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 reportin Harsi 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), data sharing, data security and data protection 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 output and intellectual resources.
Haris - Hanken's Research Portal pulls data from the Haris database and gives a comprehensive picture of the research at Hanken. It is also integrated with researchers’ personal Hanken webpages.
For instructions on how to report in Haris see the LibGuide on Haris. You will find information on:
Promote open science by opening and archiving your research data and reusing existing data.
Research data management (RDM) is an integral part of good research practices. It means organization, description, storage, preservation, and sharing of data collected and used in a research project.
Please follow the stages and checklist outlined in data management process at Hanken in the libguide on research data management (RDM). These concrete stages with descriptions, as well as must-dos, in each stage offer students and researchers, respectively, comprehensive and thorough guides that you can trace the whole data management process easily, clearly, and closely.
Research data and related published research results produced at Hanken ought to be open and available for shared use. The openness of research data increases the visibility and impact of your research, and facilitates interdisciplinary collaboration. Optimal use and reuse of archived data improve data repeatability and verifiability, and thus the transparency and reliability of science.
Detailed information on how to write and update a data management plan (DMP), data security and data protection, ethical review, data collection, data storage and backup, and data sharing and preservation is available in the libguide on research data management (RDM).
For help and support for data management plans (DMP), data storage, and data sharing and preservation, contact firstname.lastname@example.org. For questions about ethical and legal matters concerning data protection, contact Hanken's Data Protection Officer email@example.com.