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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

4Open Positions

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  • C

    Not disclosed

    Charles University
    Prague, Czechia
    Found 2 months ago
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C

Not disclosed

Charles University
Found 2 months ago
Location
Prague, Czechia
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Skills & Qualifications

Technical Skills

  • FAIR principles
  • data management plan (DMP)
  • Persistent identifier
  • Digital object (e.g., DOI, handle)
  • ORCID
  • ResearcherID
  • ROR
  • Creative Commons Attribution (CCBY)
  • General Data Protection Regulation (GDPR)
  • Act on Cyber Security

Soft Skills

  • transparent
  • replicable
  • accessible
  • reusable
  • collaboration
  • impact
  • public engagement
  • quality
  • integrity
  • secure
  • accurate
  • reliable
  • complete
  • interoperability
  • findability

Job Description

Charles University is committed to ensuring that its research is transparent, replicable and its research results are widely accessible and reusable, in line with the principle “as open as possible, as closed as necessary” . The University strongly believes that such practice improves the quality of research and benefits not only the wider research community but individual researchers as well by fostering collaboration and increasing their impact. Making research results widely available will further highlight the excellence of the University’s research and enable public engagement. The University recognizes that research data are an integral part of the research process and that research data management is a key component of research quality and integrity. The aim is for the University researchers to produce research data that are managed in accordance with the FAIR principles.

Requirements

  • manage their research data in accordance with the FAIR principles
  • Research data collection, processing and sharing must not infringe on Intellectual Property Rights, General Data Protection Regulation (GDPR), Act on Cyber Security, and must be in compliance with other legal, institutional and contractual requirements.
  • Research data are to be stored in a secure location to prevent unauthorised access or data loss, following the methodological guidance on data security.
  • Where possible, research data should be accompanied by rich metadata using standardised vocabularies and should be stored in ​​​​​​standard formats in order to increase their interoperability.
  • If there is an exchange of personal data with a third party where the University is the data exporter, an agreement must be drawn up to ensure the data are protected.
  • When conducting research involving external partners, researchers are advised to draw up an agreement that specifies rights and responsibilities of the involved parties, regarding, for example, intellectual property rights and licensing, or responsibilities in relation to research data management.
  • Researchers are advised to prepare a data management plan for their research projects to ensure the data are complete, accurate, reliable, and secure. Data management plans should be updated regularly to reflect what actually happened with the data.
  • Research data that serve as a basis for a publication are to be ​​retained for a period of minimum 10 years since the day the research results are published,so that the results may be verified.If it is necessary to delete some data earlier, for example due to contractual obligations, this information is to be provided in the documentation.Researchers are encouraged to retain their research data for as long as feasible.
  • Research data that are being preserved are to be accompanied with ​​sufficient documentation to ensure they can be easily interpreted.
  • Research data are to be shared along with rich metadata to provide sufficient information on their provenance and to increase their findability and reusability.
  • Metadata of shared data include references, via persistent identifiers, to other related outputs and entities.
  • Research data should be assigned a persistent identifier.
  • Research data should be shared via a trusted repository or a suitable platform that is established within the research field.
  • In compliance with intellectual property rights, research data should be assigned an appropriate licensein order to clearly specify the conditions for reuse, unless funder requirements, statutory or contractual obligations provide otherwise. It is recommended to use open licenses such as Creative Commons Attribution (CCBY).
  • Where appropriate, published research should include a data availability statement which outlines how the underlying data may be accessed.
  • Researchers are responsible for managing their research data in accordance with the basic principles outlined in this policy.
  • When undergraduate and postgraduate students participate in research, the Principal Investigator or supervisor is obliged to introduce them to the basic principles of research data management.The students have a personal responsibility to contribute to effective data management of the data they work with.
  • Researchers are obliged to comply with the Code of Ethics, General Data Protection Regulation (GDPR),Act on Cyber Security, and with other legal,institutionalor contractual requirements.
  • When reusing or referencing datasets, researchers are obliged to follow proper citation guidelines.
  • Researchers are obliged to allocateappropriate resources for data management in research proposals and grant applications.
  • When researchers find themselves unable to fulfil the requirements set out in this policy due to a failure of the University to provide appropriate resources or support, they should contact the University support team ([email protected]) or the Department of Science and Research ([email protected]) to obtain additional advice or support.

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Nice to Haves

  • open licenses
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