Introduction to OAIS Concepts and Terminology

Giaretta, David

doi:10.1007/978-3-642-16809-3_3

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…Most consortia have relied on data integration systems such as the Open Archival Information System (OAIS) 256 , 257 , which enables the management of organisations and individuals intending to share data. The system offers a guide for developing common terminologies and concepts, architectures and operations of databanks to facilitate uniform and valid content sharing 258 .…”

Section: Resultsmentioning

confidence: 99%

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Considerations for an integrated population health databank in Africa: lessons from global best practices

et al. 2021

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Background: The rising digitisation and proliferation of data sources and repositories cannot be ignored. This trend expands opportunities to integrate and share population health data. Such platforms have many benefits, including the potential to efficiently translate information arising from such data to evidence needed to address complex global health challenges. There are pockets of quality data on the continent that may benefit from greater integration. Integration of data sources is however under-explored in Africa. The aim of this article is to identify the requirements and provide practical recommendations for developing a multi-consortia public and population health data-sharing framework for Africa. Methods: We conducted a narrative review of global best practices and policies on data sharing and its optimisation. We searched eight databases for publications and undertook an iterative snowballing search of articles cited in the identified publications. The Leximancer software © enabled content analysis and selection of a sample of the most relevant articles for detailed review. Themes were developed through immersion in the extracts of selected articles using inductive thematic analysis. We also performed interviews with public and population health stakeholders in Africa to gather their experiences, perceptions, and expectations of data sharing. Results: Our findings described global stakeholder experiences on research data sharing. We identified some challenges and measures to harness available resources and incentivise data sharing. We further highlight progress made by the different groups in Africa and identified the infrastructural requirements and considerations when implementing data sharing platforms. Furthermore, the review suggests key reforms required, particularly in the areas of consenting, privacy protection, data ownership, governance, and data access. Conclusions: The findings underscore the critical role of inclusion, social justice, public good, data security, accountability, legislation, reciprocity, and mutual respect in developing a responsive, ethical, durable, and integrated research data sharing ecosystem.

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Section: Resultsmentioning

confidence: 99%

“…➢ Develop an integrated system such as the Open Archival Information System (OAIS) for data management and sharing 256,257 .…”

mentioning

confidence: 99%

Considerations for an integrated population health databank in Africa: lessons from global best practices

et al. 2021

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“…The most important ones are the Repository of Authentic Digital Objects (RODA) [9], the Dynamic Digital Repository (DSpace) [10], the Flexible and Extensible Digital Object Repository Architecture (FEDORA) [11], and EPrints Institutional Repository Software [12]. These platforms offer multiple storage features, and all of them implement the standard OAIS preservation model [13] and the Dublin Core metadata standard [14]. The OAIS model standard is widely accepted and utilized by various organizations and disciplines, both national and international, and was designed to ensure preservation.…”

Section: Background and Related Workmentioning

confidence: 99%

Analysis of Nature-Inspired Algorithms for Long-Term Digital Preservation

El-Fakdi

Rosa

2021

Mathematics

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Digital preservation is a research area devoted to keeping digital assets preserved and usable for many years. Out of the many approaches to digital preservation, the present research article follows a new object-centered digital preservation paradigm where digital objects share part of the responsibility for preservation: they can move, replicate, and evolve to a higher-quality format inside a digital ecosystem. In the new framework, the behavior of digital objects needs to be modeled in order to obtain the best preservation strategy. Thus, digital objects are programmed with the mission of their own long-term self-preservation, which entails being accessible and reproducible by users at any time in the future regardless of frequent technological changes due to software and hardware upgrades. Three nature-inspired computational intelligence algorithms, based on the collective behavior of decentralized and self-organized systems, were selected for the modeling approach: multipopulation genetic algorithm, ant colony optimization, and a virus-based algorithm. TiM, a simulated environment for running distributed digital ecosystems, was used to perform the experiments. The results map the relation between the models and the expected object diversity obtained in short- and mid-term digital preservation scenarios. Comparing the results, the best performance corresponded to the multipopulation genetic algorithm. The article aims to be a first step in the digital self-preservation field. Building nature-inspired model behaviors is a good approach and opens the door to future tests with other AI-based methods.

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“…Current initiatives related to DP are centralized, top-to-bottom structures mainly focused on solving issues related with standardization of file formats and technical properties of digital objects needed for correct migrations and updates. Such services offer multiple storage features, and all implement the standard OAIS preservation model [17] and the Dublin Core metadata standard [18]. Following these standards, we find institutions like the International Federation of Library Associations and Institutions (IFLA) [19] or the Digital Preservation Program carried out by UNESCO [20].…”

Section: Background and Related Workmentioning

confidence: 99%

Evaluating Auction Mechanisms for the Preservation of Cost-Aware Digital Objects under Constrained Digital Preservation Budgets

El-Fakdi

Rosa

2021

Mathematics

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Digital preservation is a field of research focused on designing strategies for maintaining digital objects accessible for general use in the coming years. Out of the many approaches to digital preservation, the present research article is a continuation work of a previously published article containing a proposal for a novel object-centered paradigm to address the digital preservation problem where digital objects share part of the responsibility for self-preservation. In the new framework, the behavior of digital objects is modeled to find the best preservation strategy. The results presented in the current article add a new economic constraint to the object behavior. Now, differently from the previous paper, migrations, copies and updates are not free to use, but subject to budget limitations to ensure the economic sustainability of the whole preservation system, forcing the now-called cost-aware digital objects for efficient management of available budget. The presented approach compares two auction-based mechanisms, a multi-unit auction and a combinatorial auction, with a simple direct purchase strategy as possible efficient behaviors for budget management. TiM, a simulated environment for running distributed digital ecosystems, is used to perform the experiments. The simulated results map the relation between the studied purchase models with the sustained quality level of digital objects, as a measure of its accessibility, together with its budget management capabilities. About the results, the best performance corresponds to the combinatorial auction model. The results are a good approach to deal with the digital preservation problem from a sustainable point of view and open the door to future implementations with other purchase strategies.

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Introduction to OAIS Concepts and Terminology

Cited by 5 publications

References 1 publication

Considerations for an integrated population health databank in Africa: lessons from global best practices

Considerations for an integrated population health databank in Africa: lessons from global best practices

Analysis of Nature-Inspired Algorithms for Long-Term Digital Preservation

Evaluating Auction Mechanisms for the Preservation of Cost-Aware Digital Objects under Constrained Digital Preservation Budgets

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