1. Data Specialist CPD Programme Module 2 - Welcome
Fiona McLaughlin
University of Leeds

2. Module 2 - Data Management
Welcome Back! #Dataspecialists
9.30 Feedback Session (Scott Keay)
10:30 I Have My Data - What Next?* (Fiona McLaughlin, & Dr Alistair Norman)
12:00 Data Preparation & Introduction to R
(Fiona McLaughlin)
13:00 Lunch
13:45 Data Wrangling with R (Fiona McLaughlin)
14:15 How to Handle Missing Data* (Dr Richard Hodgett)
15:15 Wrap Up – Dr Jude Towers & Fiona McLaughlin
*Breaks included in these sessions

3. Housekeeping
No food or hot drinks in the computer cluster, bottled water only
Sign the sheet being circulated, make a note of your log-in and password
Lunch and refreshments will be served in the break out area, which has been booked out for our use
Toilets, turn left, on the left of this corridor
Fire alarms

4. Scott Keay

5. I Have My Data – What Next?
Objectives:
Identify key data quality challenges, discuss their root causes and share examples of best practice .
To identify key areas needing organisational change to improve data quality.
Output from this session will be captured as notes and shared as a resource through the Data CPD Hub.
Plan:
Facilitated workshop
Fiona
This session looks to explore the challenges of undertaking increasingly complex analyses with data sets that are often less than perfect. However, poor data quality has consequences that go far beyond the scope of data analysis and as such improving data quality is an organisational issue. As data specialists you use data every day, and the depth and breadth of sources you use, makes you the experts in data quality. It is tempting to look to tools clean and process data, however, while this might make your job easier, the benefits of better quality data need to reach the whole organisation and that requires a push for organisational change.
Alistair: Activity theory, conflicts, tensions and conflicts
Fiona:
In August when we hold the final module of this programme, at least part of the module will be about showcasing your learning from the programme. It will be your the opportunity to demonstrate to the leaders, managers and influencers the importance of data analytics. In fact, an ideal opportunity to engage the right people to push for the organisational changes needed to improve data quality!

6. Workshop
Who thinks they spend more time on data preparation than on presenting their findings?
How much time do you spend on data preparation and similar activities? (Looking for data, extracting data, transforming data, loading software, exploratory analysis, etc.)
You’re not alone:
Data scientists spend up to 80% of their time engaged in data preparation (CrowdFlower Data Science Report 2016).
What data scientists want is more support or direction from managers.
Fiona
Hands up if you spend < than 20% of your time on data preparation
What about the other end > 90% of your time (hands up)
30-hands up %-hands up %-hands up %-hands up %-hands up %-hands up,
Try to get an estimate for the whole room

7. Workshop 10:30-11:00 Group work Activity 1:
5 minutes, each of you write down the 3 data quality issues that cause you the most difficulties. (One issue per post-it.)
Activity 2:
25 minutes, in your groups, discuss these issues. What do you think are the root causes? Share best practice if your organisation has done something to improve data quality. (Make notes on the flip-chart.) 
11:00-11:15 Break  
Group work
5 groups (no more than one person per force per group)
11:15-11:30        Comfort break (Facilitators to group post-it notes into themes x4 or 5)
Activity 1: Fiona to explain: Keep it brief, ultimately the goal (by the end of the workshop) is to be able explain the problem, the cause and a potential solution in 30 seconds, “the elevator pitch”. However, for this part of the exercise you are just identifying the top three issues.
Activity 2: Discussion notes, to consider contradictions, tensions and conflicts in the activity system – Alistair to explain

8. Workshop 11:15-11:35 Activity 3, group work, 20 minutes Activity 3:
20 minutes, each group has been given a theme and a template. What actions are needed to make organisational change? Who is responsible? Who do you need to influence? If you have examples of best practice, put your name in the final column.
11:35-12:00 Feedback from groups
What needs to change?
Who is responsible?
Who to engage
Best Practice
Activity 3: 20 minutes, each group has been given a theme and a template.
What actions are needed to make organisational change? To improve data quality, what are the things that need to change (make it brief, something that you can explain in 30 seconds!) About 3 or 4 actions in total, quality rather than quantity
Who is responsible? the practical responsibility for doing something better: e.g. if it is a data capture issue then the people who record the data might be responsible, call handlers, patrol officers, if it is a software issue is it about training, is it about redesign?
Who to engage, who has the organisational influence and or power to make this happen? Who do you want to make your 30 second pitch to?
Best practice: has your force done something about this already who could the DA strand get in touch with to find out more? Put your force’s name in the final column & better still a contact name from your force
Display flipcharts, ask participants to have a look at other groups feedback over lunch, and if they know of best practice, to add their force or even better a contact name the final column.