Programme and schedule:
DLI Ontario Fall Training - December 7-8, 2016

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Arrivals and Refreshment
Location: SLC 508

Welcome/Announcements
Location: SLC 508

DLI Update
Chantal Ripp, Statistics Canada
Location: SLC 508

Short Product Reviews
Leanne Trimble, University of Toronto
Location: SLC 508

Product Review – Overall Impact of Changes
Jane Fry, Carleton University; Kristi Thompson, University of Windsor
Location: SLC 508

Concurrent sessions:

Session 1A: PCCF+ Postal Code Conversion File Plus – An Introduction
Jeff Moon, Queen's
Location: GMDC lab, library main floor

If you’re wondering what the PCCF+ is and how to make it work, this presentation is for you. We focus on the components of the PCCF+ package, and the simple steps needed to match your Postal Codes to Census geography… and why you’d want to do this.

Session 1B: Accessing DLI Data Using Scholars Portal Data Services
Amber Leahey and Kevin Worthington, Scholars Portal
Location: ILC lab, library main floor

The topics covered in this presentation will include an overview of <odesi>, Scholars GeoPortal, and Dataverse. We will review searching the DLI and RDC Master Files collections, accessing DLI aggregate data (now open to anyone), developments on new <odesi> downloading workflows, access to and visualization of historical Census Boundary Files, as well as, new integrations between <odesi> and Canadian Dataverses. This will be an opportunity to catch up on SP Data Services and offer up your own ideas and suggestions for future development.

Concurrent sessions:

Session 2A: PCCF+ - Next Steps
Vince Gray, Western University

Location: GMDC lab, library main floor

So, you have successfully matched your postal codes to geographic information from the PCCF+ (or PCCF) – Congratulations! But now what? The process probably isn’t complete – now you almost certainly have to match those geographic codes to data. You or the person you are helping may want to map the data, or to use data to either determine characteristics of the identified areas or to determine whether those characteristics match those captured in the sample. We will use a variety of tools in this class. To extract data, we will use Beyond 20/20 and the CHASS Census Analyzer. To reformat the geographic codes, we will use OpenRefine and/or Excel. We will map them using ArcGis, and do some basic comparisons of statistics using SPSS.

Session 2B: Visualizing DLI data: The Quick and Dirty Way
Lucia Costanzo, University of Guelph

Location: ILC lab, library main floor

Researchers are frequently using visualization tools to visualize large amounts of data. Data visualizations are a quick way for researchers to illustrate trends or concepts found in survey data. This hands-on workshop will give participants experience with creating visual summaries of various types of survey questions using Tableau.

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Arrival& Refreshments
Location: SC 508

Welcome
Housekeeping

Concurrent sessions:

Session 1A: PCCF+ Postal Code Conversion File Plus – An Introduction
Jeff Moon, Queen's
Location: ILC lab, library main floor

If you’re wondering what the PCCF+ is and how to make it work, this presentation is for you. We focus on the components of the PCCF+ package, and the simple steps needed to match your Postal Codes to Census geography… and why you’d want to do this.

Session 1B: Accessing DLI Data Using Scholars Portal Data Services
Amber Leahey and Kevin Worthington, Scholars Portal
Location: GMDC lab, library main floor

The topics covered in this presentation will include an overview of <odesi>, Scholars GeoPortal, and Dataverse. We will review searching the DLI and RDC Master Files collections, accessing DLI aggregate data (now open to anyone), developments on new <odesi> downloading workflows, access to and visualization of historical Census Boundary Files, as well as, new integrations between <odesi> and Canadian Dataverses. This will be an opportunity to catch up on SP Data Services and offer up your own ideas and suggestions for future development.

Concurrent sessions:

Session 2A: PCCF+ - Next Steps
Vince Gray, Western University

Location: GMDC lab, library main floor

So, you have successfully matched your postal codes to geographic information from the PCCF+ (or PCCF) – Congratulations! But now what? The process probably isn’t complete – now you almost certainly have to match those geographic codes to data. You or the person you are helping may want to map the data, or to use data to either determine characteristics of the identified areas or to determine whether those characteristics match those captured in the sample. We will use a variety of tools in this class. To extract data, we will use Beyond 20/20 and the CHASS Census Analyzer. To reformat the geographic codes, we will use OpenRefine and/or Excel. We will map them using ArcGis, and do some basic comparisons of statistics using SPSS.

Session 2B: Visualizing DLI data: The Quick and Dirty Way
Lucia Costanzo, University of Guelph

Researchers are frequently using visualization tools to visualize large amounts of data. Data visualizations are a quick way for researchers to illustrate trends or concepts found in survey data. This hands-on workshop will give participants experience with creating visual summaries of survey data using Tableau. The workshop will cover how to visualize various types of survey questions.

Location: ILC lab, library main floor

2016 Census Dissemination – Release Strategy and Products & Services Line

• Glen Hohlmann, 2016 Census Dissemination Project Manager, Statistics Canada
• Paul Schwets, Head, Dissemination Services, Statistics Canada
• Mary-Lynne (Mini) Reid, Census Release Manager & Chief – Product Design, Production and Dissemination Services, Statistics Canad

Location: SLC 508

Short Product Reviews
TBA
Location: SLC 508

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