RDM tools & services
Tools & services for data management, protection, sharing and preservation provided or recommended by UH Data Support.
Planning Research Data Management


DMPTuuli  is an online tool for writing data management plans.  In DMPTuuli you can find general and organizational guidance on data management planning as well as data management plan templates by different research funders. 

You can also use the tool for teaching data management planning to students.

You’ll also find and introductory video guide to the service on DMPTuuli’s front page.


What is Etsin?

Etsin enables you to find research datasets from all fields of science. Etsin contains information about the datasets and metadata in the national Finnish Fairdata services. We also currently harvest information from the Language Bank of Finland, the Finnish Social Science Data archive and the Finnish Environmental Institute, and new sources will be included.

Etsin works independently of the actual data storage location, but includes information on the storage location and usage rights. Etsin provides download links when possible, links to landing pages of harvested metadata sets, links to the rights entitlement system and a contact form.

Who can use Etsin?

The published metadata on the dataset is open to everyone. The data owner decides how the underlying research data can be accessed and by whom. Etsin works independently of actual data storage location and contains no research datasets. Datasets can be described and published through the Qvain service.

The Fairdata Qvain tool offers you a straightforward form in which to describe your data. Once you are happy with it, you can publish the dataset and make it visible to others.

Qvain provides your dataset with a persistent identifier, landing page and distributes its description to other relevant services.

Storing and sharing data

IDA is an ideal place for holding very large, static data sets ranging from dozens of gigabytes to several terabytes. While it may not be used for sensitive data, IDA space can be shared between members of a group. IDA also supports public sharing of the data, but can't be used as a long term repository. 

The service is offered to Finnish universities and polytechnics as well as research funded by the Academy of Finland. Ida requires a CSC user account. IDA can be used for:

  • Holding large data sets up to several terabytes.
  • Sharing data within a group.

Publicly sharing data IDA can't be used:

  • For storing sensitive data.
  • As a long term storage: Digital preservation means preserving data basically forever. IDA has many similar features providing safe bit level storage, but digital preservation is a separate service.
  • IDA is not optimal for very small data sets.

Quick Facts:

Get in touch with an IT expert who will help you sort out all your IT needs, tailor the right solutions for you with you, and help you manage your data properly and efficiently. Provides consulting ranging from IT acquisitions to e.g. managing sensitive data to life cycle management.

Data transfering
Opening or publishing data

Dryad is an international open-access repository of research data, especially data underlying scientific and medical publications. Dryad is a curated general-purpose repository that makes data discoverable, freely reusable, and citable.

The EUDAT Collaborative Data Infrastructure (CDI) is a European e-infrastructure of integrated data services and resources to support research. Via EUDAT services anyone can store, share and publish a small-scale research data, max size 20GB. Not for confidential or sensitive data sets. The service is free of charge.

EUDAT provides different data services which are a reliable way for researchers, scientific communities and citizen scientists to manage their small-scale research data from diverse contexts. EUDAT B2DROP can be used as a cloud service to store and share small-scale research data as well as sync files on your own computer via NextCloud client.

B2SHARE is a reliable way for researchers, scientific communities and citizen scientists to publish small-scale research data.

Suitable for both quantitative and qualitative data. They will describe the data for you, store them in a file format suitable for reuse and help you with the anonymisation of the data. Your data will be preserved for decades to come reliably and in accordance with current data security regulations and requirements.

The Language Bank of Finland is a service for researchers using language resources across digital humanities and social sciences. The Language Bank has a wide variety of text and speech corpora and tools for studying them. The corpora can be analyzed and processed with the Language Bank's tools or downloaded.

Zenodo is an easy to use data repository funded by European Commission and maintained by CERN. 

Volume and size limitations: Total files size limit per record is 50GB. Higher quotas can be requested and granted on a case-by-case basis.

When submitting research data file(s) to Zenodo, please attach also a "readme" file. In "readme" give the basic information about the data, so others can correctly interpreted it. Add also references to the publications based on this data.

  1. To submit research data to Zenodo: Login (or create an account)
  2. Upload => New upload
  3. Upload the data file(s) & "readme" file
  4. Upload type => Dataset
  5. Fill in the form; most of the questions are self-explanatory
  6. Remember to add University of Helsinki in author affiliations. This way the dataset is included in UH dataset listing in Etsin: https://etsin.fairdata.fi/
  7. You can check ORCID's here: https://orcid.org/orcid-search/search
  8. Description: in additon/instead of the "readme" file, give basic information about the data file(s) here.
  9. Access right => Open Acces => Creative Commons Attribution 4.0 (=others are free to use, share and adapt; as long as they credit you as the original contributor) OR Creative Commons Attribution-NonCommercial 4.0 (=others are free to use, share and adapt for non-commercial purposes; as long as they credit you as the original contributor)
Data preservation / archiving

What is Etsin?

Etsin enables you to find research datasets and to make your own datasets discoverable to others. Etsin offers access to datasets in various fields via a joint metadata model. The descriptive metadata stored in the service includes information on the authors, subject, format and licensing of the dataset.

Who can use Etsin? 

Anyone can use Etsin to search for research datasets. Haka-authenticated users may enter information on their own datasets, and of others' datasets with their permission. Etsin aims to collect information on datasets from various sources and from various fields. You do not have to be a professional scientist or researcher in order use the service.

Is all data in Etsin open? 

The published metadata on the dataset is open to everyone. The data owner decides how the underlying research data can be accessed and by whom. Nevertheless, sharing your data openly is recommended whenever possible. Etsin works independently of actual data storage location.

Long-term preservation refers to the preservation of digital information in an intelligible and usable form for several decades or even centuries. Hardware, software and file formats will become outdated, but the information must be preserved.

At the University of Helsinki, direct questions to the Data Support: datasupport@helsinki.fi

Via online form you can propose digital data produced at the University of Helsinki for long-term preservation.

Sensitive data

REDCap is a secure web platform for building and managing online databases and surveys. REDCap is available to all students and staff at the University of Helsinki. Log into REDCap at  https://redcap.helsinki.fi/redcap/  with your University of Helsinki username and password. REDCap is installed on the University’s own servers, and the data collected when using REDCap is also stored on the University’s servers. 

REDCap provides automated export procedures for seamless data downloads to Excel and common statistical packages (SPSS, SAS, Stata, R), as well as a built-in project calendar, a scheduling module, ad hoc reporting tools, and advanced features, such as branching logic, file uploading, and calculated fields. It is especially useful for collecting and managing sensitive information. 

Please ensure that data protection requirements are met before you start collecting any data. The Data protection guide for researchers in Flamma is an excellent source on these requirements.

Detailed instructions and training videos can be found on REDCap’s website and the same videos are also available for viewing on the University of Helsinki’s REDCap site after you have logged in.

REDCap was created in 2004 at Vanderbilt University and it is constantly developed by the members of the consortium. Vanderbilt University has also a very thorough course on Data Management for Clinical Research in which REDCap is used: https://www.coursera.org/lecture/clinical-data-management/course-introduction-Z…

If you require assistance or have any questions about REDCap, please contact REDCap Support (redcap-support@helsinki.fi). The Helsinki University Library organizes basic training sessions on REDCap. Information about the training sessions.