Feasibility study on data collection and analysis in the cultural and creative sectors in the EU

Transcription

1 Feasibility study on data collection and analysis in the cultural and creative sectors in the EU Philippe Kern (Project Director), Valentina Montalto (Project Manager) - KEA European Affairs Simon Ellis (Main external expert) Advisory Board: Enrico Giovannini, Hasan Bakshi, Andreas Wiesand

2 General Objective Provide the European institutions with the necessary information to build sustainable mechanisms for data collection, analysis and delivery with the regard the Cultural and Creative Sectors (CCS) towards the development of evidence-based policies

3 Methodology Phase 2: CCS data an overview of existing data collection

4 Methodology Phase 2: CCS data an overview of existing data collection

5 Mapping: main focus & approach Eurostat identified two different groups of data : Available for dissemination : employment, international trade in goods To be explored : enterprises, international trade in services, expenditure and cultural participation KEA s focus and approach: Data available for dissemination shortly described, following the findings from ESSnet. Data to be explored described following the ESSnet report, with additional commentary regarding perceived problem areas and identified gaps. Alternative datasets (such as private databases) as a major focus to bridge the identified gaps. NSIs contacted for additional information through Eurostat.

6 Mapping: Overview Axes Major gaps Most concerned sectors Alternative sources Cultural capital and assets No readily available data from official statistics. Cultural capital is usually assessed through ad hoc methods ( contingent evaluation ). Heritage, museums, architecture Social media (proxy of «non-use» value) Employment Incomplete data - secondary occupation and voluntary workers (EU-LSF) Visual arts Data from labour force surveys, census, etc. exist but are not published Performing arts (including festivals) Professional registers of performing artists Adm. data from performing arts companies Art crafts National trade associations Cultural enterprises Incomplete data (due to recent evolutions: stat. classif. issues) Video games Interactive Software Federation of Europe (ISFE), ad hoc studies Music International Federation of the Phonographic Industry (IFPI) Incomplete data - difficult to define as a statistical category (it is also a process) Design Community Innovation Survey Additional data from professional ass. but not comparable to official stats. Books and press Federation of European Publishers, Amazon Cultural participation Harmonisation issues / Various EU surveys cover the topic but are not harmonised/comparable

7 Mapping: major needs & gaps - preliminary findings Data existing outside official statistics but no/only partially collected at EU level, little comparable (harmonisation issues): Museums Libraries Data existing in official statistics but most companies not captured (classification issues): Music Videogames Very little data both in official statistics and alternative sources (definitional issues): Design Art crafts Festivals General issues with EU-LFS: it does not consider all part-time work/secondary occupation or volunteering. Artists may be professional one week and not the next. Volunteers may be full time and paid in kind. These is not such an issue for other sectors.

8 Alternative sources explored Administrative data Professional and trade associations Collecting societies Business registers Internet-based sources: o o o Social media (e.g. Facebook likes or Twitter feeds) Search engines (e.g. Google search trends) E-commerce platforms (e.g. Amazon) And. cultural observatories

9 Focus on cultural observatories (CO) CO benchmarking s objective & scope: understand what, for which purpose and how cultural observatories collect data on CCS with a view to understand what could be the place of cultural observatories in the context of future mechanisms concerning the collection, analysis and delivery of CCS data + provide useful information to design data collection mechanisms (functioning models, resources, etc.). European Audiovisual Observatory (EAO) Compendium on cultural policies/ericarts European Group on Museum Statistics (EGMUS) ENUMERATE Project (on digitisation of cultural heritage) UNESCO Institute for statistics (UIS) Budapest Observatory (on cultural policies) Observatoire de la culture et des communications du Québec (OCCQ)

10 Learning points Obsevatories provide Data that can help fill in the observed gaps: Ideas of new tools to be put in place: Examples of partnerships with private data providers: Key information on cultural policies for the sector: EGMUS (museums) based on administrative data and decentralised data collection process ENUMERATE (heritage institutions) based on administrative data and decentralised data collection process Budapest Observatory (Festival Registry) UIS (capacity building & methodologies) EAO (Amadeus) OCCQ (Nielsen) Compendium Budapest Observatory EAO (legal issues)

11 Conclusions: how can alternative sources fill in the observed gaps Provide data on key activities (not available through official stats): e.g. EGMUS through administrative data on museums (but needs improvement); Get a more accurate view of the sector: professional/trade associations (IFPI, European Architecture Council EAC, Federation of European Publishers FEP, Interactive Software Federation of Europe ISFE, etc.) as well as collecting societies owe a high amount of data; (e.g. UKMusic collaborated with the UK NSO to calculate the sector s GVA); Better grasp the innovation impact of CCS on other sectors: % of intangible assets in companies available in business registers (e.g. BACH); Add new analytical insights on both the economic and social dimensions of the CCS, such as non-use value, cultural preferences and cultural diversity: e.g. social media & Amazon; Provide examples of new tools to be put in place to collect non-existing data at EU level: e.g. Hungarian registry of festivals by Budapest Observatory.

12 Next steps Discussion document on scenarios of possible mechanisms to collect, analyse and deliver CCS data 26 May 2015: focus group in Brussels to assess scenarios (KEA, EC DG EAC and Eurostat, Simon Ellis + Advisory Board) Final study: summer 2015

13 Thanks! Valentina Montalto 51 Rue du Trône B Brussels Creative