Facilities and Services
Self-service Data Platform of HA Data Collaboration Laboratory


The Self-service Data Platform offered by the HA Data Collaboration Laboratory (HADCL) of the Hospital Authority (HA) was introduced in March 2020 with an aim to enable researchers from Universities to draft hypothesis and proposals, and conduct research studies by using the high-quality sample data and an advanced statistical analytic platform, Statistical Analysis System (SAS), provided. Researchers can make use of SAS in HADCL to draw inspiration for health big data research from the sample data by themselves.

Types of Data Available

The sample data is composed of structured data from around 200,000 patients randomly selected from the patient populations of 2007 and 2017, stratified by age and gender, which include:

  • Demographic characteristics
  • Attendance records to hospitals or clinics
  • Clinical diagnosis, procedures, medication and laboratory results
  • Radiology examination results
Target Users & Prerequisites

Target users

Academic researchers from UGC-funded universities who would like to

  • draft research hypothesis / proposal but do not have experience using HA clinical data
  • make research study by using the sample data provided*

*Ethics approval will be required for research study and/or publication using the sample data in the Self-service Data Platform.

 

Prerequisites

Applicants for accessing Self-service Data Platform should be / have

  • currently an academic researcher / academic staff / research postgraduate student from one of the UGC-funded universities,
  • University degree,
  • knowledge about SAS tools and programming skills, and
  • basic understanding of HA clinical systems and data
Applications

Each applicant can choose to access the HADCL Self-Service Data Platform from the Hospital Authority (HA)’s Kowloon Bay location or the HKU-HA Data Collaboration Laboratory (HKU-HADCL), a remote access site located at the HKU Medical Campus. Please visit the below sections for respective application and access procedures for the two sites.

For more details of the service, please visit HADCL website or email hadcl@ha.org.hk for enquires.


HKU-HA Data Collaboration Laboratory (HKU-HADCL)

 

Service Hours

Mondays – Fridays (except Public Holidays): 9:00am – 5:30pm

 

Venue

LLG-02, Laboratory Block, 21 Sassoon Road

 

Application and access procedures

  1. Interested HKU researchers are required to fill in the application form, a confidentiality undertaking and HA’s remote access application form, and send the completed and duly signed forms (in scanned copies) to hadcl@hku.hk.
  2. HA reviews and approves the applications, and informs successful applicants (around 2 – 3 weeks).
  3. The Faculty Office will notify successful applicants for remote access to book access to HKU-HADCL via the Online Booking System; a maximum of 5 access days can be booked.
  4. The Online Booking System assigns specific computer within remote site to applicant and allows site access during specified timeslots; unique login to the assigned computer will be generated.
  5. HA creates database logins and inform successful applicants directly.
  6. Successful applicants will be required to bring their staff/student card to the Faculty Office, 6/F, William MW Mong Block, Sassoon Road 21 for registration during the assigned timeslot. Your staff/student card will be kept by the Faculty Office until you sign out.

 

Please refer to the Usage Policies and Guidelines of HKU-HADCL for more details on the application.

For enquiries related to HKU-HADCL, please contact the Faculty Office of the LKS Faculty of Medicine at hadcl@hku.hk.


HA Data Collaboration Laboratory (HADCL)

 

Service Hours

Mondays – Fridays
9:00am – 8:00pm

Saturdays
9:00am – 1:00pm ; 2:00pm – 8:00pm

Closed on Sundays and public holidays

 

Venue

7/F, Kowloonbay International Trade & Exhibition Centre, 1 Trademart Drive, Kowloon Bay, Hong Kong

 

Application and access procedures

  1. Interested HKU researchers are required to fill in the application form and a confidentiality undertaking, and send the completed and duly signed forms (in scanned copies) to hadcl@hku.hk
  2. HA reviews and approves the applications, and informs successful applicants (around 2 - 3 weeks)
  3. Successful applicants make access request via the data sharing portal provided by HA; a maximum of 5 access days can be booked
  4. HA confirms booking and inform successful applicants of the results of access requests and database logins
  5. Successful applicants will be required to bring valid identification proof to HADCL in Kowloon Bay during the assigned timeslot for access to the laboratory
Health Data Collaboration Projects 2023

Hospital Authority Data Collaboration Lab (HADCL) is inviting applications for 2023 Health Data Collaboration Projects which offer access to de-identified health data of more than 25 years, AI and Machine Learning Platform, and data domain experts from the Hospital Authority for big data/AI research.

 

The assessment of the proposals for the health data collaboration projects will be based on the following criteria:

  • For public good
  • Readiness of requested data and tools

 

Interested researchers may submit their applications for Data Collaboration Project via Application webpage on or before 15 December 2022 (Thu), and visit the FAQ webpage for some tips of proposal submission. More information could be found in Data Collaboration Project.

Should you have any enquiry, please send an email to hadcl@ha.org.hk.