CORA. Research Data Repository   

• It is recommended to deposit the search data in CORA-RDR. It is a trusted repository specifically for data.
• CORA-RDR is the data repository of Catalan universities and CERCA centers.
• Metadata published in CORA-RDR are found indexed and therefore findable a:
• The research staff of the UPC may publish FAIR-type research datasets in accordance with the guidelines of theEOSC.
• El CSUC and the CORA-RDR they are official service providers within the EOSC, actively contributing to the advancement of research, driving data reuse and promoting the values ​​of open science for the benefit of the wider scientific community.
• Before publishing the first dataset to CORA-RDR you need to register by following these instructions and report to info.biblioteques@upc. Edu to assign you publishing permissions. 
• Post is not immediate. The data curators of the libraries of the UPC review metadata before publishing the dataset. 
• Contact info.biblioteques@upc. Edu to publish datasets larger than 10GB.

With each dataset:

• Add a readme file with information about the research data. The file should be saved as "Readme.txt".

Download the templates (use the language of the data) and right-click "Save link as".

• Readme.txt (Catalan)
• Readme.txt (English)
• Readme.txt (Spanish)

Before publishing, verify that the data follows the FAIR principles 

• You can verify with the quick guide if you have all the information in the data to follow the FAIR principles.

UPCommons

It is recommended to deposit datasets in UPCommons only if you have indicated in your DMP UPCommons as a repository or datasets are part of a project that already contains datasets in UPCommons.

The collection Research data d'UPCommons allows you to publish, share, describe and lliceStart FAIR research data linked to a publication or research project:

• The data published in UPCommons They must be produced by the scientific community of the UPC.
• UPCommons It allows you to host data in any format. Following the institutional policy on free software, we recommend that you use open formats whenever possible.
• In addition to the handle, UPCommons assign a DOI to each dataset.
• Files can be up to 2GB in size. For larger files or to publish multiple files, contact info.bibliotequesupc.edu.

How to publish datasets a UPCommons:

• To the community Research data, select Deposit search data.

Enter metadata:

• Author / s of the data.

• Department / s research group (s) of authors / s.

• Title, description and keywords in the dataset.

• Year of creation

• Software to check the data, if applicable.

• Code of the financing entity or title of the publication associated with the data.

• Information on licenses.

With each dataset:

• Add a readme file with information about the search data. The file must be saved as "Readme_title of dataset.txt".

Download the templates and right-click "Save link as".

• Readme.txt (Catalan)
• Readme.txt (English)
• Readme.txt (Spanish)

Post is not immediate. Before making them public, librarians review metadata.

Before publishing research data:

• Check that you have the rights to disseminate the data. If not, you need permission to re-use the data by the data holders.

• Make sure the data you want to publish is not subject to any restrictions on privacy, privacy or copyright issues. If the data refers to people (surveys, ...), they must be published anonymously or have the explicit consent of the people who participated. For more information, consult the sections: Copyright and Licenses.

In addition to CORA-RDR id 'UPCommons, you can deposit the data in other repositories. Consider the following criteria:

• The storage capacity is sufficient.
• It allows you to deposit in the desired format and the different versions of the same file.
• You can link the data to the associated publications.
• It has a preservation policy: backups, shelf life, etc. 
• Ensures interoperability with OpenAIRE, if the data is from a European project
• It has a persistent and unique identifier (DOI o URN) for each set of data.
• The deposit follows data quality guidelines and certifications such as, ISO, DINI, Data Seal of Approval.
• Data is easily recoverable.
• Allows you to choose between different usage licenses.
• Allows the restriction of access to the data (closed, restricted or established by an embargo period).
• What are the costs associated with the use of the deposit.
• The discipline of project data.

The directory re3data.org allows you to select from many repositories according to the thematic area, the type of data, etc. 

• Zenodo: research data repository developed by CERN in the framework of the OpenAIRE project. If you can not find a deposit that fits your project, you can use multidisciplinary repositories.
• Eudat (European Data Insfrastucture): multi-institutional project funded by the EU H2020 program.

During the search, we recommend that you organize and document the data that you generate and preserve them during the period you establish, for example, between 5 and 10 years. Sharing data with other researchers by depositing them in open access repositories, entails benefits for:

The researcher and his institution:

•    Safe storage in the long term.
•    Be able to demonstrate the results of the investigation.
•    Make the data visible and be able to cite them.
•    Allow reuse of data.
•    Increase citations and therefore the impact of research.
•    Establish collaborations on related topics.

For financing entities:

•    Have the data of the search funded located.
•    Avoid duplicities in the collection of data.
•    Make more efficient use of research funded with public funds.
•    Increase return on investment by promoting reuse of data.

For science and society:

•    Maximize transparency.
•    Improve quality in verification, replication and trust.
•    Promote innovation through new uses of data.
•    Increase the social value of research.
•    Meet the mandates in favor of open access.

As it is collected in the Recommendations from the educational content publications guide (UdG):

Although raw data is not copyrighted and therefore not subject to intellectual property, it must be kept in mind that it is the databases where they appear. As set forth in 133 article of the Intellectual property law I la Law 5/1998 of 6 March, incorporating into Spanish law Directive 96/9 / EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases:

• The "sui generis" right on a database protects the substantial investment, qualitatively or quantitatively evaluated, made by its manufacturer either through financial means, investment of time, effort, energy or others of a similar nature, for the obtaining , verification or presentation of its content.
• By virtue of this right, the manufacturer of a database may prohibit the extraction and / or reuse of all or a substantial part of its content provided that the obtaining, verification or presentation of such content represent A substantial investment from a quantitative or qualitative point of view. This right may be transferred, ceded or licensed.
• Nor is the repeated or systematic extraction and / or reuse of non-substantial parts of the content of the database suspected of acts contrary to normal exploitation of the database or that cause unjustified damage to the legitimate interests of its manufacturer.
• The "sui generis" right on the data base is applied without prejudice to the possible existing rights over its content (copyright of the works included or others).

Therefore, the reuse of own data or of third parties entails the consideration of the following aspects:

• Who owns the data?
• Are the data in a database protected?
• Do you have permissions to preserve the data and allow it to be reused?
• Are there restrictions on third party data?
• Is there any embargo period that limits open access to data?
• What licenses will you use to facilitate the reuse of your own data?

As the European Commission collects in the document Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020:

It should be noted that public domain licenses are the means to provide data in the most open way possible as the llicenciador waives all rights (as far as possible with applicable law).

It should also be considered that the 4.0 version of the licenses Creative Commons It presents some improvements that may be of interest in the case of the research data:

• Databases: coverage of the right "sui generis"from databases, except explicit exclusion of lliceinitiator
• Authorization: improvement of the procedure with which an author can request the non-mention of his authorship, both in the reproductions of his work and in the works derived therefrom. In addition, the users of the works can recognize the authorship of the works used through a link to a web page where this information is listed.
• Interoperability: maximization of interoperability between CC licenses and other licenses.
• Others: "What's New in 4.0".

Alex Ball, a member of the Digital Curation Center, has developed the guide How to License Research Data, a document that includes several aspects to consider when licensing research data:

• Most projects can use standard licenses such as Creative Commons or Open Data Commons, but you can also make a personalized license according to the data casuistry and provided that you have the advice of professionals.
• In cases where none of the existing licenses is fully satisfactory, the granting of several licenses ("multiple licensing ").
• Creative Commons licenses treat datasets and databases as a whole, but not individual data included (differentiated from the databases or collection). This can be difficult in some complex cases, such as the collections of several copyrighted works.
• The databases are included among the works that can be offered in the public domain by means of the CC0 license. In relation to the remaining Creative Commons licenses, it is recommended to use the 4.0 version.
• There are other licenses, as part of the Open Data Commons project, which are specific to databases:
  • Open Data Commons Attribution License (ODC-BY): A license that allows third parties to copy, distribute and use the database, as well as use it to create new content, databases or database collections (as long as the original database is cited ).
  • Open Data Commons Database License (ODbL): It is the same license as the ODC-BY but, in the event that new derivative databases (not database collections or other possible derivative contents) are made, the same license must be granted that the base of original data. It also allows the application of Digital Rights Management (DRM) technology, both in the original database and the derivative, as long as an unrestricted copy of the database is offered alternately.
  • Open Data Commons Public Domain Dedication and License (PDDL): License similar to CC0, but written specifically for databases. It allows you to copy, distribute and use the database, as well as create derivative works and databases, without any other restrictions.

As set forth in the preamble to these licenses Open Data Commons:

• ODC-BY i ODbL they only cover the rights on the database, not on the contents of the same (images, audiovisual material, etc.). In this case, the lliceAdvertisers must use ODbl in conjunction with other licenses.
• However, PDDL It can be used for databases or its contents (data), both jointly and individually.