The Ministry of Justice (MoJ) launched its Data Strategy in August 2022 and since then we’ve been making progress against the goals we set out. We’re also looking to the future - planning our roadmap for the next three years to deliver critical data improvement work and understanding how we will monitor and measure our progress.
In this post we’ll look at our work in the MoJ, and in the next blog we’ll share plans for data improvement in the wider criminal justice system.
Better data and skills to enable better decision-making
Data underpins our work in delivering justice outcomes. It helps us measure the impact of policy interventions, gives us operational insight into prisons and probation, and deliver better services for our users – along with so much more. Yet too often, our data is fragmented, hard to share and not exploited to its fullest extent.
The Data Improvement team is focused on improving the quality of data, access to data and the data skills of staff, so that MoJ and the wider criminal justice system will make better decisions based on data and improve the outcomes for the millions of people that rely on the justice system.
We are creating the foundations for our colleagues – in data science, data linking, analysis, operations and more – to be able to deliver the data-driven insight the MoJ relies on.
Our three-year strategy
Our roadmap outlines our data improvement strategy for the next three years. As with any roadmap, we have most confidence about the activity that’s coming up in the near future, and our work in the next few months will inform our work over the coming years.
Phase 1 – Prototyping
Following on from our discovery work, we’ve been developing prototypes of processes and tools to improve data quality, access to data and data skills. For the next few months, we’ll continue to test these solutions with users and iterate them. We will:
- Test our data management policies (including data quality, data ownership, data standards and data cataloguing standards) by initially selecting one dataset in MoJ and working to measure and improve the quality of that data.
- Support the Electronic Monitoring team to access and collect high quality data and feeding data requirements into new systems. Embed data management principles including ways to manage data issues through improvements to process and governance. You can read the full Electronic Monitoring data improvement plan here.
- Improve our strategic approach to data architecture across MoJ by hiring data architects.
- Put in place a new MoJ Data Board that will report to our Executive Committee and ensure we’re getting senior stakeholder input into our work.
- Work with Digital teams and Data and Analysis colleagues to refine the process by which data user needs are considered for new projects and changes to existing products, and improve the quality and reliability of data that analysts have access to.
- Test our new approach to publishing statistics in a more efficient way and which better meets user needs, and putting it into production on two publications.
- Work with Learning & Development teams to improve data skills for two cohorts within MoJ and support that with cultural nudges and interventions, further testing our data proficiencies tooling and our data culture framework.
Phase 2 – Learning by doing
Next, we need to build up our improvement toolkit, by testing our ideas with more partners. From the middle of 2024, we’ll draw together our different prototypes and strands of work on exemplar end-to-end services or datasets. We will:
- Select a small number of pilot areas and test our approach to data management, data literacy, data culture and stakeholder engagement:
- Roll out the data governance operating model more widely, starting with the data ownership solution, and embed that in the culture of the team and support it with data governance training.
- Deploy our data quality, data standards and data cataloguing procedures, and align that with literacy training and cultural interventions to improve quality of data captured.
- Automate processes for collecting and using Electronic Monitoring data, and use linked data and data science tools to inform evaluation and policy.
- Work with L&D teams to identify skills gaps and improve data skills.
- Work closely with our Digital colleagues to develop a data catalogue MVP to make it easier to find data, understand the level of data quality, and the ownership and lineage.
- Deploy a new Top of the Office Tool to modernise current performance reporting to MoJ’s executive committee, enabling better access and enhanced insight to priority key performance indicators.
- Provide additional visualisation and data journalism training and tools to analysts and leaders so they are better able to tell impactful stories using data.
- Establish a Data Sharing team and framework to increase the number of data shares that happen to support our analysis and data science work, and reduce the amount of time it takes to negotiate each one by implementing a simpler internal process.
Phase 3 – Scaling by empowering others
Once we have confidence in our approach and our skills, we can support other teams to lead within their own area. We can enable them to use their subject matter expertise and our processes and tools, alongside our advisory and consultancy support, to solve problems for themselves. We expect this phase to start in mid-2025.
Talk to us
Getting the fundamentals right in data is an important topic and there are growing number of government teams working on these complex issues. If you’re looking into any of these issues or solutions, please get in touch so we can continue to collaborate across the criminal justice system and public sector, and share lessons learned.
To deliver this ambitious programme, we’ll need passionate data professionals to join our growing team. If you’re interested in working with us to solve some knotty problems, keep an eye on Civil Service Jobs or email us for an informal chat.
Leave a comment