Data Papers
Data papers most closely resemble the traditional forms of scientific reporting and are therefore the easiest to understand and most convenient for researchers. Like other forms of scientific publications, they go through a peer-review process, which makes them the most reliable of all methods of recording metadata. At the same time, in accordance with the Slovenian Typology of Documents/Works for Bibliography Management in the COBISS System, they can be catalogued as either 1.01 Original Scientific Article or 1.03 Short Scientific Article, depending on their length and complexity.
Data articles describe data sets in detail but usually do not include any interpretation or discussion of the data, as original scientific articles do. They may contain raw or processed data and/or provide a link to the repository where the data is deposited. Other typical components of a data article include:
- information about the authors,
- abstract,
- a description of the materials and methods used to collect the data,
- instructions for re-use,
- authorship/contributorship statement,
- statement on ethical aspects and conflict of interests,
- acknowledgements,
- references.
Data journals usually do not prescribe minimum standards for reporting experiments or data, as these vary between research fields. Therefore, when preparing data articles, it is useful to follow the domain-specific principles for describing provenance that have been prepared by the scientific community for a given research field.
Source: https://dirrosdata.ctk.uni-lj.si/en/metapodatki/oblikovanje-metapodatkov/