Research data means all contents underlying the text of an article that facilitate research assessment, understanding, and reproducibility, as well as its reuse.
A dataset is a structured collection of data that may or may not be associated with a research/a paper (see glossary).
SciELO Data is a multidisciplinary repository for the deposit, preservation, and dissemination of research data from articles submitted or approved for publication or already published in journals of the SciELO Network or posted in SciELO Preprints.
Yes, SciELO follows the FAIR principles (Findable, Accessible, Interoperable and Reusable) for the cautious management of research data in SciELO Data (see glossary).
Yes. All SciELO Network current journals may have an exclusive space in SciELO Data (named Dataverse) and create sub-Dataverse spaces to group data by type of article or topic. It means, actually, that journals may operate their own repositories within SciELO Data.
The SciELO Data repository is exclusively intended for authors of articles submitted or approved for publication in SciELO Network current journals or posted in SciELO Preprints.
Yes. The deposit should be made in the SciELO Preprints Dataverse in the SciELO Data repository.
Any type of data that supports the article submitted or approved for publication and documentation that facilitates research assessment, reproducibility of results, and reuse of research data. All data types should include metadata as detailed as possible.
Yes, a dataset is created in its preliminary version, identified as a draft by Dataverse. The draft version immediately receives a DOI, which will be registered and activated after the dataset is published.
No, the article and the dataset are considered different communication objects of a research and, therefore, will receive specific DOIs and may, thus, be cited and managed separately.
No, using SciELO Data is free for authors and journals.
No, all data available on SciELO Data is free to download and use under their Creative Commons License, usually CC BY, which allows free access, wide use, and requires citation.
Any type of file. However, some formats (RData, SPSS, STATA, CSV, xlsx, FITS) are recognized by the system to access their metadata and provide more attributes and services for their content (such as searching file metadata and re-formatting).
TXT, OpenOffice (.odt, .ods or .odp), Word (.doc or .docx), and PDF.
CSV, Excel, R, SPSS (formats POR and SAV), and STATA.
2GB. Files above this limit will be analyzed on a case-by-case basis.
No, but the dataset deposited in the other repository must be cited and referenced in the text of the manuscript submitted or already published by a SciELO journal or deposited in SciELO Preprints.
Yes. After organizing the data and folders, zip the root folder to .zip format and upload the file to the journal’s Dataverse repository. After the upload, it will be possible to view the folder structure by clicking on the “Tree” button.
After deposit, the dataset will be curated by the journal’s editorial team and only after approval will it be made publicly available.
The curatorship will be carried out by the journal’s editorial team responsible for Dataverse.
Datasets deposited in SciELO Preprints Dataverse will be curated by the SciELO Preprints Editorial Team with the assistance of SciELO journal editors.
Yes, it is possible to edit or modify both metadata and files for a dataset in the draft version.
Yes, it is possible to do this via a private link. To do this, go to your dataset → click in “Edit” → “Private URL” → “Create Private URL”.
When you wish to disable the private link, go to your dataset → click in “Edit” → “Private URL” → “Disable Private URL” → “Yes, Disable Private URL”.
Yes, it is possible to edit or modify both metadata and files for a published dataset. Edits or modifications made will generate a new version of the dataset that will maintain a connection to the previous version, so all versions will be kept in the repository. This feature is called versioning and is one of the properties of trusted repositories.
Yes, it is possible to check this indicator on the right side of the dataset page under “Dataset Metrics”.
Even if the journal is no longer in the SciELO collection, the data made available in SciELO Data will continue to be accessible in the same way as with articles in deindexed journals from the SciELO Collection.
SciELO Data is a repository for open data that, in specific cases (such as proprietary data or sensitive data) allows to restrict access to selected files. When doing so, the file will not be accessible or downloaded, but the dataset metadata will still be visible.
Yes, it is possible. The recommendation is that the data be deposited in SciELO Data and that the journal be asked to publish an addendum stating that the data are available and the place where they can be consulted.
The use of Creative Commons licenses is not recommended for software codes (see the question “Can I apply a Creative Commons license to software?” in the Creative Commons FAQ: https://creativecommons.org/faq/).
To choose the most suitable license, we recommend consulting the following websites:
Yes, Creative Commons licenses can be adopted for research data.
SciELO recommends the adoption of the CC-BY 4.0 License (Creative Commons Attribution 4.0 International) which authorizes the sharing, using, and adaptation of research data always and when credit to the authors is ensured, but you can check which Creative Commons License is best suited to the type of data deposited and the restriction you wish to apply on the Creative Commons website (https://creativecommons.org/licenses/)).
GigaDB. FAQ. GigaDB [online]. [viewed 9 December 2020]. Available from: http://gigadb.org/site/faq. Nanyang Technological University. FAQs for DR-NTU (Data). Nanyang Technological University [online]. [viewed 9 December 2020]. Available from: https://libfaq.ntu.edu.sg/widget_standalone.php?la_widget_id=9232. USGS. What are the differences between data, a dataset, and a database?. USGS [online]. [viewed 9 December 2020]. Available from: https://www.usgs.gov/faqs/what-are-differences-between-data-a-dataset-and-a-database?qt-news_science_products=0#qt-news_science_products.