69,238 research outputs found

    Towards Support for Long-Term Digital Preservation in Product Life Cycle Management

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    Important legal and economic motivations exist for the design and engineering industry to address and integrate digital long-term preservation into product life cycle management (PLM). Investigations revealed that it is not sufficient to archive only the product design data which is created in early PLM phases, but preservation is needed for data that is produced during the entire product lifecycle including early and late phases. Data that is relevant for preservation consists of requirements analysis documents, design rationale, data that reflects experiences during product operation and also metadata like social collaboration context. In addition, also the engineering environment itself that contains specific versions of all tools and services is a candidate for preservation. This paper takes a closer look at engineering preservation use case scenarios as well as PLM characteristics and workflows that are relevant for long-term preservation. Resulting requirements for a long-term preservation system lead to an OAIS (Open Archival Information System) based system architecture and a proposed preservation service interface that respects the needs of the engineering industry

    Towards Support for Long-Term Digital Preservation in Product Life Cycle Management

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    LIFE: bibliography

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    The following bibliography came out of the research which formed the first phase of the joint British Library-UCL LIFE (Lifecycle Information for E-Literature) project. The references are not an exhaustive review of digital preservation activities, they are a reflection of the aims of the LIFE project. Any suggestions for additions or comments can be emailed to [email protected]

    LIFE: Costing the digital preservation lifecycle

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    Having confidence in the permanence of a digital resource requires a deep understanding of the preservation activities that will need to be performed throughout its lifetime, and an ability to plan and resource for those activities. The LIFE (Lifecycle Information for E-Literature) Project1 has advanced understanding of the short and long-term costs in this complex area, facilitating better planning, comparison and evaluation of digital lifecycles. The LIFE Project created a digital lifecycle model based on previous work undertaken on the lifecycles of paper-based materials. It applied the model to real-life collections, modelling their lifecycles and studying their constituent processes. The results were then used to estimate the costs of each element of the digital lifecycle. Organisations can now apply this process, enabling evaluation and refinement of their existing lifecycles and facilitating more effective planning for the preservation of newly acquired content. Phase 2 of the LIFE Project began in February 2007. It is evaluating and refining the models and methodology developed in the first phase of the project and developing lifecycle costings for a range of further case studies

    An Exploratory Sequential Mixed Methods Approach to Understanding Researchers’ Data Management Practices at UVM: Findings from the Quantitative Phase

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    This article reports on the second quantitative phase of an exploratory sequential mixed methods research design focused on researcher data management practices and related institutional support and services. The study aims to understand data management activities and challenges of faculty at the University of Vermont (UVM), a higher research activity Research University, in order to develop appropriate research data services (RDS). Data was collected via a survey, built on themes from the initial qualitative data analysis from the first phase of this study. The survey was distributed to a nonrandom census sample of full-time UVM faculty and researchers (P=1,190); from this population, a total of 319 participants completed the survey for a 26.8% response rate. The survey collected information on five dimensions of data management: data management activities; data management plans; data management challenges; data management support; and attitudes and behaviors towards data management planning. Frequencies, cross tabulations, and chi-square tests of independence were calculated using demographic variables including gender, rank, college, and discipline. Results from the analysis provide a snapshot of research data management activities at UVM, including types of data collected, use of metadata, short- and long-term storage of data, and data sharing practices. The survey identified key challenges to data management, including data description (metadata) and sharing data with others; this latter challenge is particular impacted by confidentiality issues and lack of time, personnel, and infrastructure to make data available. Faculty also provided insight to RDS that they think UVM should support, as well as RDS they were personally interested in. Data from this study will be integrated with data from the first qualitative phase of the research project and analyzed for meta-inferences to help determine future research data services at UVM

    Digital Preservation Services : State of the Art Analysis

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    Research report funded by the DC-NET project.An overview of the state of the art in service provision for digital preservation and curation. Its focus is on the areas where bridging the gaps is needed between e-Infrastructures and efficient and forward-looking digital preservation services. Based on a desktop study and a rapid analysis of some 190 currently available tools and services for digital preservation, the deliverable provides a high-level view on the range of instruments currently on offer to support various functions within a preservation system.European Commission, FP7peer-reviewe

    Invest to Save: Report and Recommendations of the NSF-DELOS Working Group on Digital Archiving and Preservation

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    Digital archiving and preservation are important areas for research and development, but there is no agreed upon set of priorities or coherent plan for research in this area. Research projects in this area tend to be small and driven by particular institutional problems or concerns. As a consequence, proposed solutions from experimental projects and prototypes tend not to scale to millions of digital objects, nor do the results from disparate projects readily build on each other. It is also unclear whether it is worthwhile to seek general solutions or whether different strategies are needed for different types of digital objects and collections. The lack of coordination in both research and development means that there are some areas where researchers are reinventing the wheel while other areas are neglected. Digital archiving and preservation is an area that will benefit from an exercise in analysis, priority setting, and planning for future research. The WG aims to survey current research activities, identify gaps, and develop a white paper proposing future research directions in the area of digital preservation. Some of the potential areas for research include repository architectures and inter-operability among digital archives; automated tools for capture, ingest, and normalization of digital objects; and harmonization of preservation formats and metadata. There can also be opportunities for development of commercial products in the areas of mass storage systems, repositories and repository management systems, and data management software and tools.

    Planets: Integrated Services for Digital Preservation

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    The Planets Project is developing services and technology to address core challenges in digital preservation. This article introduces the motivation for this work, describes the extensible technical architecture and places the Planets approach into the context of the Open Archival Information System (OAIS) Reference Model. It also provides a scenario demonstrating Planets’ usefulness in solving real-life digital preservation problems and an overview of the project’s progress to date

    Moving data into and out of an institutional repository: Off the map and into the territory

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    Given the recent proliferation of institutional repositories, a key strategic question is how multiple institutions - repositories, archives, universities and others—can best work together to manage and preserve research data. In 2007, Green and Gutmann proposed how partnerships among social science researchers, institutional repositories and domain repositories should best work. This paper uses the Timescapes Archive—a new collection of qualitative longitudinal data— to examine the challenges of working across institutions in order to move data into and out of institutional repositories. The Timescapes Archive both tests and extends their framework by focusing on the specific case of qualitative longitudinal research and by highlighting researchers' roles across all phases of data preservation and sharing. Topics of metadata, ethical data sharing, and preservation are discussed in detail. What emerged from the work to date is the extremely complex nature of the coordination required among the agents; getting the timing right is both critical and difficult. Coordination among three agents is likely to be challenging under any circumstances and becomes more so when the trajectories of different life cycles, for research projects and for data sharing, are considered. Timescapes exposed some structural tensions that, although they can not be removed or eliminated, can be effectively managed
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