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Open science

Hanken's guidelines on open and FAIR research data

Hanken adheres to responsible data management practices and ensures the management and sharing of research data in accordance with legislations and research integrity.

Hanken endeavours to ensure the findability and citability of the research data produced and used by the school’s researchers, while sees to that the degree of data openness and sharing is ethically and legally justifiable. Hanken encourages that research data and related published research results produced at Hanken are published open and available for shared use and beneficial to the society after the data creators and collectors have benefitted from the data; that is, sufficient first-user privileges are ensured for data creators and collectors.

The goal of the guidelines on open and FAIR data is to make the research data publicly available. If the open accessibility of a dataset is not possible for justified reasons, the metadata of the dataset is published openly available in a Finnish or international data finder. Research datasets are registered in Haris with the persistent identifiers (e.g., DOI and URN) for the (meta)data.

Hanken recommends researchers to use Fairdata Qvain metadata tool, offered by the Ministry of Education and Culture and maintained by CSC, to describe and publish (meta)data, in order to ensure that data are richly and systematically documented and properly managed in line with the FAIR data principles.

Researchers draw up a data management plan (DMP) at the planning stage of the research and update it as the research evolves. A DMP is a formal document that specifies how the research data are handled during and after a research project, and identifies the key actions to be taken to ensure that the research data are probably managed and go FAIR. It describes the essential properties of the research data, measures for maintaining high ethical standards and complying with relevant legislations, data ownership and access rights, planned lifespan of the data, and a plan for publishing the data. Researchers can use Hanken’s DMP template or other Public DMP templates (with Hanken's DMP guidance integrated) in DMPTuuli to write and update a DMP. See DMPTuuli with Hanken's DMP guidance and DMP template in the LibGuide on Research data management (RDM).

For the secure storage and backup of active research data during usage, researchers use data storage services provided and maintained by Hanken, including the researchers’ own account on the Hanken network like H:\, Microsoft Office365 applications (e.g., Onedrive for Business), Webropol or SPSS, and/or services provided by CSC such as IDA which is also for data archival. Established infrastructures are a more secure alternative for storing research data than, for example, the hard disc on the researcher’s personal computer, both in terms of data security and from a confidentiality perspective.

For archiving research data, Hanken uses external infrastructure that is maintained by CSC, the Finnish Social Science Data Archive (FSD) or international bodies, which can be easily linked to Hanken’s infrastructure systems.

Hanken recommends researchers to use the Fairdata services, offered by the Ministry of Education and Culture and produced by CSC, for data management, data storage and archival (IDA), metadata creation (Qvain), dataset dissemination and retrieval (Etsin), as well as digital preservation of research data (PAS). The Fairdata services are integrated with the Finnish National Research Information Hub.

The degree of openness of the research data may be restricted and vary for justified reasons. When defining appropriate access rights (open, embargoed or restricted) to the research data, researchers shall take into account the protection of personal information, trade secrets and other confidential data, and compliance with intellectual property agreements and funders’ requirements and publishers’ data policies.

Creative Commons CC BY 4.0 license is recommended for published datasets when possible. The attribution terms of Creative Commons licenses ensure that creators of research data are credited. Properly managed and openly published (meta)data with appropriate licenses enable and facilitate shared use.

Agreements on data ownership, rights of use and other intellectual property rights (IPRs) need to be concluded before commencing any actual research activities. Researchers can use Hanken’s template for the agreement on the ownership, data transfer obligation and governance of the research data. The researcher who created copyright-protected work is the holder of copyright.

When publishing (meta)data, researchers who have produced the research data at Hanken name Hanken and their organisational units as their affiliation.

When openly accessible archived datasets are reused, good practices for the attribution of authorship and data citation shall be followed.

Hanken guarantees sufficient resources for services related to data management, and offers guidance, training and support for drawing up data management plans (DMPs), data collection and organizing, data storage and backup, data sharing and preservation, and optimal use and reuse of archived data throughout the research process. Training and support are also provided for identifying and resolving ethical and legal issues involved in research data including data protection regulations, data-sharing agreements, data ownership, data rights transferal, open data licenses, secondary data usage copyright permissions and other intellectual property rights (IPRs) issues.

Data management process at Hanken and open accessibility of research data

Open data Picture: SciELO in Perspective

Researchers can follow the stages outlined in Data management process at Hanken in the LbGuide on Research data management (RDM) to complete the data management process that cover the whole research data lifecycle. Note that there are two different data management processes with different instructions for BSc/MSc/eMBA students and for researchers and PhD students, respectively.  

Data management skills are understood as essential research skills. Appropriate data management and carefully organized and described research datasets that are published for data retrieval and reuse are recognised as part of a researcher’s academic merits. For data sharing and publishing, it is important to do the following: 

  • Write and update a data management plan (DMP) that describes how and what research data will be handled during and after the research project and elaborates the key measures for ethical and legal compliance and FAIR data production. 
  • Organize data with sensible naming convention, well-organised folder structures, clear version control, and standard, interchangeable and non-proprietary data formats to ensure data reusability. See Data formats and organizing.
  • Describe and publish the metadata of your data. It is recommended to use Fairdata Qvain metadata tool offered by the Ministry of Education and Culture and maintained by CSC. See Metadata and data documentation
  • Archive and publish research data in national or international repositories when possible. See data sharing and preservation.
    • Define an appropriate access type (open, embargoed or restricted) to research data based on the feature of the data, your research process, need for the protection of trade secrets and other confidential data, and intellectual property agreements, as well as funders’ and publishers’ requirements.
    • Use a license when opening your data for reuse to define the reuse terms and possible restrictions. It is recommended to use Creative Commons CC BY 4.0 license. See Legal compliance
    • Data with personal information can only be opened anonymized. See Anonymisation and Personal Data by the Finnish Social Science Data Archive (FSD).
  • Register your dataset in Haris and add the persistent identifiers (e.g., DOI and URN) for your (meta)data.

Information on RDM is available in Hanken's LbGuide on Research data management (RDM) including

Open research methods

Hanken's Guidelines on open research methods

Hanken recommends that protocols, methods and software codes are shared openly, even when implemented with proprietary tools, to guarantee the transparency and replicability of data collection and analysis process.

Hanken encourages researchers to explain, document, and share the protocols and methods used in the research so that they can be reused and further developed and that the research outputs can be easily reproducible. Researchers can use protocol and method repositories such as Open Science Framework and GitHub, and enter the link obtained from the repositories in Haris.

Instructions and advice are under development. Hanken is monitoring the developmental work at the national level. The national policy component on open research methods, including codes and software, is estimated to be completed in 2022.