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
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:
Case Study
Facilitated workshop
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, however, the benefits of better quality data need to reach the whole organisations and that requires a push for organisational change.
In August when we hold the final module of this programme, at least part of the module will be in putting on a showcase of 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!
Plan for the morning:
We’ll start with a case study to get you thinking about data quality issues
Workshop looking at the issues as you experience them.  

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.
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  
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)

8. Workshop 11:15-11:35 Group work 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
Display, have a look at other groups feedback over lunch, if you know of best practice, put you name in the final column.

9. Workshop What needs to change? Who is responsible? Who to engage
Best Practice