Aligning DMBOK and open government with the FAIR data principles

Glaucia Botelho de Figueiredo*, João Luiz Rebelo Moreira, Kelli de Faria Cordeiro, Maria Luiza Machado Campos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)


In enterprise organizations, the value of data has been considered on strategic level for a long time. As valuable assets, data need to be managed from source to disposal, considering their whole life cycle. To guide the data managing needs of enterprise organizations, the non-profit organization DAMA promotes the development and practice of data management as key enterprise assets. In 2017, DAMA has published the second edition of the DAMA International Guide to Data Management Body of Knowledge (DAMA DMBOK®). While the DAMA DMBOK focuses on corporate data, the FAIR data principles target research data management involving researchers and publishers in Academia. Data management is also a core issue in the Government sector, which has a great relevance in the open government initiatives, supporting the civil society to follow the actions of government bodies. This article makes a systematic analysis of these three data natures – research data, corporate data and government data – and the respective sets of principles that act as a basis for their management. These principles are correlated to identify similarities and possible complementarities focusing on the improvement of research data management, represented by the FAIR initiative, proposing an initial framework to support it.

Original languageEnglish
Title of host publicationAdvances in Conceptual Modeling
Subtitle of host publicationER 2019 Workshops FAIR, MREBA, EmpER, MoBiD, OntoCom, and ER Doctoral Symposium Papers, Salvador, Brazil, November 4–7, 2019, Proceedings
EditorsGiancarlo Guizzardi, Frederik Gailly, Rita Suzana Pitangueira Maciel
Place of PublicationCham
Number of pages10
ISBN (Electronic)978-3-030-34146-6
ISBN (Print)978-3-030-34145-9
Publication statusPublished - 1 Jan 2019
Externally publishedYes
Event2019 ER Workshop on Conceptual Modeling, Ontologies and Metadata Management for FAIR Data, FAIR 2019 - Salvador, Bahia, Brazil
Duration: 4 Nov 20197 Nov 2019

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2019 ER Workshop on Conceptual Modeling, Ontologies and Metadata Management for FAIR Data, FAIR 2019
Abbreviated titleFAIR
CitySalvador, Bahia


  • Corporate data
  • Data management
  • FAIR
  • FAIR principles
  • Government data
  • Open government data
  • Research data


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