How are the data described? Datasets, standards and metadata
The data's description must include the information required to understand and analyse our data and/or reproduce the results in 20 years' time.
- Datasets: each dataset must be referenced and named. The description of each dataset should include the following information:
- Origin of the data: whether the data are generated within the project or are collected. If the data are collected, indicate the source they have been taken from.
- Typology and format of the research data (observational, experimental, computational, etc.).
- Standards: The metadata standard that will be used must be identified.
- Description metadata: the metadata should answer questions such as:
- What are the data?
- Who can use them?
- When can they be used?
- How can they be used?
- For what purpose can they be used?
- Where can they be found?
- For how long will they be available
What are the legal aspects concerning data protection?
The protection of personal data includes the protection of people's basic rights and freedoms applied to a RDI project, and their protection against possible use by unauthorized third parties
What are the ethical aspects concerning data protection?
Ethical aspects concern the data that can be shown, the time spent and the anonymity of the people involved, respecting dignity and integrity in order to guarantee privacy and confidentiality.
Resources and related documentation:
Under which licence can you publish your data?
The document Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020 states:
"As far as possible, projects must then take measures to enable third parties to access, mine, exploit, reproduce and disseminate (free of charge for any user) this research data. One straightforward and effective way of doing this is to attach Creative Commons Licence (CC-BY or CC0 tool) to the data deposited.
Further information can be found at:
How are data cited?
DataCite establishes that data must be cited in the same way that we cite other bibliographic information sources, such as articles or books.
Citing research data will enable you to:
- Easily reuse and verify the data.
- Monitor the potential impact of the data.
- Create an academic structure that acknowledges and rewards the data producers.
- Creator (Year of publication): Title. Publisher. Identifier
- Creator (Year of publication): Title. Version. Publisher [Type of resource]. Identifier
Note: The identifier refers to the permanent DOI, handle or URL (preferably linkable).
Examples of data citation (source DataCite):
Irino, T; Tada, R (2009): Chemical and mineral compositions of sediments from ODP Site 127‐797. Geological Institute, University of Tokyo.
Geofon operator (2009): GEFON event gfz2009kciu (NW Balkan Region). GeoForschungsZentrum Potsdam (GFZ).
Denhard, Michael (2009): dphase_mpeps: MicroPEPS LAF‐Ensemble run by DWD for the MAP D‐PHASE project. World Data Center for Climate.