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To use certain functionalities of the Yareta Portal, you need a SWITCH edu-ID account.

SWITCH edu-ID is a persistent identity that gives access to all academic federated services in Switzerland. The account is easy to use, controlled by the user and provides secure access to academic services. The service is provided by SWITCH for Swiss universities and their partners. It is free of charge for you.

How to create your SWITCH edu-ID account?

1. Go to the SWITCH edu-ID web application
2. Click on the 鈥楥reate account鈥� button
3. Select the option 鈥楥reate without SWITCHaai鈥�
4. Enter at least your name and a valid, long-term e-mail address to create the account
5. Choose and confirm a secure password
6. Accept the Terms of Use, complete the CAPTCHA test and click on 鈥楥reate account鈥�
7. An e-mail with a verification link is sent to your e-mail address. Click on the link to activate your account.
8. Upon logging into Yareta for the first time, select the 鈥楽WITCH edu-ID鈥� option from the list and log in with your username and password

An Organizational Unit is a logical entity that can represent a structural unit, such as your laboratory, institute or department, or your research group or project. It allows for the management of team members and their permissions to deposit and archive research data.

Organizational Unit naming guidelines

Please choose a short and meaningful name, which reflects the logical entity it represents. This may be:

• A laboratory or research group (e.g., 鈥淟aboratory of Professor J茅r么me Lacour鈥�)
• A department
• An institute
• A large-scale project with multiple partners
• A smaller-scale project generating large volumes of data

Whenever possible, we recommend naming your Organizational Unit after your research group.

The Manager of the organizational unit can be a P.I. (Principal Investigator), a group leader or whoever has managerial/financial responsibility for the structural unit. S/he will be able to grant access to non-public archives and to delegate data management responsibilities to appointed team members (see the "What are team member roles?" section). Billing is linked to an organizational unit: see pricing details.

NOTE: If you need to archive research data from your academic work and do not have a lab/research group or a professor to be responsible for your research data, you will be added as a Creator (see the "What are team member roles?" section) to one of the organizational units dedicated to theses and other academic works.

Yareta delegates full responsibility to the Organizational Unit Manager for monitoring notifications and ensuring adequate management and control over your team members and archives, including quality and consistency of research data and associated metadata. As a Manager, you are responsible for making sure that all the members of your Organizational Unit are aware of Yareta's Preservation Policy and Terms of Use, and of their duty to comply with them. You are the main contact for all financial/billing issues. You need to consider these Good Practices.

The types of data that require long-term preservation depend primarily on your research area and its regulatory and legal requirements. Some data in the medical field, in the case of implantable medical devices for example, may require retention for 15 years. Additionally, personal and sensitive data that's governed by regulatory requirements such as HRA, FADP, LIPAD or GDPR, should be archived in compliance with the necessary restrictions and no longer than necessary according to the regulations.

As a general rule, the SNSF recommends to preserve research data for 10 years (), but Yareta offers you to choose between 5, 10, 15 years, or even more than 15 years if required in your discipline or research area. By default, data is preserved for a period of 10 years.

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To add your ORCID iD to your Yareta profile, go to the menu behind your initials in the upper right corner

> select PROFILE > enter your 16-digit ORCID iD in the designated field and click the GET AN AUTHENTICATED ORCID button (icon on the right-hand side of the ORCID field)

> if a confirmation dialog box pops to ask you whether you want to stay or leave the page, accept to leave the page

> SIGN IN with your ORCID iD and password on the orcid.org website

> the system will bring you back to your PROFILE on Yareta.

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Team members can perform different actions depending on the role they have in a particular Organizational Unit. People with the Manager role can manage individual permissions, giving team members access to the features and actions they need.

1) Authenticated guests can request and be granted access to restricted and closed archives on a case-by-case basis.

2) Only the Manager, the Steward and authorized members of the Organizational Unit can download data from closed archives on a case-by-case basis.

3) Depending on the chosen submission policy, Creators can either validate datasets themselves (with the DEPOSIT WITHOUT APPROVAL policy) or send them for validation by an Approver (with the DEPOSIT WITH APPROVAL policy), who can then choose to approve, reject or send them back for editing.

4) Data Steward is a recommended role that brings added value to an Organizational Unit: Stewards can be go-to experts for any data management question, for defining and implementing data plans and procedures, for the day-to-day operational and administrative management of deposits and archives, for ensuring quality of the data and for maintaining a consistent use of data resources across the Organizational Unit. Depending on the structure of the Organizational Unit, this role can be assumed by a data specialist, a domain expert, a librarian, an archivist, etc.

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Yareta assigns听a DOI (Digital Object Identifier) to make data sharing FAIR, by ensuring that your archive is uniquely and permanently identifiable and citable in scientific publications.

To share your dataset,听it is sufficient to share the DOI associated with it. You can find the DOI of your archive in its metadata page, either from the search results or听in your deposit. Your DOI has the following format: 10.26037/yareta:. The sharable link can be built as follows: https://www.doi.org/10.26037/yareta:.

If your archive is public, people can use the DOI to retrieve your archive鈥檚 metadata and to download the associated data. If your archive is not public, only its metadata remain accessible to non-authorized persons. People viewing it will be able to request access to the associated data.

If required, you can RESERVE A DOI while editing your deposit鈥檚 metadata, which allows you to quote your data in any scientific article in preparation. Keep in mind that your DOI will not be active as long as your deposit has not been archived (see ).

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You can make a single upload of up to 6GB onto Yareta. This limit can either be reached with a single file or by selecting multiple files during the upload. We have a procedure in place to upload large datasets if your data exceeds this limit.

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If your data exceeds the 6GB per file upload limit, please follow the procedure described below:

1. Prepare your deposit on Yareta:

• Create a new deposit in your organizational unit and fill in the deposit鈥檚 metadata (for help, take the DEPOSIT and METADATA REPOSITORY guided tours)
• Copy your deposit's ID: click on the key icon (top-right corner of your deposit鈥檚 page)
• Keep your deposit ID handy as you will need it in step 3

2. Prepare your shared space, three possible options:

• Option A (UNIGE researchers only): request a Research data storage space on the academic NAS at  > create a directory named 鈥測areta鈥� in it
• Option B: If you are using a private/local NAS > create a directory named 鈥測areta鈥� in it > provide the Yareta support team access to it via SAMBA, FTP or SFTP
• Option C: Otherwise, contact the Yareta support team to request a space on the YARETA STAGING AREA

3. Select and organize your data on your shared space:

• In the 鈥測areta鈥� directory on your shared space > create a new directory using your copied deposit ID as its name
• Organize your dataset following Yareta鈥檚 data categories and types using  (see example in the diagram below)*
• If needed, is available for use on the Yareta Portal. Just place your files in the right folders and rename the root folder with your deposit ID. You do not need to remove any unused folders as Yareta will simply ignore them.

*In accordance with good practices for data preservation, we will not accept any compressed file formats in your dataset unless their inclusion is duly motivated

4. Inform the Yareta support team once  your dataset is ready for upload

• If you chose to use the academic NAS, please share the path to it with the . The path should start with 鈥�//nasac鈥︹��

5. Once your dataset has been uploaded, verify and archive your deposit on Yareta:

• Go to your DEPOSIT on Yareta to check and complete your data and metadata
• Click SUBMIT when your dataset is ready
• Your dataset is archived once its status is COMPLETED (it may take some time depending on its size)

Do not hesitate to contact the Yareta support team if you need help with this procedure or to find the best way to upload your data depending on its structure and volume.

Example diagram:

To customize your organizational unit鈥檚 logo, simply go to its page in the preservation space, click on the default Yareta logo on the left side of the page and select a new image from your computer.

A deposit鈥檚 logo can also be customized this way.

There are several reasons why your file might be in error. You may have uploaded the same file twice; it may contain a virus鈥�

To find out why your file is in error, click on it to enter its detailed view, then click on the 鈥淪how history status鈥� button located on the top-right corner of the page.

If the error message isn鈥檛 clear or if the reason for the error is out of your control, contact our support team:

• For UNIGE researchers >听
• For researchers from other Geneva鈥檚 Higher Education Institution >听

Excluded and ignored files contain certain patterns that our system identifies as extraneous to your research data and must therefore be deleted, or manually approved in the case of ignored files.

Excluded formats and patterns:

• __MACOSX听
• Thumbs.db听
• .DS_Store听
• Files containing this string in their name: %0A
• Files containing this string in their name: %0D

Ignored formats and patterns:

• .lnk听
• .zzz
• Subfolders named: /old/
• .zip, .rar, .tar and other compressed file formats*

*As Yareta follows best practices for data preservation, it is strongly recommended to upload .zip files using the 鈥渟tructured upload鈥� feature. By using this feature, .zip files will be decompressed while retaining their folder structure and the files contained therein will automatically be described in your deposit鈥檚 metadata. If you archive a compressed file, end-users will not have access to this valuable metadata unless they download and decompress it. If you still need to archive a compressed file, you will be required to document its contents in a README file that you can add alongside it. You can find examples of README files on the research data website.

If for whatever reason you need to delete a large amount of files at once (for example, if you imported thousands of files and have over 100 excluded files spread across your deposit), you can follow these steps:

1)听Click on the 鈥淔ile view鈥� button to see all of your deposits鈥� files without any folder structure

2)听Use the filters in the table header to only display the files you would like to delete. If we take the excluded file example, simply select the 鈥淓xcluded file鈥� status from the dropdown list.

3)听Tick the box next to 鈥淔ile name鈥� in the table header to select all files on the current page*.

*Note that only the first 10 elements are displayed by default. You can select all the files which correspond to your filter criteria by clicking on 鈥淪elect all X elements of the search鈥�, which will appear above the file table if the number of files exceeds the 10 that are displayed by default

4)听Once you have selected all the files to be deleted, click on 鈥淒elete selection鈥�

The SENSITIVITY of data is defined according to the听听System for sharing sensitive Data with Confidence (). A datatag is a set of security features and access requirements for file handling.

To contribute to the impact, transparency and reproducibility of scientific research, funders and publishers mandate the sharing of data where possible. However, data containing sensitive information about individuals cannot be shared openly without appropriate safeguards. An extensive body of statutes, regulations, institutional policies, consent forms, data sharing agreements, and best practices govern how sensitive data should be used and disclosed in different contexts. DataTags help navigate these complex issues, enabling data sharing in a secure and legal way while maximizing transparency. Each tag provides a well-defined prescription that defines how the data can be legally shared.

Six standardized DataTags levels were defined from public to most restricted level:

1. blue = public
2. green = controlled public
3. yellow = accountable
4. orange = more accountable
5. red = fully accountable
6. crimson = maximally restricted

DUA = Data Use Agreement

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Sharing Sensitive Data with Confidence: The Datatags System, from Sweeney et al (2015)

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Yareta integrates the DataCite metadata schema to support dataset citation, discovery and persistence. It requires a minimum set of descriptive metadata during the submission process so a DOI (persistent digital object identifier) can be generated and assigned to each dataset.

Uploading additional metadata files for a dataset beyond the default DataCite metadata is a common use case. Yareta provides a simple way to do this under FILES > ADVANCED MODE, select the Data category: PACKAGE and the Data type: METADATA.

The CUSTOM METADATA type gives you the ability to define a metadata schema in a format that is unique and meaningful to your research field, such as XML or JSON. Yareta validates both the type (format) of the file and its content (structure) against the metadata schema. Contact the Yareta support team to request a new metadata schema to be uploaded to Yareta.

Restricted and closed archives can only be shared with authenticated users.

If you wish to share such an archive with a colleague from outside a Geneva institution, they will need to follow these steps:
1- Create a SWTICH-Edu ID account using any sort of email address here:
2- log onto Yareta with their new SWITCH-Edu ID account to automatically create their Yareta account

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From here there are two ways to grant your colleagues access to your archives according to their access level (restricted/closed).

If the archive is in restricted access:
- Add them to your organizational unit and grant them the "Visitor" role. This will grant them viewing access to your restricted archives. They will be unable to modify or create deposits.

If the archive is in closed access:
1- Go into your organizational unit and click on "Manage archive access"
2- From there, click on the "create" button and then select the archive and the user with whom you would like to share your archive.
3- You can set an expiration date for this access, but it's optional

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See the video below for a short demonstration on how to do this.

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Direct link to the video on

To edit an archive鈥檚 metadata, you just need to follow these steps:

1)听听听听听 Go to your deposits and select the one you wish to edit.

Note: The deposit needs to be either 鈥渃ompleted鈥� or 鈥渃leaned鈥�

2)听听听听听 Click on 鈥渆nable metadata editing鈥�. This will allow you to modify the deposit鈥檚 metadata as you see fit.

Note: You need to either be a Steward or a Manager to perform this action

3)听听听听听 Once you are happy with your changes, click on 鈥渟ubmit鈥� and the changes will be applied to the published archive. If you wish to revert these changes, click on 鈥渃ancel metadata editing鈥�

Your data is preserved after you submit the deposit which contains it and it finishes going through the archiving process.

After this step, you will be able to share your data thanks to its DOI and it will become immutable. At this point, you will only be able to modify your archive鈥檚 metadata (see the 鈥淗ow do you edit an archive鈥檚 metadata?鈥� section).

Yes, if your scripts are written in Python!

We have created a PIP package for our API which you can .

contains all the necessary documentation.

We also created which will show you some examples of what you can do, like creating multiple deposits at once.