EN RLMM BIG DATA GROUP

Transcription

1 August 2016

2 EN RLMM BIG DATA GROUP The Big Data working group in the EN RLMM, was established in Milan in 2015 and is responsible for observing the continuous developments and for informing the Members of the Network regularly about the advancements in this area. The Big Data Working Group involves experts from different countries, taking into account that very different trajectories can be observed in different European countries. The experts represent pivotal organisations, which are either relevant as data providers for regional labour market monitoring or carry out research on the methodological, legal, ethical aspects arising from the utilisation of and dealing with Big Data. 2

3 TOPICS DECISION SUPPORT: Experts research about the stakeholders, the user groups, the strategy development, as well as the appropriate communication formats and interfaces. Decision Support TECHNIQUES: Experts focus on the technical activity, data extraction, automated tools, methodologies, quality assessment, ITinfrastructure, data analysis, accessibility, etc. Techniques Social aspects Legal aspects SOCIAL ASPECTS: Experts research about the impact on the real life of people, the ethical issues, the consequences of big data, the influences in people. LEGAL ASPECTS: Experts focus on the data ownership and use, legal framework, standards and criteria. 3

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5 INDEX QUESTIONAIRE RESULTS SAMPLE VISION ABOUT BIG DATA INICIATIVES WHERE BIG DATA IS USED RATE YOUR ORGANIZATION LOOKING TO THE FUTURE BIG DATA ENVIRONMENT SUGGESTIONS 5

6 SAMPLE - COLLECTED ANSWERS 38 answers collected from 17 different countries 6

7 OUR VISION ABOUT BIG DATA 74% of the entities think that Big Data is necessary for forecasting labour market How necessary do you think Big Data is for forecasting and foresight on the topic of prospective labour market and qualification dev elopment? Labour Market Observ atory Other Priv ate Research Public Employ ment Serv ice Univ ersity NEGATIVE RESULTS: - Why do we have this perception? - Is Big Data trustworthy? - What disadvantages can we find? POSITIVE ASPECTS: - Useful output - Globalized vision - Future prospective - Real time information How would you judge the quality of such data in terms of reliability,.? 50% of the entities do not rely on Big Data Labour Market Observ atory Other Priv ate Research Public Employ ment Serv ice Univ ersity

8 INICIATIVES WHERE BIG DATA IS USED FOR THE MONITORING OF THE LABOUR MARKET Job Centre Plus Burning Glass Social benefits Employment / job vacancy AM Monitoring Bodensee UKCES Denmark: Minor experiments going on in developing real-time LMM based on job advertisements. JobIndex (a job portal) is involved in a number of projects. Manpower Employment Outlook Survey Customer loyalty in consumer companies EMSI Labour demand and supply using job adds EURES-T Oberrhein AM Monitoring Disable peoples' services connecting several public authorities Make supplied skills visible to employers University of Zurich BBVA Foundation; AFI High Commission for Planning (HCP) will conduct a study on big data in 2020 in order to adapt to technological changes. Forecast employment LMI for ALL careers data portal on behalf of the UK Commission for Employment and Skills CEDEFOP's initiative to explore big data use in skills anticipation and matching Slovak Academy of Science Spain's public employment office & statistical office INSEA engineering school of statistics Young people`s situation in the labour market Training for employment Map of occupations and qualification s in the Podlaskie region Occupational Barometer Public Fical System Statistical office 8

9 RATE YOUR ORGANISATION Very poor Poor Good Very good Total Knowledge and/or methodological resources to dev elop projects on Big-Data A Skilled staff in Big Data within y our organization Av ailability of relev ant sources of information in relational format Av ailability of information sources in non-relational format Methodology (statistical, mathematical, computer, etc.) Specialized technology Knowledge: 58% 63% SKILLED STAFF: INFORMATION RELATIONAL FORMAT: 61% 42% 37% 39% INFORMATION NON- RELATIONAL FORMAT: 66% 39% METHODOLOGY: SPECIALIZED TECHNOLOGY: 63% 34% 61% 37% 9

10 LOOKING TO THE FUTURE Should the staff of the observatory acquire all com petencies or do you think it is necessary the support or co-operations with other expert organisations to shape the process together? Not necessary Very necessary Answers Which part of the information of the observatories could so far not be covered through conventional data? Where are the gaps and how can Big Data be used to cover these gaps? Skill mismatches Real-time data Demand dynamics of micro, small and medium enterprises; Skills profile of internet based jobseekers Forecasting and foresight of labour market Vacancies non registered at employment services (hidden labour vacancies) Changes in the labour market Used as additional information to regular survey(s) Demand of Labor National online vacancy market Labour market for disable people Wages in different industries Migration NEET s tendency Detailed information for regions and for occupational groups 10

11 BIG DATA ENVIRONMENT How important do y ou think it is the development of a legal framework to ensure the ethical use of Big Data? Albania Austria Cy prus Denmark EU Germany Italy Morocco Netherlands Poland Romania Slov akia Slovenia Spain Sweden Switzerland UK For 88% of the entities creating a line of support with the European Commission would be helpful. - How can we obtain it? - Joint actions effect? 92% of the entities are worried about ethical procedures in Big Data. - What steps can we take? - Do we need a specific protocol? - Which institutions should we collaborate with about ethical requirements? Do you consider of interest the launch of a line of support for the dev elopment of Big-Data by the European Commission? Labour Market Observ atory Other Priv ate Research Public Employ ment Serv ice Univ ersity

12 SUGGESTIONS Network Projects looking at local and regional use of realtime data and perhaps a new course for observatory staff to explore new skillsets for people to work in this area. Non EU countries should be allowed to be members of the EN RLMM Morocco: Foreign experts on big data will be welcome to improve our big data analysis in the observatory of labor market. Split big data by particular categories, instruments and purpose. What do you think about these suggestions? Organize Workshops or issue manuals introducing non-it experts into big data analysis Need of an easier way to share knowledge with other countries (without travelling). Can we implement them? How can we do it? 12

13 THANK YOU VERY MUCH! 13