Digital data heritage preservation (DHP) modelling and design

Publication Type:
Thesis
Issue Date:
2018
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This study focuses on heritage concepts and their importance in an ever-evolving and changing Digital Era where system solutions have to be sustainable. The main idea of this research is related to the management of Heritage, directly in terms of preservation. It exposes an experimental methodology and a valid analysis of the results. The reliability and accuracy of data are very strategic points as the knowledge base is wide and complete. This research proposes a model to explain how to build an accurate framework for Data Preservation. The relation between Preservation and Digital patterns of Heritage is well related due to the aspects of accessibility and context. They cover the conceptualization of real digital preservation. However, the availability, contextualization and value of the information remain the principal matters on which this research focuses. Firstly, in the introduction, the context is presented and the description of the initial scenario. Secondly, it addresses the process of preservation with modeling applications and the implementation of patterns. Finally, it presents the conclusions and future projects based on the findings. The principal objective of the research is the integration between models and standardization as a sustainable solution. A primary concern is the explosive amount of information. The complexity of the classification is how to manage the principal characteristics of data. Digital Data and Heritage Preservation, as concepts, are related to data management, contextualization and storage. There are many issues and concerns related to this. This research explores the precise definition, context and need for patterns of heritage. The relations, interpretation and context provide us the appropriate methods to keep information for long-term use. The management of massive amounts of critical data involves designing, modeling, processing and the implementation of accurate systems. The methods to understand data have to consider two dimensions that this research has to focus on: access dimension and cognitive dimension. Our cultural heritage, documents and artifacts increase regularly and place Data Management as a crucial issue. It involves exploration and approaches based on the review of recent advances. The adaptation of the architectural framework and the development of software system architecture, in order to build the system prototype, increases regulatory compliance mandates which are forcing enterprises to seek new approaches to managing reference data. Sometimes, the approach of tracking reference data in spreadsheets and doing manual reconciliation is both time-consuming and prone to human error. As organizations merge and businesses evolve, reference data must be continually mapped and merged as applications are linked and integrated. Accuracy and consistency, realize improved data quality and together let the organizations adapt reference data as the business evolves. The challenge is to know how to keep the attributes of the data and how to preserve originality. Heritage is the concrete data, it gives interconnection with other aspects of reality.
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