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Merge pull request #1 from ICIQ-DMP/review_cora_guidelines_laura
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_posts/CORA.RDR/User-Guide/2025-10-19-Dataset-Fields.md

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### Title *(required)*
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The **main title** of the dataset. It should be descriptive and consistent with related publications.
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If you’re uploading supplementary material for an article, use a clear title such as: `Replication data for “Catalytic
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activation of CO₂ on Cu surfaces”`
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If you’re uploading supplementary material for an article, use a clear title such as: `Supporting Information for
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“Catalytic activation of CO₂ on Cu surfaces”`
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**Tip:** Avoid abbreviations or internal references.
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Usually, if you are uploading the files for a supplementary materials of an article, the title of
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### Notes
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Free-text field for **additional information** not covered elsewhere.
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Use it for:
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* Special acknowledgements.
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* Special acknowledgements (especially funding information).
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* Internal comments relevant to future reuse.
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* Description of some file structure not covered elsewhere
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* Description of file structures not covered elsewhere.
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We strongly recommend including **acknowledgements of funding bodies and project identifiers** (e.g. grant agreement
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numbers). This information can be harvested by **OpenAIRE**, the European Open Science infrastructure that aggregates
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research outputs linked to funded projects.
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Providing clear funding references facilitates the automatic inclusion of datasets in the official “outputs” of European
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and other funded projects, improving visibility, compliance with funder requirements, and traceability.
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**Example:**
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> This research was funded by the European Union under Grant Agreement No. XXXX (Project Acronym).
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> The data files include an additional folder with intermediate outputs not used in the final publication but relevant
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> for reproducibility.
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_posts/CORA.RDR/User-Guide/2025-10-20-Dataset-Files.md

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the original Excel loses an important part of format of the Excel, affecting to the quality of the data. In this case
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and others it may be reasonable to bypass the guidelines on the recommended file formats.
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Here is a revised version of your text with a clearer explanation of **DANS** and its relevance:
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## Preferred and Non-Preferred File Formats (DANS)
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Preferred formats are file formats that DANS – based on international agreements – is confident offer the best long-term
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guarantees in terms of usability, accessibility, and sustainability. Deposits of research data in preferred formats
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will **always** be accepted by DANS.
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## Preferred and Non-Preferred File Formats
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Non-preferred formats are widely used in addition to preferred formats and are expected to remain moderately to
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reasonably usable, accessible, and robust in the long term.
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Preferred formats are file formats that **Data Archiving and Networked Services (DANS)**, the Dutch national centre of
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expertise and repository for research data, recommends based on international standards and long-term digital
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preservation practices.
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DANS is an institute of the Royal Netherlands Academy of Arts and Sciences (KNAW) and the Dutch Research Council (NWO).
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It manages certified research data repositories and develops policies to ensure that research data remain accessible,
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usable, and sustainable over time. Because of its national mandate and alignment with international agreements on
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digital preservation, DANS defines which file formats offer the strongest long-term guarantees.
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Deposits of research data in preferred formats will **always** be accepted by DANS.
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Non-preferred formats are also widely used and may still be accepted; however, they are expected to remain only
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moderately to reasonably usable, accessible, and robust in the long term compared to preferred formats.
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## General Guidelines

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