Workshop Schedule: Tuesday, May 31
All workshops will be held at the UBC Vancouver campus. Please allow plenty of time for your pleasant trip out to the UBC campus on Public Transit. ( Refer to the travel information located at the bottom of this page )
|9:30-12:30||WA1||Free Stars in the Data Universe - AKA – Open Sources of Data
Presenters: Jane Fry & Wendy Watkins
|B25 Woodward Library|
|WB1||ICPSR at 50: Facilitating Research and Data Sharing
Presenters: Peter Granda, Director, Mary Vardigan & Linda Detterman
|318 Irving K. Barber Learning Centre|
|WC1||Sharing Data with DDI 3 and Colectica
Presenters: Jeremy Iverson & Dan Smith
|B126 Buchanan Building Block B|
|WD1||Thematic Mapping of U.S. Census Data in ArcGIS
Presenter: Nicole Scholtz
|115 Geography Building|
|WE1||Helping empower researchers and their institutions to manage and share research data
Presenters: Louise Corti & Bethany Brett
|216 Walter C. Koerner Library|
|12:30-13:30||Lunch (no host)|
|13:30-16:30||WA2||Basic Principles of Survey Design
Presenters: Thomas Lindsay, Andrew Sell & Michelle Edwards
|318 Irving K. Barber Learning Centre|
|WB2||Guiding Researchers through the Array of Roper Center Services
|WC2||Prepare and publish multilingual metadata and aggregate data in Nesstar. Embed live data into your website.
Presenter: Ørnulf Risnes
|217 Walter C. Koerner Library|
|WD2||Introduction to R
Presenters: Ryan Womack & Harrison Dekker
|B126 Buchanan Building Block B|
|WE2||Developing Effective Data Management Plans using DMP Online
Presenters: Martin Donnelly & Sarah Jones
|B25 Woodward Library|
|18:00-20:00||Reception||1400-1430 Joseph & Rosalie Segal Centre, Harbour Centre|
Section A: Data Sources & Surveys
WA1: Free Stars in the Data Universe - AKA – Open Sources of Data
All Canadian universities (and some colleges) are member of the Data Liberation Initiative (DLI) of Statistics Canada. This rich resource answers many of the data questions from our clients – but not all of them! This workshop will show you other stars in the data universe. And keeping in mind the budget restrictions under which many of us operate, we will be concentrating on the open data sources, that is, the free data resources, that are out there.
We will be examining open data sources from various countries, with a focus on Canada. Some of the areas we will look at are: social surveys; election surveys; socio-economic country level data; public opinion polls; geographic and environmental information; and student financial surveys.
The workshop will be part presentation and part hands-on so the participant will be able to examine these data stars themselves. Another component will be the participants showing us any open data sources that they want to share.
WA2: Basic Principles of Survey Design
Thomas Lindsay, University of Minnesota
Andrew Sell, University of Minnesota
Michelle Edwards, University of Guelph
What makes a good survey? This interactive workshop will explore the basic tenets of survey design for an audience of data professionals who are not familiar with survey design principles.
In the course of the workshop, participants will work with each other and with the leaders to design a simple feedback instrument from beginning to end. Though the primary focus of the workshop will be on instrument design, the group will start by addressing the research questions that drive instrument creation and will work first to formulate a cogent set of research objectives and analytical goals to reach those objectives. With these objectives and goals established, participants will create a focused questionnaire designed to meet them.
Using principles largely based on the theoretical work of Dillman and Krosnick, the leaders will guide participants through the various question types and answer methods to explain when and why survey designers use various question types and structures. Working collaboratively in small groups and as a large group, we will start with larger issues of bias, fatigue, and order effects, and will work in to narrower specific issues such as likert scale polarity and how to word scale items as we create a basic survey instrument. Finally, we will briefly discuss issues of usability testing, recruitment, and analysis.
Section B: Data Archives
WB1: ICPSR at 50: Facilitating Research and Data Sharing
Peter Granda, Director, Collection Development, ICPSR
Mary Vardigan, Director, Collection Delivery, ICPSR
Linda Detterman, Assistant Director, Collection Delivery, ICPSR
Presented by ICPSR, this workshop will provide instruction in three primary areas including data exploration tools, data sharing, and data management.
Participants in the workshop will learn to employ unique approaches to explore and teach with data using two of ICPSR’s most popular data tools: 1) The Social Science Variables Database (SSVD), enabling the data community to search for variables across datasets, and 2) the Bibliography of Data-Related Literature, a continuously-updated database of tens of thousands of citations to publications using data held in the ICPSR’s collections.
Next participants will explore upcoming Census Data 2010 data products available at ICPSR as well as data and distinctive offerings found within several of ICPSR’s publicly accessible data collections.
Lastly, as ICPSR begins to celebrate its 50th year as a member of the global data community, the workshop will turn to current and future data management strategies by sharing ICPSR’s experience in preparing data management plans, computing and data sharing in secure environments, and administering restricted data contracts electronically.
Section C: Using DDI
WC1: Sharing Data with DDI 3 and Colectica
Colectica is a platform for documenting and sharing data using open standards such as DDI 3.
This workshop covers the following topics:
- Introduction to DDI 3-based data sharing
- Hands on tutorial
- Document concepts and general study design
- Design and document surveys
- Share questions with question banks
- Create and document datasets
- Share variables with variable banks
- Ingest existing datasets, variables, and questions
- Publish data documentation on the Web
WC2: Prepare and publish multilingual metadata and aggregate data in Nesstar. Embed live data into your website.
A new version of Nesstar, Nesstar 4.0, with a lot of new functionality has recently been released. The metadata editor and publishing tool Nesstar Publisher is now also made available as freeware.
The new version includes, among other things, support for multilingual metadata, powerful support for aggregate data, subscriptions/notifications, cell notes/missing data symbols, and embedding of live data into web pages.
This workshop will be a hands-on one, and participants will learn how to use Nesstar to:
1) Prepare and publish survey data with multilingual metadata
2) Produce, prepare and publish aggregate data (cubes)
3) Notify subscribing users about changes in the published material
4) Add thematic mapping capabilities to microdata and aggregate data sets
5) Embed tables, analyses, charts and thematic maps into ordinary web-pages
Section D: GIS & R
WD1: Thematic Mapping of U.S. Census Data in ArcGIS
ArcGIS software is a great tool for making customized maps and doing spatial analysis, but it has a fairly steep initial learning curve. In this hands-on workshop you will gain skill and confidence in creating a very specific kind of map: a thematic map with current or historical U.S. Census data, similar to those made in Social Explorer and SimplyMap.
We will also review some basic concepts fundamental to geographic information systems (GIS). You will learn appropriateness of various free census tabular and spatial data resources and practice downloading and preparing data for use in ArcGIS. You will join tabular data to spatial data and create thematic maps. We will troubleshoot common projection and join issues, learn best practices for classification and color ramps, and practice adding context layers such as roads and place names. We will create map layouts suitable for export in a variety of file formats.
We will look at scenarios which might lend themselves to using ArcGIS and discuss the appropriateness of this and other mapping tools.
WD2: Introduction to R
R, the open source statistical environment, is growing rapidly in use and increasing in visibility. R is one of 7 Computing Languages on the Rise, has been profiled in the New York Times, and will be featured in an upcoming issue of Forbes. This program will begin with an introduction to R, its features, and the characteristics that have led to its popularity in the data world. Hands on work will introduce R programming, data manipulation capabilities, basic statistical operations, and graphing functionality. Add-on packages, including graphical interfaces and data mining tools, will be illustrated. Finally, the workshop will discuss how R is being used with "big data", interacting with databases and large data feeds to perform analysis.
Section E: Research Data Management
WE1: Helping empower researchers and their institutions to manage and share research data
In this workshop we will showcase the materials we have produced at the UK Data Archive as part of our support and outreach work on managing research data from the social sciences. The areas we are focusing on are: consent and ethics; IPR; data description and data formatting.
The workshop will use a combination of ppt presentations (reflecting materials given to researchers and support staff) and hands-on activities such as: assessing and evaluating authentic consent forms for data sharing; anonymisation exercises; and assessing data formats such as interview transcription. Participants will learn about practical strategies that can help research centres or hubs set up in-house procedures to manage their own live project and legacy data. The workshop will showcase how the UK Data Archive has worked with: 1) Research Ethics Committees to help them appreciate how to accommodate data protection vs data sharing in their own advice, and 2) Continuous Professional Development training programmes within institutions to support core skills of data handling and data security; and 3) PhD and early career research training courses to support data awareness and data management.
WE2: Developing Effective Data Management Plans using DMP Online
In 2010 the US National Science Foundation (NSF) announced that it will mandate the inclusion of a data management plan with all new funding applications. The NSF is not alone in its efforts to improve accountability for data management, and we are beginning to see Research Councils and funding bodies around the world seeking evidence that adequate and appropriate provisions for data management and curation have been considered from the earliest stages of any publicly-funded activity.
The Digital Curation Centre has developed DMP Online, a Web-based data management planning tool that assists researchers in creating personalized data management plans to meet specific funders' requirements. DMP Online has three main functions: to assist researchers in the preparation of basic data management plans at the grant application stage; to help them build and maintain a more detailed DMP during the project's lifetime; and to enable customized reporting of these activities.
This workshop will provide participants with:
- An introduction to DMP Online and related resources;
- The chance to work through the development of a plan drawing upon their own experience;
- Opportunities to share data management concerns and experiences.
To travel between the Harbour Centre and UBC for workshops, allow 55 minutes or more by bus. There are a two easy options:
#44 UBC bus from W Cordova and Granville (one block NW from the Harbour Centre, in front of the Waterfront Station) . During peak times, the 44 comes about every 10 to 15 minutes, and takes about 35 minutes to arrive at UBC.
#14 UBC bus from W Hastings and Richards (directly outside of the Harbour Centre). During peak times, the 14 comes about every 10 to 15 minutes, and takes about 40 minutes to arrive at UBC.
The UBC Workshop Map available here ( http://www.rdl.sfu.ca/IASSIST/images/uploads/editors/UBC_map_noLaw.pdf? ) highlights the locations of the workshops on the UBC campus, and the location of the two bus loops. The campus is large, so allow a few minutes for walking to your building.
Fares are $2.50 (CND), and exact change is needed.
From UBC to the Harbour Centre, #44 Downtown bus is the best option. It departs from UBC Loop Bay 5 about every 10 minutes, and takes about 31 minutes to arrive downtown at Seymour and Hastings, about a half a block NW of the Harbour Centre.