Service for Researchers
The library offers support and tools that facilitate your research in each of your research stage.
The research database Haris is used to report your research merits and describe your research areas. Instructions on how to report in Haris is found in the LibGuide for Haris - Hanken's research database.
You can get support and advice on your research data management (RDM) including how to write and update a data management plan (DMP), ethical and legal compliance, metadata and FAIR data production, and other data management tasks in accordance with legislation and research integrity.
You will also find information about bibliometrics, statistical analysis of scientific publications, which eases your literature review, publication channel (e.g., journal and publisher) assessment, and research evaluation and dissemination.
For information on support for publishing at Hanken, see Publish.
Haris (Hanken Research Information System) is Hanken’s research database that collects Hanken’s research outputs and intellectual resources.
Haris - Hanken's Research Portal 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 Awards.
For instructions on how to report in Haris see the LibGuide on Haris. You will find information on:
Promoting open science by publishing your research (meta)data and reusing existing datasets.
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 essential requirement of good scientific practices and research skills.
Please follow the stages outlined in data management process at Hanken in the LibGuide on Research data management (RDM). Note that there are two different data management processes with different stages and instructions for BSc/MSc/eMBA students and for researchers and PhD students, respectively.
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. Research data are to be archived and opened in national or international repositories when possible. It is recommended to use Fairdata Qvain metadata tool to describe and publish your (meta)data. Qvain is part of the Fairdata services offered by the Ministry of Education and Culture and produced by CSC. Datasets described and published by Qvain metadata tool are transferred automatically to and displayed in Fairdata Etsin (research dataset finder) and the Finnish National Research Information Hub (in Finnish: Tutkimustietovaranto, a service also commissioned by the Ministry of Education and CSC).
In the LibGuide on research data management (RDM), you can find detailed information on
- how to write and update a data management plan (DMP),
- how to handle personal data in research,
- ethical review,
- legal compliance,
- data collection,
- data organizing,
- data storage, backup and transferral,
- Data archival and preservation, and
- metadata and FAIR data production.
For help and support for data management plans (DMPs), data storage, metadata creation, and data sharing and preservation, please contact firstname.lastname@example.org.
For questions concerning data protection, please contact Hanken's Data Protection Officer email@example.com.
For questions concerning ethical guidelines and ethical review, please contact Hanken's Research Integrity Advisor: Anu Helkkula, firstname.lastname@example.org. See Ethical principles and Ethical review in the LibGuide on RDM.
Bibliometrics are the statistical analysis of scientific publications – focusing on authors, sources and citations.
In the LibGuide on Bibliometrics, you can find detailed information on
- citation-based metrics (article-level indicators, journal-level indicators, author-level indicators, and institution-level indicators),
- Altmetrics (or alternative metrics) focusing on the societal impact of research as a complement to traditional, citation-based metrics,
- initiatives of responsible metrics, and
- how to improve the visibility and impact of your research.