Services for Researchers

The library offers support and tools that facilitate your research in each of your research stage at Hanken:

Haris (Hanken Research Information System) is Hanken’s research database that collects Hanken’s research outputs and intellectual resources. Haris is used to report your research merits and describe your research areas. 

Haris - Hanken's Research Portal Opens in new window pulls data from the Haris database and gives a comprehensive overall picture of the research conducted at Hanken. It is also integrated with researchers’ personal Hanken webpages. 

All the publications from the research conducted at Hanken and externally funded projects need to be registered in Haris. In addition, you can also register activities, prizes, press/media, and datasets in Haris. 

Information registered in Haris is used both for external reporting (Ministry of Education and Culture, accreditations) and for internal allocation of resources and Publication Rewards Opens in new window .

For instructions on how to report in Haris, see the LibGuide on Haris Opens in new window . You will find information on:

Research data management (RDM) means organization, description, storage, and sharing of data collected and used in a research project. Effective and responsible RDM is an integral part and essential requirement of good scientific practices and research skills.

Follow the flowcharts or stages outlined in Data management processes at Hanken Opens in new window  in the LibGuide on RDM to complete your various RDM tasks throughout the data lifecycle. Note that there are two different data management processes with different instructions and templates for BSc/MSc/eMBA students Opens in new window  and for researchers and PhD students Opens in new window , respectively. 

If you collect and process personal data for your studies, thesis, and research, follow the eight procedures in the Guidelines and procedures of personal data processing in research and studies at Hanken in the LibGuide on Research data management (RDM) to maintain high ethical standards and comply with data protection laws.

Research data and related published research results produced at Hanken are made openly available for shared use:

  • Properly documented metadata of research data are published for the findability and reproducibility of the research data. It is recommended to use Fairdata Qvain metadata tool Opens in new window  to describe and publish your (meta)data. 
  • Research data are to be archived and opened in national or international repositories when possible. 
  • Datasets are registered in Hanken's research database - Haris Opens in new window  with the persistent identifiers (PIDs, e.g., DOI and URN) for your metadata (for example, from Qvain) and/or for your datasets in the repository where you have stored or published your datasets. 

In the LibGuide on Research data management (RDM) Opens in new window , you can find detailed information on

For help and support, please contact

For questions concerning ethical review, please contact Hanken's Research Integrity Advisor (

Open science has become a significant movement, both nationally and internationally. It refers to the efforts and mechanisms by which the findability, accessibility and (re)usability of scientific knowledge are promoted in the digital era. It improves the visibility and impact of your research outputs and educational resources, increases the transparency and reliability of scientific research, both empowers and democratizes science. 

Hanken is committed to actively promoting Open science and was among the first research institutions to sign the Declaration for Open Science and Research (Finland) 2020-2025 Opens in new window . Active promotion of open science is included as one of the key elements in Hanken 2030 Long-term Strategy Opens in new window Hanken's Guidelines on Open science and research Opens in new window  was published in 2016 and updated in 2021. 

In the LibGuide on Open science Opens in new window , you can find detailed and updated information on:

For help and support, please contact

Bibliometrics are the statistical analysis of scientific publications – focusing on authors, sources and citations. Bibliometrics help with your selection of your reading lists during your literature review, your assessment of publication channel (e.g., journal and publisher) when publishing your research results, and with research evaluation and dissemination.

In the LibGuide on Bibliometrics Opens in new window , you can find detailed information on


Research database Haris

Margareta Danielsson
+358 (0)40 3521 266

Open science and Research data management (RDM)

Qingbo Xu
+358 (0)50 466 3838