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Aligning DMBOK and Open Government with the FAIR Data Principles

机译:使DMBOK和公开政府与FAIR数据原则保持一致

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摘要

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 Aca-demia. 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.
机译:在企业组织中,很长时间以来就一直在战略层面考虑数据的价值。作为有价值的资产,需要考虑到数据的整个生命周期,从源头到处理这些数据。为了指导企业组织的数据管理需求,非营利组织DAMA促进了数据管理作为关键企业资产的开发和实践。 2017年,DAMA发布了第二版《 DAMA国际数据管理知识体系指南》(DAMADMBOK®)。 DAMA DMBOK专注于公司数据,而FAIR数据原则则针对研究数据管理,涉及Aca-demia的研究人员和出版商。数据管理也是政府部门的核心问题,它与政府的公开倡议有很大关系,支持民间社会遵循政府机构的行动。本文对这三种数据性质(研究数据,公司数据和政府数据)以及作为其管理基础的相应原则集进行了系统分析。这些原则相互关联,以找出以FAIR计划为代表的侧重于改进研究数据管理的相似性和可能的​​互补性,并提出了一个支持它的初始框架。

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