Webinar sessions: Court & justice themed datasets

The SAIL Databank, in partnership with the Ministry of Justice (MoJ), invite you to a free three-part webinar series on the theme of “Court & Justice”. These sessions are aimed at anyone interested in learning more about the linked Ministry of Justice datasets available in the SAIL databank, as well as how to apply for access to use them.

All 3 webinars will be delivered free online. This webinars series is offered as part of the ADR Wales Datacise learning platform: an integral part of ADR Wales training and capacity-building programme of work.

Please note that recordings for the sessions will not be available. Participants will need to register to attend one, two, or all three of the sessions, individually.

Book your place now: Datacise Open Learning – you need to sign up individually for each of the sessions you are interested in attending.

Schedule 

Session 1: How to access Ministry of Justice (MoJ) datasets via SAIL Databank

17 May, 10:00-11:30

Live online via Zoom

Session 2: Developing your application for linked Ministry of Justice (MoJ) datasets

20 May, 10:00-11:30

Live online via Zoom

Session 3: Understanding linked Ministry of Justice (MoJ) datasets

21 May, 10:00-11:30

Live online via Zoom

About the datasets

MoJ datasets currently available in SAIL include:

• Magistrates’ courts dataset
• Crown Court dataset
• Prisoner custodial journey dataset
• Probation dataset
• Family court dataset (this has been linked with Cafcass and Census 2021 data)
• Criminal court, prisons and probation linking dataset (this will be replaced by the cross justice system linking dataset)

MoJ datasets that will be shared later this year:

• Refreshed datasets for all of the above covering longer time periods
• Cross justice system linking dataset
• Civil court dataset
• Offender Assessment (OASys) dataset

Event details

Dates:  17 May, 20 May, 21 May 

Where: Live online via Zoom

Registration: Themed Dataset Workgroup – Court & Justice – Datacise Open Learning