Institutional Repository
IRIS serves as the institutional repository which systematically captures and manages a comprehensive array of information related to the research lifecycle. The information collected can be utilised for various purposes, e.g. institutional reports, staff reviews, etc.
Content Types
IRIS facilitates the capture and recording of a comprehensive array of research-related information for faculty members. It also enables users to link various related records to create an integrated research profile. For instance, you can connect your research outputs with funded projects, awards received, and media coverage related to your work.
The table below outlines the major content types available in the institutional repository. For more details on the specific types and subtypes, please click here.
Content Types | Description | Examples | View/Edit in IRIS |
| Research Profile | Personal profile information |
| View & Edit |
| Applications (Grant Applications) | Research grant applications processed by ORKTS in AIMS on or after 2021, excluding the following:
|
| View only |
| Awards (Awarded Grants) | Contains funding and award date information. Awards and Projects records in IRIS are found in pairs. They are generated from a single project record in AIMS. |
| View only |
| Projects | Record research projects you are a part of. There are two main types of Project records in IRIS:
|
| View only |
| Research Outputs | Record a wide range of your academic publications and other research outputs |
| View & Edit* |
| Professional & Knowledge Transfer Activities | Record a wide range of activities related to research |
| View & Edit* |
| Prizes/Honours | Record prizes/ honours / awards you have received for your work as a researcher |
| View & Edit |
| Press/Media | Media contribution and media coverage on your research work |
| View & Edit |
Initial Data Population and Ongoing Data Collection
IRIS integrates data from both internal systems and external databases. Internally, it synchronises and imports information from internal systems and databases, e.g. CUHK Personnel Information System (CUPIS) and the Academic Information Management System (AIMS). Externally, data can be imported from databases such as Scopus and Web of Science.
The table below illustrates how existing data has been populated into IRIS and how data will be captured and updated after the system launch. For detailed information on data population and system integration, please refer to IRIS Data Population.
Content Types | How the Data is Initially Populated | How the Data is Captured/ Updated from Now On | |||
Existing Data Populated | Migrated from Existing Systems | Mirrored from Existing Systems | Imported from Internal Databases | Manual Input/ Update in IRIS | |
Research Profile | |||||
– Name and Affiliations | Yes | ✓ | No | ||
– Photo, Biography and Research Interests) | Yes | ✓ | Yes | ||
Applications, Awards and Projects | Yes | ✓ | No | ||
Research Outputs | Yes | ✓ | Yes | ||
Professional & Knowledge Transfer Activities | |||||
– Invention disclosures, patent filed, licensing and entrepreneurial activities | Yes | ✓ | No | ||
– Other types of activities | Yes | ✓ | Yes | ||
Prizes/ Honours | Yes | ✓ | Yes | ||
Press/ Media | No | Yes | |||
Data Usage
The information collected in IRIS can be used for the following purposes:
- Keeping Track of Your Research Information
- Record your research outputs
- Document professional and knowledge transfer activities you have undertaken
- Record the recognitions and merits that you have received
- Monitor press and media coverage related to your research
- Provide evidence for your research impact
- Building Your Integrated Researcher Profile to Showcase Achievement
- Connect your information to other relevant records (e.g. linking research outputs with press/media that cited your work)
- Highlight your significant works and recognitions
- Enhance discoverability through the Public Portal
- Annual Staff Review
- Incorporate data for the annual Academic Staff Development Review (ASDR)
- Incorporate data for the annual Academic Staff Development Review (ASDR)
- University Statistics and Institutional Reports
- Provide data to support institutional reports (e.g. CDCF exercise for reporting university statistics and data to the UGC)
- Provide data to support institutional reports (e.g. CDCF exercise for reporting university statistics and data to the UGC)
- Data Analytics
- Inform strategic development and planning initiatives through data analysis
- Inform strategic development and planning initiatives through data analysis