[Androvitsaneas, C., B. Sundgren, and L. Thygesen. 2006. “Towards an SDMX User Guide: Exchange of Statistical Data and Metadata Between Different Systems, National and International.” OECD Expert Group on Statistical Data and Metadata Exchange, Geneva, 6-7 April 2006. Available at: https://sites.google.com/site/bosundgren/my-life (accessed November 2013).]Search in Google Scholar
[Banca d’Italia. 2007. The Matrix Model. Unified Model for Statistical Data Representation and Processing. Available at: https://www.bancaditalia.it/statistiche/raccolta-dati/sistema-informativo-statistico/modellazione/matrixmod.pdf (accessed May 2015).]Search in Google Scholar
[Bergamasco, S., A. Cardacino, F. Rizzo, M. Scanu, and L. Vignola. 2013. “A Strategy on Structural Metadata Management Based on SDMX and the GSIM Models.” Work Session on Statistical Metadata (METIS), Geneva, 6-8 May 2013. Available at: http://www.unece.org/stats/documents/2013.05.metis.html#/ (accessed April 2015).]Search in Google Scholar
[Brancato, G., C. Pellegrini, M. Signore, and G. Simeoni. 2004. “Standardising, Evaluating and Documenting Quality: the Implementation of Istat Information System for Survey Documentation - SIDI.” In Proceedings of European Conference on Quality and Methodology in Official Statistics, Q2004, CD-ROM ISBN: 3-8246-0733-6. Mainz, 24-26 May 2004.]Search in Google Scholar
[Brancato, G. and G. Simeoni. 2012. “Istat Statistical Process Modelling and the Generic Statistical Business Process Model: a Comparison.” European Conference on Quality in Official Statistics, Q2012, Athens, 29 May - 1 June, 2012. Available at: http://www.q2012.gr (accessed November 2013).]Search in Google Scholar
[Couper, M.P. 1998. “Measuring Survey Quality in a CASIC Environment.” In Proceedings of the Survey Research Methods Section, 41-49. Available at: http:// www.amstat.org/sections/srms/Proceedings/ (accessed March 2014).]Search in Google Scholar
[D’Angiolini, G., M. Paolucci, and M. Signore. 1998. “Developing Tools for Managing, Exploiting and Disseminating Metainformation: the Istat’s Experience.” New Techniques and Technologies for Statistics (NTTS) Conference, 4-6 November 1998, Sorrento, vol.1, Specialised Sessions Papers, 119-206.]Search in Google Scholar
[DDI Alliance. 2014. Getting Started with DDI. Available at: http://www.ddialliance.org (accessed October 2014).]Search in Google Scholar
[Ehling, M. and T. Ko¨rner. 2007. Handbook on Data Quality Assessment Methods and Tools. Luxembourg: Eurostat.]Search in Google Scholar
[Eltinge, J.L., P.P. Biemer, and A. Holmberg. 2013. “A Potential Framework for Integrating of Architecture and Methodology to Improve Statistical Production Systems.” Journal of Official Statistics 29: 125-145. Doi: http://dx.doi.org/10.2478/jos-2013-0007.10.2478/jos-2013-0007]Search in Google Scholar
[European Commission. 2009. Commission Recommendations of 23 June 2009 on Reference Metadata for the European Statistical System. Official Journal of the European Union 2009/498/EC. Available at: http://eur-ex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32009H0498 (accessed May 2015).]Search in Google Scholar
[Eurostat. 2009. Euro SDMX Metadata Structure (ESMS). Available at: http://ec.europa.eu/eurostat/data/metadata/metadata-structure (accessed April 2015).]Search in Google Scholar
[Eurostat. 2010. ESS Standard for Quality Reporting Structure, ESQRS release 1, October 2010. Available at: http://ec.europa.eu/eurostat/data/metadata/metadata_structure (Accessed May 2014).]Search in Google Scholar
[Eurostat. 2011. European Statistics Code of Practice. Available at: http://ec.europa.eu/eurostat/web/quality/european-statistics-code-of-practice (accessed May 2015). ]Search in Google Scholar
[Fisher, R.A. 1925. Statistical Methods for Research Workers. London: Oliver and Boyd.]Search in Google Scholar
[Gelsema, T. 2012. “The Organisation of Information in a Statistical Office.” Journal of Official Statistics 28: 413-440.]Search in Google Scholar
[Götzfried, A., H. Linden, and E. Clement. 2011. “Standards and Processes for Integrating Metadata in the European Statistical System.” Workshop on Statistical Metadata (METIS), Geneva, 5-7 October 2011. Available at: http://www.unece.org/stats/documents/2011.10.metis.html (accessed March 2014).]Search in Google Scholar
[Greenough, C., K. Mechanda, and F. Rizzolo. 2014. “Metadata in the Modernization of Statistical Production at Statistics Canada.” European Conference on Quality in Official Statistics, Q2014, Vienna, 2-5 June 2014. Available at: http://www.q2014.at/papers-presentations.html (accessed May 2015).]Search in Google Scholar
[Groves, R.M. and S.G. Heeringa. 2006. “Responsive Designs for Household Surveys: Tools for Actively Controlling Survey Errors and Costs.” Journal of the Royal Statistical Society, Series A 169: 439-457. Available at: http://onlinelibrary.wiley.com/doi/10.1111/rssa.2006.169.issue-3/issuetoc (accessed March 2014).10.1111/j.1467-985X.2006.00423.x]Search in Google Scholar
[SDMX 2009. Content Oriented Guidelines. Available at: http://www.sdmx.org/ (accessed November 2013).]Search in Google Scholar
[Signore, M., R. Carbini, and M. D’Orazio. 2012. “Quality Assessment in Istat: the Combined Use of Standard Quality Indicator Analysis and Audit Procedures.” European Conference on Quality in Official Statistics, Q2012, Athens, 29 May-1]Search in Google Scholar
[June 2012. Available at: http://www.q2012.gr/articlefiles/sessions/6.2_Signore%20et%20al%20_Quality%20assessment%20at%20Istat%20paper.pdf (accessed November 2013).]Search in Google Scholar
[Signore, M., M. Scanu, and G. Brancato. 2013a. “Statistical Metadata: a Unified Approach to Management and Dissemination.” NTTS - Conferences on New Techniques and Technologies for Statistics, Brussels, 5-7 March 2013. Available at: http://www.cros-portal.eu/sites/default/files//NTTS2013%20Proceedings_0.pdf (accessed January 2015).]Search in Google Scholar
[Signore, M., M. Scanu, A. De Santis, A. Ambrosetti, and V. Olivieri. 2013b. La Governance del Sistema Unitario dei Metadati - Metadati Strutturali. Principi e struttura organizzativa per la gestione e armonizzazione dei metadati strutturali dell’Istituto. Internal document, Istat, Rome Italy.]Search in Google Scholar
[Simeoni, G. 2013. “Implementing ESS Standards for Reference Metadata and Quality Reporting at ISTAT.” Joint UNECE/Eurostat/ OECD Work Session on Statistical Metadata. Geneva, 6-8 May 2013.]Search in Google Scholar
[Statistics Sweden. 2008. “Classifications of Statistical Metadata.” Joint UNECE/Eurostat/ OECD work session on statistical metadata (METIS). Luxembourg, 9-11 April]Search in Google Scholar
[2008. Paper prepared by Bo Sundgren. Available at: http://www.unece.org/stats/documents/2008.04.metis.html# (accessed May 2015).]Search in Google Scholar
[Sundgren, B. 2004. “Metadata Systems in Statistical Production Processes - for Which Purposes are They Needed, and How Can They Best Be Organized?” Joint UNECE/Eurostat/OECD work session on statistical metadata (METIS), Geneva, 9-11 February 2004. Available at: https://sites.google.com/site/bosundgren/my-life (accessed November 2013). ]Search in Google Scholar
[Thygesen, L. and M.G. Nielsen. 2012. “How to Fulfill User Needs - Metadata, Administrative Data and Processes.” European Conference on Quality in Official Statistics, Q2012, Athens, 29 May - 1 June 2012. Available at: http://www.q2012.gr/articlefiles/sessions/21.3_Thygesen-Nielsen_How%20to%20fulfill%20user%20needs%20-%20metadata,%20administrative%20data%20and%20processes%20version%20final.pdf (accessed March 2014).]Search in Google Scholar
[United Nations Economic Commission for Europe (UNECE). 1995. Guidelines for the Modeling of Statistical Data and Metadata. Geneva: United Nations. Available at: http://www1.unece.org/stat/platform/display/metis/UNECEþGuidelinesþforþtheþModellingþofþStatisticalþDataþandþMetadata (accessed March 2014).]Search in Google Scholar
[United Nations Economic Commission for Europe (UNECE). 2013a. GSBPM v5.0. Available at: http://www1.unece.org/stat/platform/display/GSBPM/GSBPMþ v5.0 (accessed March 2014).]Search in Google Scholar
[United Nations Economic Commission for Europe (UNECE). 2013b. Generic Statistical Information Model (GSIM): Communication Paper for a General Statistical Audience (Version 1.1, December 2013). Available at: http://www1.unece.org/stat/platform/display/gsim/GSIMþCommunicationþPaper (accessed April 2015).]Search in Google Scholar
[United Nations Economic Commission for Europe (UNECE). 2013c. Generic Statistical Information Model (GSIM): Specification (Version 1.1, December 2013). Available at: http://www1.unece.org/stat/platform/display/gsim/GSIMþSpecification ]Search in Google Scholar
[United Nations Economic Commission for Europe (UNECE). 2015. Generic Activity Model for Statistical Organizations(GAMSO)v0.2.Available at: http://www1.unece.org/stat/platform/display/GAMSO/GAMSO+Home (accessed April 2015).]Search in Google Scholar
[Zachman, J.A. 1987. “A Framework for Information Systems Architecture.” IBM Systems Journal 26, no. 3. Available at: http://www.zachmanframework.com/images/ZI_PIcs/ibmsj2603e.pdf (accessed March 2014). 10.1147/sj.263.0276]Search in Google Scholar