Supplementary
data and material in relation to Cedefop’s Policy brief:
“Exploring the
potential of online CV data for labour market intelligence
The case of Europass”
|
Europass
CV voluntary survey (June-September 2019) Europass’
users survey is one of the largest survey of people who build their
curriculum vitae worldwide. The data collection was run from 15th of June
2019 till the end of September 2019. Survey resulted in nearly 400,000 users,
who committed their CV for statistical analysis. Precisely, 392,812 unique
CVs were gathered, among which 353,518 qualified for analytical purposes
based on the degree of their completion. https://pub5600.cedefop.europa.eu/results/survey_report/epas_survey.html |
|
Entrepreneurship Competence: June - September 2019 The Entrepreneurship
Competence Framework (EntreComp) defines a specific set of competences
associated with entrepreneurship. Using a given set of key words and phrases
identifying those competences, the Europass CV free-text data related to
Skills, Knowledge and Competences will be mined to acquire demographic
information and statistics on the respondents who report possession of those
competences. https://pub5600.cedefop.europa.eu/results/entrecomp_report/entrecomp.html |
|
Awareness
of the European Qualifications Framework within Europass users The European Qualifications Framework (EQF) has been
introduced as a common reference framework for communicating the equivalence
of the different countries’ qualifications across Europe. It defines eight
levels of education, from primary (at Level 1) to doctoral (at Level 8). The
Europass CV online editor gives users the option to include their EQF level
on their CV either by selecting it via a drop-down menu or by writing free
text that describes it or an equivalent national qualification. https://pub5600.cedefop.europa.eu/results/eqf_report/eqf_usage.html |
|
Occupations analysis,
trends and correlations report (HTML) Using naturally occurring labour market data aggregated from over 10M
Europass CVs, the report presents insights into: ·
disappearing
and newly emerging occupations; ·
changing
skill requirements for jobs positions; ·
usual
career paths; ·
skills-to-occupations
association in the ESCO model compared to the collected CV data. URL: http://pub5600.cedefop.europa.eu/results/i-cv/regression_correlation.html |
|
Cross-checking with official statistics report (HTML) Presents associations
and cross-references of the aggregated Europass CV data with other data
sources and official statistics (Eurostat’s European Union Labour force
survey and Cedefop’s online job vacancy data). URL: http://pub5600.cedefop.europa.eu/results/i-cv/official_stats.html |
|
Europass CV skills analysis report (HTML) Presents an analysis of the skill groups defined in the new ESCO
(v1.0.5 and 1.0.8) hierarchy, including an analysis of skills by occupations
and the distribution of skills of NEETs. URL:
http://pub5600.cedefop.europa.eu/results/i-cv/skills_hierarchy.html |
|
Codebooks A
set of standardised codebooks was produced for the needs of the study: ·
demographics – provides insights into the
demographic distribution of Europass CVs using 18 features (e.g. gender,
nationality, work years); ·
occupations – describes aggregate
job-related statistics based on the Europass CV database using 14 features
(e.g. ESCO job title, preceding work years); ·
skills/competences – provides insights into the skills
and competences appearing in the Europass CVs using 14
features (e.g. skill type, age group); ·
career paths – provides insights into
career paths identified in the Europass CV database using 16 features (e.g.
recruitment year, termination year). URL: http://pub5600.cedefop.europa.eu/results/shiny/app/exploratory_data_tool/#!/codebook |
|
Exploratory
data tool An online tool that allows researchers
to explore the study’s data sets by applying custom queries, visualising and
exporting the data. URL: http://pub5600.cedefop.europa.eu/results/shiny/app/exploratory_data_tool/#!/explore_data |
|
An R library for
the classification of multilingual text
used in occupation titles. It
allows the user to map multilingual free text of occupations to a broad range
of standardised classifications. |
|
A new R library
for the classification of multilingual text
used in qualification titles
was published in CRAN and Github (complementing the existing labour library). |
|
Methods
and classes for crosswalks between the ESCO, O*NET and Canadian NOC
classifications of occupations. |