InsightsWelcome to Register Dynamics Insights! Here we aim to keep you up to date with the latest news, reports and findings from the Register Dynamics team. We will be sharing what we can with you about the work we do with data in government and what we’re learning from it.
The four pillars of modern data architecture
In the Internet era, the data problems we have are different. In this first in a series of posts, we’ll examine how the different ways that people create and use data today impacts how we must shape a data architecture.
Uncovering your secret data architecture
Lots of organisations are on a data transformation journey. Most organisations first try to start their data architecture from the middle – but this comes with its own problems. In a talk for ODI Fridays, Simon explains how to find the architecture, untangle it and make it useful for everyone – including why doing it saves you time and money and lets new innovation happen.
Evidence for the National Data Strategy
Register Dynamics made a submission to the National Data Strategy open call for evidence, in which we discuss the difficulties with data that Government faces which could be fixed with a better approach to data infrastructure.
Personal data in Government is broken
Something is very wrong with personal data in Government. Citizens still submit their personal data using paper and pictures of letters, and services bear the burden of low-quality evidence. Why isn’t Government more joined up in it’s data sharing, what are the dangers, and how do we solve this problem once and for all?
Registers.app is now on G-Cloud
Our Register-based products and services are now available on G-Cloud, a public sector procurement framework offered by Crown Commercial Service. Public sector buyers can unlock the benefits of canonical data management more easily than ever before!
Usable data management for everyone
In the early 1980s the spreadsheet transformed the financial and accounting industry. Over the last few years, business has once again begun to change. How are disruptive companies such as Uber and Airbnb reaping the rewards of putting cloud-based data management at the fingertips of their own teams?
Improving how we manage spreadsheet data
Working with GDS, we’ve been looking at how government can save money in business processes through the use of data standards and the interoperability they bring. Since spreadsheets are probably here to stay, we’ve been looking at how to extract structured data from them. We built a tool that takes a simple but messy spreadsheet and extracts tabular data from it.
This is a guest post on the Government Digital Service “Data in Government” blog.
Data Bites: Personal data in Government is broken
Simon discusses his project Personal Data Exchange: a data sharing federation that makes personal data sharing for government services easier, more private and more secure. It aims to make what one department knows available to another department’s service, sharing only what needs to be known for eligibility and making sure citizen data isn’t used for any other purpose. It provides audited, compliant, privacy-preserving and useful data access everywhere, both online and for staff.
Legal trust + technical trust = data trusts
Technical trust and legal trust are both insufficient by themselves to ensure protection of valuable data. Instead we need a vehicle that combines the two to allow data use to be auditable and acceptable practice to be enforcable. In this post we discuss this concept of a data trust, explore what benefits they could bring and how they could be achieved.
Trust and provenance in Open Data with GOV.UK Registers
At a talk for the British Computer Society (BCS) Open Source Specialist Group, Andy and colleague Michaela explains the concepts behind Open Registers and the trust and provenance properties they give to the data they contain.
Putting the trust in data trusts
In order to be able to offer compelling advantages, the control and enforcement powers that data trusts have needs to be high enough that misusing the data in trust is prohibitively difficult. By examining case studies in audit technology, our purpose is to show that cost-effective strong auditing is possible today and encourage others to build things that reduce the cost further in the future.