Development of the BIRD: a metadata modelling approach for the purpose of harmonising supervisory reporting at the European Central Bank - Directorate of general statistics: master and metadata
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/95810 |
Resumo: | Internship Report presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management |
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Development of the BIRD: a metadata modelling approach for the purpose of harmonising supervisory reporting at the European Central Bank - Directorate of general statistics: master and metadataStatisticsSupervisory reportingMetadataData dictionaryData modellingDimensional modellingInternship Report presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and ManagementThe work presented is a report documenting the work completed during an Internship at the European Central Bank (ECB), located in Frankfurt Germany from the 15th March 2019 – 15th March 2020. The internship took place in the Directorate of General Statistics (DG-S), specifically in the Master and Metadata section of the Analytical Credit and Master data division (MAM). It will be a continuation of the ECB Internal Banks’ Integrated Reporting Dictionary (BIRD) project as well as management of ECB’s centralised metadata repository, known as the Single Data Dictionary (SDD). The purpose of the dictionary and BIRD Project is to provide the banks with a harmonized data model that describes precisely the data that should be extracted from the banks' internal IT systems to derive reports demanded by supervisory authorities, like the ECB. In this report, I will provide a basis for understanding the work undertaken in the team, focussing of the technical aspect of relational database modelling and metadata repositories and their role in big data analytical processing systems, current reporting requirements and methods used by the central banking institutions, which coincide with the processes set out by the European Banking Authority (EBA). This report will also provide an in-depth look into the structure of the database, as well as the principles followed to create the data model. It will also document the process of how the SDD is maintained and updated to meet changing needs. The report also includes the process undertaken by the BIRD team and supporting members on the banking community to introduce new reporting frameworks into the data model. During this period, the framework for the Financial Reporting (FinRep) standards was included, through a collaborative effort between banking representatives and the master and metadata team.Castelli, MauroRUNConnell, Mark Peter2020-04-07T15:01:19Z2020-03-232020-03-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/95810TID:202469611enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:43:46Zoai:run.unl.pt:10362/95810Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:38:27.134925Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Development of the BIRD: a metadata modelling approach for the purpose of harmonising supervisory reporting at the European Central Bank - Directorate of general statistics: master and metadata |
title |
Development of the BIRD: a metadata modelling approach for the purpose of harmonising supervisory reporting at the European Central Bank - Directorate of general statistics: master and metadata |
spellingShingle |
Development of the BIRD: a metadata modelling approach for the purpose of harmonising supervisory reporting at the European Central Bank - Directorate of general statistics: master and metadata Connell, Mark Peter Statistics Supervisory reporting Metadata Data dictionary Data modelling Dimensional modelling |
title_short |
Development of the BIRD: a metadata modelling approach for the purpose of harmonising supervisory reporting at the European Central Bank - Directorate of general statistics: master and metadata |
title_full |
Development of the BIRD: a metadata modelling approach for the purpose of harmonising supervisory reporting at the European Central Bank - Directorate of general statistics: master and metadata |
title_fullStr |
Development of the BIRD: a metadata modelling approach for the purpose of harmonising supervisory reporting at the European Central Bank - Directorate of general statistics: master and metadata |
title_full_unstemmed |
Development of the BIRD: a metadata modelling approach for the purpose of harmonising supervisory reporting at the European Central Bank - Directorate of general statistics: master and metadata |
title_sort |
Development of the BIRD: a metadata modelling approach for the purpose of harmonising supervisory reporting at the European Central Bank - Directorate of general statistics: master and metadata |
author |
Connell, Mark Peter |
author_facet |
Connell, Mark Peter |
author_role |
author |
dc.contributor.none.fl_str_mv |
Castelli, Mauro RUN |
dc.contributor.author.fl_str_mv |
Connell, Mark Peter |
dc.subject.por.fl_str_mv |
Statistics Supervisory reporting Metadata Data dictionary Data modelling Dimensional modelling |
topic |
Statistics Supervisory reporting Metadata Data dictionary Data modelling Dimensional modelling |
description |
Internship Report presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04-07T15:01:19Z 2020-03-23 2020-03-23T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/95810 TID:202469611 |
url |
http://hdl.handle.net/10362/95810 |
identifier_str_mv |
TID:202469611 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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