Developing a Reference Model for Open Data Capability Maturity Assessment

2022 ◽  
pp. 135-150
Author(s):  
Murat Tahir Çaldağ ◽  
Ebru Gökalp
Author(s):  
Siaw-Teng Liaw ◽  
Rui Zhou ◽  
Sameera Ansari ◽  
Jun Gao

Abstract Introduction Countries need to determine their level of digital health capability maturity to assess and mobilize their knowledge, skills, and resources to systematically develop, implement, evaluate, scale up and maintain large-scale implementations of standards-based interoperable digital health tools. Objective Develop a Digital Health Profile and Maturity Assessment Toolkit (DHPMAT) to assist Pacific Island Countries (PICs) to harness digital tools to support national health priorities. Materials and Methods A literature review guided the development of the conceptual framework to underpin the DHPMAT. Key informants collaborated to collect key digital health features and indicators to inform their country’s digital health maturity assessment. The DHPMAT was tested with country stakeholders at a Pacific Health Information Network workshop in 2019. Results A comprehensive list of indicators to describe country digital health profiles (DHP). A digital health maturity assessment tool that uses criteria codeveloped with country stakeholders to assess essential digital health foundations and quality improvement. DHPs created and maturity assessed and packaged into individualized DHPMATs for 13 PICs. PIC users perceived the DHPMAT as useful, especially the congruence with the 2017 WHO WPRO Regional Strategy but noted a “cognitive overload” from a plethora of complex digital health toolkits. Conclusions The cocreation approach optimized currency, accuracy, and appropriateness of information in the DHP, understanding, and use of the DHPMAT to facilitate informed iterative discussion by PICs on their digital health maturity to harness digital tools to strengthen country health systems. The DHPMAT can rationalize the choice and use of existing tools and reduce cognitive overload.


Author(s):  
Pierre C Vella ◽  
Stefan S Dimov ◽  
Roussi Minev ◽  
Emmanuel B Brousseau

This article presents a systematic approach for assessing the maturity of manufacturing technologies. A methodology is proposed that is based on modelling the capability of the individual processes and technology interfaces between them. It is inspired by a capability maturity model which has been applied successfully in the field of software engineering. The methodology was developed to assess the maturity levels of individual processes and the combined maturity of pairs or chains of processes. To demonstrate its validity, it was applied for assessing the maturity of technologies in the micro and nano manufacturing domain. The results demonstrated its applicability as a tool for evaluating the maturity of micro and nano manufacturing pairs and their constituent processes. Also, it was shown that the methodology can be employed for identifying process pairs, suitable for integration in process chains, together with their potential weaknesses.


2019 ◽  
Vol 16 (2) ◽  
pp. 213-226
Author(s):  
Ramon Baptista Narcizo ◽  
Alberto Gabbay Canen ◽  
Iara Tammela ◽  
Rodolfo Cardoso ◽  
Jamile Eleutério Delesposte

Highlights: The prevalence of Research and Development (R&D) as an inducing factor for innovation has been questioned, and studies show that low-tech companies are able to innovate. Innovation capability is essential to increase productivity and improve competitiveness. However, when formal R&D is considered as the main parameter in its evaluation, it tends to underestimate it. The extent and heterogeneity of studies on innovation in non-R&D practitioners is a relevant problem and, despite theoretical and empirical advances, it is not satisfactorily resolved yet. Goal: This article presents a reference model for innovation capability maturity in low-technology, non-R&D performing companies, oriented to guide decision makers and the institutions supporting these organizations. Design / Methodology / Approach: The method used to construct the model is based on the proposition of Ahlemann and Gastl (2007) for the construction of reference models based on empirical evidence. Results: The model is based on ten organizational dimensions and their effects on the organization's performance. Five maturity levels are defined, synthesizing the fundamental characteristics of innovation capability in non-R&D practitioners or low technology companies. Limitations of the investigation: Although the model has been tested and validated, more applications and tests may still be required. Practical implications: The model is an important tool for decision-making, at the management level, in low-tech companies that aspire to broaden their innovation capability. Originality / Value: The model has significant potential academic repercussions, in terms of the expansion of knowledge, as well as for the industry, since it can contribute to the increase of the competitive performance of companies.


2020 ◽  
Vol 10 (10) ◽  
pp. 3660
Author(s):  
Aliyu Aliyu ◽  
Leandros Maglaras ◽  
Ying He ◽  
Iryna Yevseyeva ◽  
Eerke Boiten ◽  
...  

As organisations are vulnerable to cyberattacks, their protection becomes a significant issue. Capability Maturity Models can enable organisations to benchmark current maturity levels against best practices. Although many maturity models have been already proposed in the literature, a need for models that integrate several regulations exists. This article presents a light, web-based model that can be used as a cybersecurity assessment tool for Higher Education Institutes (HEIs) of the United Kingdom. The novel Holistic Cybersecurity Maturity Assessment Framework incorporates all security regulations, privacy regulations, and best practices that HEIs must be compliant to, and can be used as a self assessment or a cybersecurity audit tool.


2020 ◽  
Vol 179 ◽  
pp. 02023
Author(s):  
Lei Yue ◽  
Zhou Wang ◽  
Yifang Fang ◽  
Zhonghua Han

Smart manufacturing capability maturity assessment has been widely carried out in order to help enterprises to identify the direction and route of smart transformation by stationing in enterprises. However, many maturity models for industrial enterprises can not reflect their industrial realities more accurately. Therefore, the aim of this paper attempts to make the smart manufacturing maturity assessment operational, and implement a specific assessment framework based on an existing general conceptual framework. This implementation involved two top-down approaches that one is socio-technical system as a top-level design of factors, and the other is refining assessment domains based on lifecycle and activity models. Results of this implementation showed a two-dimensional assessment framework instance and collections of definitions for capability maturity levels. To conclude, this implementation may be a reference for work specification of smart manufacturing maturity assessment. Three possible future research in the area was suggested at last.


2020 ◽  
Vol 45 (1) ◽  
pp. 19-23
Author(s):  
Emmanuelle Delmas-Glass ◽  
Robert Sanderson

The PHAROS consortium is adopting the Linked Art data model to make its descriptions of photo archives collections available as Linked Open Data to further support scholars in their research. Linked Art is both a community and a data model. As an international community, it works together to create a shared data model to describe art. As a data model, it is a data profile of the CIDOC Conceptual Reference Model and using Linked Open Data techniques. The goal of Linked Art is to enable museums and developers to engage in LOD initiatives more easily by providing them with shared data modelling decisions and consistent design principles.


Author(s):  
Marek Szelągowski ◽  
Justyna Berniak-Woźny

AbstractFor almost 30 years, the way of building business process management maturity models (BPM MMs), the importance assigned to individual maturity levels, and the criteria and critical success factors chosen for BPM maturity assessment have not changed significantly, despite the fact that during those three decades, the business environment and organizations themselves have changed enormously. The impact of hyperautomation and the increasing pace of change require the integration of maturity assessment with the BPM implementation methodology, including the repetition of maturity assessment for selected groups of processes. This causes an urgent need to adapt both process maturity assessment methods and BPM MMs to changing working conditions and business requirements. This conceptual paper is based on a model approach. The framework presented in the article continues and at the same time clearly deviates from the tradition of building BPM MMs on the basis of the Capability Maturity Model (CMM). It proposes a two-stage comprehensive process of organizational process maturity assessment, fully integrated into the process of BPM implementation and further business process management. The presented framework makes it possible to assess the process maturity of Industry 4.0 organizations in which dynamic knowledge-intensive business processes (kiBPs) play a key role in creating value.


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