Economics and Engineering for Preserving Digital Content

Progress towards practical long-term preservation seems to be stalled. Preservationists cannot afford specially developed technology, but must exploit what is created for the marketplace. Economic and technical facts suggest that most preservation ork should be shifted from repository institutions to information producers and consumers. Prior publications describe solutions for all known conceptual challenges of preserving a single digital object, but do not deal with software development or scaling to large collections. Much of the document handling software needed is available. It has, however, not yet been selected, adapted, integrated, or deployed for digital preservation. The daily tools of both information producers and information consumers can be extended to embed preservation packaging without much burdening these users. We describe a practical strategy for detailed design and implementation. Document handling is intrinsically complicated because of human sensitivity to communication nuances. Our engineering section therefore starts by discussing how project managers can master the many pertinent details.

长期保存起源信息封装技术的比较研究

文章详细介绍了四种国际主流起源信息的封装格式和应用方案，对其封装方法、元数据支持、工具支 持和易用性等进行了对比分析，进一步探讨了四种方法在实际应用中的问题及其应对策略，并建议在实际运用 中，应结合具体场景选择合适的封装格式和封装策略，以达到最佳效果。</p

Pathways: Augmenting interoperability across scholarly repositories

In the emerging eScience environment, repositories of papers, datasets, software, etc., should be the foundation of a global and natively-digital scholarly communications system. The current infrastructure falls far short of this goal. Cross-repository interoperability must be augmented to support the many workflows and value-chains involved in scholarly communication. This will not be achieved through the promotion of single repository architecture or content representation, but instead requires an interoperability framework to connect the many heterogeneous systems that will exist. We present a simple data model and service architecture that augments repository interoperability to enable scholarly value-chains to be implemented. We describe an experiment that demonstrates how the proposed infrastructure can be deployed to implement the workflow involved in the creation of an overlay journal over several different repository systems (Fedora, aDORe, DSpace and arXiv).Comment: 18 pages. Accepted for International Journal on Digital Libraries special issue on Digital Libraries and eScienc

PREDON Scientific Data Preservation 2014

LPSC14037Scientific data collected with modern sensors or dedicated detectors exceed very often the perimeter of the initial scientific design. These data are obtained more and more frequently with large material and human efforts. A large class of scientific experiments are in fact unique because of their large scale, with very small chances to be repeated and to superseded by new experiments in the same domain: for instance high energy physics and astrophysics experiments involve multi-annual developments and a simple duplication of efforts in order to reproduce old data is simply not affordable. Other scientific experiments are in fact unique by nature: earth science, medical sciences etc. since the collected data is "time-stamped" and thereby non-reproducible by new experiments or observations. In addition, scientific data collection increased dramatically in the recent years, participating to the so-called "data deluge" and inviting for common reflection in the context of "big data" investigations. The new knowledge obtained using these data should be preserved long term such that the access and the re-use are made possible and lead to an enhancement of the initial investment. Data observatories, based on open access policies and coupled with multi-disciplinary techniques for indexing and mining may lead to truly new paradigms in science. It is therefore of outmost importance to pursue a coherent and vigorous approach to preserve the scientific data at long term. The preservation remains nevertheless a challenge due to the complexity of the data structure, the fragility of the custom-made software environments as well as the lack of rigorous approaches in workflows and algorithms. To address this challenge, the PREDON project has been initiated in France in 2012 within the MASTODONS program: a Big Data scientific challenge, initiated and supported by the Interdisciplinary Mission of the National Centre for Scientific Research (CNRS). PREDON is a study group formed by researchers from different disciplines and institutes. Several meetings and workshops lead to a rich exchange in ideas, paradigms and methods. The present document includes contributions of the participants to the PREDON Study Group, as well as invited papers, related to the scientific case, methodology and technology. This document should be read as a "facts finding" resource pointing to a concrete and significant scientific interest for long term research data preservation, as well as to cutting edge methods and technologies to achieve this goal. A sustained, coherent and long term action in the area of scientific data preservation would be highly beneficial

Access Interfaces for Open Archival Information Systems based on the OAI-PMH and the OpenURL Framework for Context-Sensitive Services

In recent years, a variety of digital repository and archival systems have been developed and adopted. All of these systems aim at hosting a variety of compound digital assets and at providing tools for storing, managing and accessing those assets. This paper will focus on the definition of common and standardized access interfaces that could be deployed across such diverse digital respository and archival systems. The proposed interfaces are based on the two formal specifications that have recently emerged from the Digital Library community: The Open Archive Initiative Protocol for Metadata Harvesting (OAI-PMH) and the NISO OpenURL Framework for Context-Sensitive Services (OpenURL Standard). As will be described, the former allows for the retrieval of batches of XML-based representations of digital assets, while the latter facilitates the retrieval of disseminations of a specific digital asset or of one or more of its constituents. The core properties of the proposed interfaces are explained in terms of the Reference Model for an Open Archival Information System (OAIS).Comment: Accepted paper for PV 2005 "Ensuring Long-term Preservation and Adding Value to Scientific and Technical data" (http://www.ukoln.ac.uk/events/pv-2005/

Curation and preservation of complex data: North Carolina Geospatial Data Archiving Project

The North Carolina Geospatial Data Archiving Project (NCGDAP) is a three-year joint effort of the North Carolina State University Libraries and the North Carolina Center for Geographic Information and Analysis focused on collection and preservation of digital geospatial data resources from state and local government agencies. CGDAP is being undertaken in partnership with the Library of Congress under the ational Digital Information Infrastructure and Preservation Program (NDIIPP). “Digital geospatial data” consists of digital information that identifies the geographic location and characteristics of natural or constructed features and boundaries on the earth. Such data resources include geographic information systems (GIS) data sets, digitized maps, remote sensing data resources such as digital aerial photography, and tabular data that are tied to specific locations. These complex data objects do not suffer well from neglect, and long-term preservation will involve some combination of format migration and retention of critical documentation. While the main focus of NCGDAP is on organizational issues related to the engagement of spatial data infrastructure in the process of data archiving--with the demonstration repository seen more as a catalyst for discussion rather than an end in itself--this paper focuses more narrowly on the technical challenges associated with eveloping an ingest workflow and archive development process. New preservation hallenges associated with emergent content forms are also resented

基于OAIS信息模型的起源信息封装策略研究与应用

［目的/意义］探索设计并实施长期保存系统起源信息封装策略。［方法/过程］首先分析 OAIS 信息 模型的详细组成，然后分析长期保存系统起源封装的特定服务需求，总结国际主流起源封装策略的基本特点， 提出基于 OAIS 信息模型的起源信息封装策略，并利用 Fedora 仓储系统的内容模型 FOXML 进行封装实现。 ［结果/结论］该策略遵循 OAIS 及 PＲEMIS 标准，全面记录起源信息，具有灵活可扩展的特点，但同时管理和使 用相对比较复杂。</p