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Studies: 1935 | Downloads: 41310
Description:

The Labour Force Survey provides estimates of employment and unemployment which are among the most timely and important measures of performance of the Canadian economy. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released.

The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these.

LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, wage rates, union status, job permanency and workplace size are also produced. For a full listing and description of LFS variables, see the Guide to the Labour Force Survey (71-543-G), available through the "Publications" link above.

These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector.

Important note -- 4 August 2017

Labour Force Survey (LFS) data from January 2017 – July 2017 contained errors with numerical variables. Variables such as HRLYARN and UHRSMAIN were missing decimal place holders. As such, their values were off by a factor of 100. The issue has been addressed and the data for the year re-released

Production Date:January, 2017
Producer:Statistics Canada (Statcan)
Distribution Date:February, 2017
Distributor:Statistics Canada (Statcan)
hdl:11272/10439
47 downloads + analyses
Last Released: Aug 4, 2017
Description:

The Employment Insurance Coverage Survey provides a meaningful picture of who does or does not have access to EI benefits among the jobless and those in a situation of underemployment. The survey also covers access to maternity and parental benefits.

The main purpose of this survey is to study the coverage of the employment insurance program. It provides a meaningful picture of who does or does not have access to EI benefits among the jobless and those in a situation of underemployment. The Employment Insurance Coverage Survey also covers access to maternity and parental benefits.

The survey was designed to produce a series of precise measures to identify groups with low probability of receiving benefits, for instance, the long-term jobless, labour market entrants and students, people becoming unemployed after uninsured employment, people who have left jobs voluntarily and individuals who are eligible, given their employment history, but do not claim or otherwise receive benefits. The survey provides a detailed description of the characteristics of the last job held as well as reasons for not receiving benefits or for not claiming.

Through the survey data, analysts will also be able to observe the characteristics and situation of people not covered by EI and of those who exhausted EI benefits, the job search intensity of the unemployed, expectation of recall to a job, and alternate sources of income and funds.

Survey data pertaining to maternity and parental benefits answer questions on the proportion of mothers of an infant who received maternity and parental benefits, the reason why some mothers do not receive benefits and about sharing parental benefits with their spouse. The survey also allows looking at the timing and circumstances related to the return to work, the income adequacy of households with young children and more.

Producer:Statistics Canada (Statcan)
Distribution Date:November 16, 2016
Distributor:Statistics Canada (Statcan)
hdl:11272/10412
15 downloads + analyses
Last Released: Jul 20, 2017
Description:

The main purpose of this survey is to study the coverage of the employment insurance program. It provides a meaningful picture of who does or does not have access to EI benefits among the jobless and those in a situation of underemployment. The Employment Insurance Coverage Survey also covers access to maternity and parental benefits.

The survey was designed to produce a series of precise measures to identify groups with low probability of receiving benefits, for instance, the long-term jobless, labour market entrants and students, people becoming unemployed after uninsured employment, people who have left jobs voluntarily and individuals who are eligible, given their employment history, but do not claim or otherwise receive benefits. The survey provides a detailed description of the characteristics of the last job held as well as reasons for not receiving benefits or for not claiming.

Through the survey data, analysts will also be able to observe the characteristics and situation of people not covered by EI and of those who exhausted EI benefits, the job search intensity of the unemployed, expectation of recall to a job, and alternate sources of income and funds.

Survey data pertaining to maternity and parental benefits answer questions on the proportion of mothers of an infant who received maternity and parental benefits, the reason why some mothers do not receive benefits and about sharing parental benefits with their spouse. The survey also allows looking at the timing and circumstances related to the return to work, the income adequacy of households with young children and more.

Production Date:2016
Producer:Statistics Canada (Statcan)
Distribution Date:March 08, 2016
Distributor:Statistics Canada (Statcan)
hdl:11272/10346
8 downloads + analyses
Last Released: Jul 20, 2017
Description:

Commuting Flows for British Columbia Census Metropolitan Areas/Census Agglomerations and Census Tracts: Mode of Transportation (15) and Sex (3) for the Employed Labour Force 15 Years and Over Having a Usual Place of Work and Residing in Private Households, 2011 National Household Survey

Production Date:June, 2017
Producer:Statistics Canada (Statcan)
Distribution Date:June 28, 2017
hdl:11272/10501
1 download
Last Released: Jun 30, 2017
UBC Research Data Management Survey: Health Sciencesby Barsky, Eugene; Brown, Helen; Ellis, Ursula; Ishida, Mayu; Janke, Robert; Menzies, Erin; Miller, Katherine; Mitchell, Marjorie; Vis-Dunbar, Mathew
Description:

In 2016, the Canadian federal funding agencies introduced the Tri-Agency Statement of Principles on Digital Data Management, which advocates for developing data management plans (DMPs) and making data available for future research. A data management plan addresses questions about: research data types and formats, metadata standards, ethics and legal compliance, data storage and reuse, assignment of data management responsibilities, and resource requirements. With anticipation that DMPs will be increasingly required in grants applications, librarians at University of British Columbia surveyed researchers about their RDM practices and needs in three phases, each of which targets different disciplines: 1) the Sciences and Engineering (fall 2015), 2) the Social Sciences and Humanities (fall 2016), and 3) the Health Sciences (spring 2017). The surveys illuminate disciplinary differences in RDM, and will inform the University in developing infrastructure and services to support researchers in RDM. This report describes findings from the third survey at UBC targeting researchers in the Health Sciences.

Production Date:2017
Producer:UBC Library; UBC ARC
Distribution Date:May 16, 2017
hdl:11272/10491
10 downloads
Last Released: Jun 8, 2017
Description:

First published in 1867, the Canada Year Book (CYB) charts key trends and indicators in the nation's economy, population, society and environment.

Production Date:2017
Producer:[Statistics Canada] (Statcan); Dominion Bureau of Statistics
Distribution Date:2012
Distributor:Statistics Canada (Statcan)
hdl:11272/MLNYP
9 downloads
Last Released: Jun 6, 2017
Description:

The DAD contains data on separations from acute inpatient institutions and selected day surgery, chronic, rehabilitation and psychiatric institutions. Data is collected on separations with a discharge date between April 1 and March 31 of the given fiscal year

Note that this 10% sample does not include Quebec or British Columbia

Production Date:June 06, 2017
Distributor:Statistics Canada (Statcan)
hdl:11272/10498
31 downloads + analyses
Last Released: Jun 6, 2017
Description:

Orthorectified aerial imagery of the UBC Okanagan campus, Kelowna, BC, 2013. Ortho Pixel size - 10 cm

Production Date:July 23, 2013
Producer:University of British Columbia. Campus and Community Planning. (UBC), University of British Columbia
Distributor:University of British Columbia (UBC), University of British Columbia
hdl:11272/PAOHL
1 download
Last Released: Jun 2, 2017
Multi-Language Conversational Telephone Speech 2011 -- Turkishby Jones, Karen; Graff, David; Walker, Kevin; Strassel, Stephanie
Description:

Introduction

Multi-Language Conversational Telephone Speech 2011 -- Turkish was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 18 hours of telephone speech in Turkish.

The data were collected primarily to support research and technology evaluation in automatic language identification, and portions of these telephone calls were used in the NIST 2011 Language Recognition Evaluation (LRE). LRE 2011 focused on language pair discrimination for 24 languages/dialects, some of which could be considered mutually intelligible or closely related.

LDC has released the following as part of the Multi-Language Conversation Telephone Speech 2011 series:

  • Slavic Group (LDC2016S11)
  • Turkish (LDC2017S09)

Data

Participants were recruited by native speakers who contacted acquaintances in their social network. Those native speakers made one call, up to 15 minutes, to each acquaintance. The data was collected using LDC's telephone collection infrastructure, comprised of three computer telephony systems. Human auditors labeled calls for callee gender, dialect type and noise. Demographic information about the participants was not collected.

All audio data are presented in FLAC-compressed MS-WAV (RIFF) file format (*.flac); when uncompressed, each file is 2 channels, recorded at 8000 samples/second with samples stored as 16-bit signed integers, representing a lossless conversion from the original mu-law sample data as captured digitally from the public telephone network. The following table summarizes the total number of calls, total number of hours of recorded audio, and the total size of compressed data:

group lng #calls #hours #MB
turkish tur 87 18.6 975

Production Date:May 15, 2017
Producer:Linguistic Data Consortium (LDC), University of Pennsylvania
Distributor:Linguistic Data Consortium (LDC), University of Pennsylvania
hdl:11272/ACOKK
0 downloads
Last Released: May 18, 2017
Phrase Detectives Corpusby Chamberlain, Jon; Poesio, Massimo; Kruschwitz, Udo
Description:

Introduction

Phrase Detectives Corpus was developed by the School of Computer Science and Electronic Engineering at the University of Essex and consists of approximately 19,012 words across 40 documents anaphorically-annotated by the Phrase Detectives game, an online interactive "game-with-a-purpose" (GWAP) designed to collect data about English anaphoric coreference.

GWAPs for creating language resources are growing. In general, they employ non-monetary incentives, such as entertainment, to motivate participation and can be successful for large-scale persistent annotation efforts.

Data

The documents in the corpus are taken from Wikipedia articles and from narrative text in Project Gutenberg. Wikipedia articles and annotation files are presented as XML and Project Gutenberg source files are presented as plain text. All text is encoded as UTF-8. Annotations are comprised of a gold standard version created by multiple experts, as well as a set created by a large non-expert crowd (via the Phase Detectives game).

The data was annotated according to a prevalent linguistically-oriented approach for anaphora used in several tasks, including OntoNotes Release 5.0 (LDC2013T19), SemEval-2010 Task 1 Ontonotes English: Coreference Resolution in Multiple Languages (LDC2011T01) and The ARRAU Corpus of Anaphoric Information (LDC2013T22).

Production Date:May 15, 2017
Producer:Linguistic Data Consortium (LDC), University of Pennsylvania
Distributor:Linguistic Data Consortium (LDC), University of Pennsylvania
hdl:11272/QCTAL
0 downloads
Last Released: May 18, 2017
 
 
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