TY - GEN
T1 - Aligning DMBOK and open government with the FAIR data principles
AU - de Figueiredo, Glaucia Botelho
AU - Moreira, João Luiz Rebelo
AU - de Faria Cordeiro, Kelli
AU - Campos, Maria Luiza Machado
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Corporate data
KW - Data management
KW - DMBOK
KW - FAIR
KW - FAIR principles
KW - Government data
KW - Open government data
KW - Research data
UR - http://www.scopus.com/inward/record.url?scp=85077681636&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077681636&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-34146-6_2
DO - 10.1007/978-3-030-34146-6_2
M3 - Conference contribution
AN - SCOPUS:85077681636
SN - 9783030341459
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 13
EP - 22
BT - Advances in Conceptual Modeling
A2 - Guizzardi, Giancarlo
A2 - Gailly, Frederik
A2 - Suzana Pitangueira Maciel, Rita
PB - Springer
T2 - Workshop on Conceptual Modeling, Ontologies and Metadata Management for FAIR Data, FAIR 2019, 6th Workshop on Conceptual Modeling in Requirements Engineering and Business Analysis, MREBA 2019, 2nd International Workshop on Empirical Methods in Conceptual Modeling, EmpER 2019, 8th International Workshop on Modeling and Management of Big Data, MoBiD19 2019 and 7th International Workshop on Ontologies andConceptual Modelling, OntoCom 2019 held at the 38th International Conference on Conceptual Modeling, ER 2019
Y2 - 4 November 2019 through 7 November 2019
ER -
