Enhancing the cooperation with data holders in official statisticsthe case of Spain

  1. GREGORIO IZQUIERDO LLANES 1
  2. ANTONIO M. SALCEDO GALIANO 2
  3. YOLANDA GÓMEZ MENCHÓN 2
  1. 1 Universidad Nacional de Educación a Distancia
    info

    Universidad Nacional de Educación a Distancia

    Madrid, España

    ROR https://ror.org/02msb5n36

  2. 2 Instituto Nacional de Estadística (INE)
Aldizkaria:
Rect@: Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA

ISSN: 1575-605X

Argitalpen urtea: 2018

Alea: 19

Zenbakia: 2

Orrialdeak: 95-105

Mota: Artikulua

DOI: 10.24309/RECTA.2018.19.2.02 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Beste argitalpen batzuk: Rect@: Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA

Laburpena

The concept of cooperation is related to coordination in Regulation 223/2009 and in the Code of Practice of European Statistics. Cooperation is understood as horizontal tool between national statistical authorities and other public entities or between statistical authorities and the scientific community, or even among statistical authorities of different Countries (International cooperation). However, the European Statistical System (ESS) Quality Declaration adopted in 2016 introduce a new meaning stating that “We consistently strive to minimise the burden on our respondents, cultivate good cooperation with data providers and cooperate closely with stakeholder groups including the scientific communities”. The first question that comes to mind is if the ESS is moving from the “traditional” meaning of cooperation among public data providers (the owners of the administrative data) to an enlarged cooperation with the private sector. In particular, focusing in a very hot issue like Big Data, we analyse in this article some issues such as how this cooperation could be, if there is a need for legal support for cooperation with data holders or, if so, which type of legal acts could be more useful.

Erreferentzia bibliografikoak

  • P. Struijs, Big data for official statistics (Eustat, 2016).
  • A. Gandomi and M. Haider, Beyond the hype: Big data concepts, methods, and analytics, International Journal of Information Management 35 (2015) 137–144.
  • Conference of European Statisticians, In-depth review of big data (UNECE 2014).
  • ESS, Scheveningen Memorandum (Eurostat, 2013).
  • D. Agrawal, P. Bernstein, E. Bertino, S. Davidson, U. Dayal, M. Franklin, …, J. Widom, Challenges and Opportunities with Big Data (Computing Research Association, 2012).
  • C. Hammer, D. Kostroch and G. Quiros, Big Data: Potential, challenges and statistical implications (IMF, 2017).
  • W. Radermarcher, The future role of official statistics (Eurostat, 2017).
  • ESS, European Statistical Code of Practices (Eurostat, 2017).
  • A. Wirthmann, Structuring risks and solutions in the use of big data sources for producing official statistics – Analysis based on a quality framework. (UNECE, 2015).
  • B. Loison and D. Kuonen, Are Current Frameworks in the Official Statistical Production Appropriate for the Usage of Big Data and Trusted Smart Statistics? (DGINS, 2018).
  • D. Salgado, C. Alexyru, B. Oancea, M. Debusschere, F. Dupont, P. Piela and S. Williams, Guidelines for the access to mobile phone data within the ESS (Eurostat, 2017).
  • D. Salgado, Big Data en la Estadística Pública: Retos ante los primeros pasos, Economía industrial 405 (2017) 121-129.
  • European Parliament, Fact Sheets on the European Union on Intellectual, industrial and commercial property (European IPR HelpDesk, 2018).
  • European Commission, Communication from the Commission to the European Parliament and to the Council on the independence, integrity and accountability of the national and Community statistical authorities, (Eurostat, 2005).
  • International Statistical Institute, ISI Declaration on Professional Ethics, (ISI, 2010).
  • A. Rutkauskiene, Report on the review of ethics related to big data (Eurostat, 2017).
  • S. Landefeld, Uses of Big Data for Official Statistics: Privacy, Incentives, Statistical Challenges, and Other Issues (United Nations Statistical Division, 2014).
  • Statistical Commission, Recommendations for Access to proprietary data (United Nations, 2017).
  • ESS, Position paper on access to privately held data which are of public interest (Eurostat, 2017).
  • European Commission, Guidance on sharing private sector data in the European data economy (EurLex, 2018a).
  • European Commission, Towards a common European data space (Eur-Lex, 2018b).
  • T. Klein and S. Verhulst, Access to New Data Sources for Statistics: Business Models and Incentives for the Corporate Sector (PARIS21, 2017).
  • E. Baldacci and F. Pelagalli, Communication of statistics in post-truth society: the good, the bad and the ugly (Eurostat, 2017).