 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.

RDM-Webseites

Contact

Portrait: Anja Hähle
Anja Hähle
  • Phone:
    +49 371 531-36257
  • Email:
  • Address:
    Straße der Nationen 33, 09111 Chemnitz
  • Room:
    A01.312