2016
DOI: 10.1007/978-3-319-43997-6_2
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A Maturity Model for Information Governance

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Cited by 18 publications
(13 citation statements)
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“…There are many such models that could have generic relevance to the area of RDM, e.g. maturity models for digital preservation (Kenney and McGovern, 2003) and for digital asset management or for information governance as a whole (Proença et al , 2016). Maturity models developed specifically for RDM include the Stewardship Maturity Matrix (Peng et al , 2015) and the Capability Maturity Model for RDM (Qin et al , 2017; Crowston and Qin, 2011).…”
Section: Literature Reviewmentioning
confidence: 99%
“…There are many such models that could have generic relevance to the area of RDM, e.g. maturity models for digital preservation (Kenney and McGovern, 2003) and for digital asset management or for information governance as a whole (Proença et al , 2016). Maturity models developed specifically for RDM include the Stewardship Maturity Matrix (Peng et al , 2015) and the Capability Maturity Model for RDM (Qin et al , 2017; Crowston and Qin, 2011).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Of course, ARMAs is far from the only maturity model available for information governance; much work remains to be done in developing our understanding of the relationship between GDPR and IG. For example, future work mapping GDPR to the maturity model for information governance developed by Proença et al , given its European focus and Design Research basis, could provide rich insights into the interrelationship between GDPR and IG (Proenca et al , 2016). Ultimately, however, Schoch makes much the same point as Rom: GDPR is an opportunity to put IG front and center in organizational decision-making.…”
Section: Resultsmentioning
confidence: 99%
“…This includes determining the level of monitoring of IG principles, assessing the impact of actions in this area on the achievement of the institution's goals, and measuring staff satisfaction. Clear and precise metrics must be defined for this purpose (Proença, Vieira, & Borbinha, 2014). For example, staff satisfaction could correspond to the evaluation of user feedback, and the level of knowledge and application of the IG policy, data for which could be collected through interviews or by observing the occurrence of informational risks after the implementation of the policy.…”
Section: Methodsmentioning
confidence: 99%