Slide 1

Slide 1 text

Data Visualisation & Management David Kelly – Digital Humanities Manager May, 2017 – Experiences & Lessons

Slide 2

Slide 2 text

Overview • Data Visualisation – Selected examples from Whitaker Institute projects • Data collection & management – Experiences & Lessons

Slide 3

Slide 3 text

GalwayDashboard.ie Includes data from: CSO Galway City Council Galway County Council Enterprise Ireland IDA Údarás WDC PRTB EPA Póbal Economic Baseline Assessment for Galway City & County Prof. James Cunningham, Galway City Council, Galway County Council

Slide 4

Slide 4 text

Galway2020

Slide 5

Slide 5 text

Galway2020: Audience data in context (interactive)

Slide 6

Slide 6 text

Cultural Networks Data from interviews with cultural practitioners: • Demographic • Funding • Relationship types • Geographic data Dr. Patrick Collins - Geography

Slide 7

Slide 7 text

No content

Slide 8

Slide 8 text

• Data structure • Merge existing data with data extracted from web sources • Data cleaning • Data enhancement through geo-coding • Web / storage infrastructure • Visualisation outputs http://mapping.creative-edge.eu Dr. Patrick Collins - Geography Data oriented project example

Slide 9

Slide 9 text

Experiences & Lessons

Slide 10

Slide 10 text

Planning & input

Slide 11

Slide 11 text

“Crucially, plan ahead and get technical input early on. Raise awareness among partners of the importance of planning and structure so there’s a will to cooperate” !

Slide 12

Slide 12 text

Talk to developers / designers as early as possible – preferably prior to data collection "

Slide 13

Slide 13 text

Standards & structures

Slide 14

Slide 14 text

“Because we collected the data in Excel it…left quite a bit of room for inconsistences in structure across the data collected” !

Slide 15

Slide 15 text

No content

Slide 16

Slide 16 text

• Agree standards for data structure before any collection – Data collection forms / templates – Various measurement units • date formats • levels of geo-data (city / county / local area / province…) • Abbreviations – Pre-defined categories / vocabularies "

Slide 17

Slide 17 text

No content

Slide 18

Slide 18 text

Pilot

Slide 19

Slide 19 text

“Piloting could help too – taking a small portion of data and seeing how things work in practice. We collected data…that we didn’t do anything with because it was so patchy in places.” “Piloting could help to understand where to focus data gathering, what’s feasible to collect and help test the data gathering format/structure” !

Slide 20

Slide 20 text

• Pilot collection of same data in more than one region – Identify potential inconsistencies early • Experiment with output formats for different stakeholders – User test with stakeholders "

Slide 21

Slide 21 text

Dr Patrick Collins & Dr Aisling Murtagh - Geography

Slide 22

Slide 22 text

Consider outputs

Slide 23

Slide 23 text

“Having a structure around data collection linked to outputs and visualisation is key.” “The exact nature of the desired end-product might not be clear from the start. The structure could need to be re-visited at different stages of development.” “If this kind of process was built in it could also help to establish a clearer idea about the end output and how to achieve it” !

Slide 24

Slide 24 text

• Think about outputs for different audiences – Presentation format – static / interactive, narrative, video, animation, raw data. (Or mixed?) – Formats for open data; are visual outputs downloadable / shareable? – Meta-data associated with various outputs (original sources, years, etc) • Work forward from research plan and backwards from desired outputs – Will you have the data you need, in the format you need, to produce the outputs you want? "

Slide 25

Slide 25 text

No content

Slide 26

Slide 26 text

Display the high-level overview Allow user to explore based on their interests http://mapping.creative-edge.eu/business

Slide 27

Slide 27 text

No content

Slide 28

Slide 28 text

Galway’s Cultural Infrastructure

Slide 29

Slide 29 text

No content

Slide 30

Slide 30 text

Intellectual Property

Slide 31

Slide 31 text

“Thinking about intellectual property within this process is key…when project proposals are put together this doesn’t often get considered deeply and can limit what you can do. “I think it really needs specialist knowledge and can remain a grey area for non- experts. This makes it challenging to balance openness and data protection !

Slide 32

Slide 32 text

• Engage with subject matter specialist early in the planning process • Consider data sources being used, and the impact they may have later in the project "

Slide 33

Slide 33 text

Sustainability & Maintenance

Slide 34

Slide 34 text

• Plan beyond the life of the project – How (or is) the data updated? – Plans for data preservation? – Plans for infrastructure maintenance? "

Slide 35

Slide 35 text

David Kelly [email protected] THB-1011, Hardiman Research Building @davkell www.davidkelly.ie | Thank you