What the Web Has Done for Scientific Data – and What It Hasn’t

The web, together with database technology, has radically changed the way scientific research is conducted. Scientists now have access to an unprecedented quantity and range of data, and the speed and ease of communication of all forms of scientific data has increased hugely. This change has come at a price. Web and database technology no longer support some of the desirable properties of paper publication, and it has introduced new problems in maintaining the scientific record. This brief paper is an examination of some of these issues

Mining Contextual Information for Ephemeral Digital Video Preservation

For centuries the archival community has understood and practiced the art of adding contextual information while preserving an artifact. The question now is how these practices can be transferred to the digital domain. With the growing expansion of production and consumption of digital objects (documents, audio, video, etc.) it has become essential to identify and study issues related to their representation. A cura­tor in the digital realm may be said to have the same responsibilities as one in a traditional archival domain. However, with the mass production and spread of digital objects, it may be difficult to do all the work manually. In the present article this problem is considered in the area of digital video preservation. We show how this problem can be formulated and propose a framework for capturing contextual infor­mation for ephemeral digital video preservation. This proposal is realized in a system called ContextMiner, which allows us to cater to a digital curator's needs with its four components: digital video curation, collection visualization, browsing interfaces, and video harvesting and monitoring. While the issues and systems described here are geared toward digital videos, they can easily be applied to other kinds of digital objects

Digital Preservation Theory and Application: Transcontinental Persistent Archives Testbed Activity

The National Archives and Records Administration (NARA) and EU SHAMAN projects are working with multiple research institutions on tools and technologies that will supply a comprehensive, systematic, and dynamic means for preserving virtually any type of electronic record, free from dependence on any specific hardware or software. This paper describes the joint development work between the University of Liverpool and the San Diego Supercomputer Center (SDSC) at the University of California, San Diego on the NARA and SHAMAN prototypes. The aim is to provide technologies in support of the required generic data management infrastructure. We describe a Theory of Preservation that quantifies how communication can be accomplished when future technologies are different from those available at present. This includes not only different hardware and software, but also different standards for encoding information. We describe the concept of a “digital ontology” to characterize preservation processes; this is an advance on the current OAIS Reference Model of providing representation information about records. To realize a comprehensive Theory of Preservation, we describe the ongoing integration of distributed shared collection management technologies, digital library browsing, and presentation technologies for the NARA and SHAMAN Persistent Archive Testbeds

Research in the Archival Multiverse

Over the past 15 years, the field of archival studies around the world has experienced unprecedented growth within the academy and within the profession, and archival studies graduate education programs today have among the highest enrolments in any information field. During the same period, there has also been unparalleled expansion and innovation in the diversity of methods and theories being applied in archival scholarship. Global in scope, Research in the Archival Multiverse compiles critical and reflective essays across a wide range of emerging research areas and interests in archival studies; it aims to provide current and future archival academics with a text addressing possible methods and theoretical frameworks that have been and might be used in archival scholarship and research

DEFINING DIGITAL PRESERVATION WORK: A CASE STUDY OF THE DEVELOPMENT OF THE REFERENCE MODEL FOR AN OPEN ARCHIVAL INFORMATION SYSTEM

I report on a multi-method case study of the development of a standard called the Reference Model for an Open Archival Information System (OAIS), which describes components and services required to develop and maintain archives in order to support long-term access and understanding of the information in those archives. The development of the OAIS took place within a standards development organization called the Consultative Committee for Space Data Systems (CCSDS), whose formal purview is the work of space agencies, but the effort reached far beyond the traditional CCSDS interests and stakeholders. It has become a fundamental component of digital archive research and development in a variety of disciplines and sectors. Through document analysis, social network analysis and qualitative analysis of interview data, I explain how and why the OAIS development effort, which took place within a space data standards body, was transformed into a standard of much wider scope, relevant to a diverse set of actors. The OAIS development process involved substantial enrollment of resources from the environment, including skills and expertise; social ties; documentary artifacts; structures and routines; physical facilities and proximity; and funding streams. Enrollment from the environment did not occur automatically. It was based on concerted efforts by actors who searched for relevant literature, framed the process as open, and promoted it at professional events. Their acts of participation also helped to enroll resources, contributing to what structuration theory calls the signification and legitimation of the Reference Model, i.e. enactment of what the document means, and why and to whom it is important. Documentary artifacts were most successfully incorporated into the OAIS when they were perceived to support modularity and to be at an appropriate level of abstraction. The content of the Reference Model was subject to stabilization over time, making changes less likely and more limited in scope. A major factor in the success of the OAIS was the timing of its development. Actors within several streams of activity related to digital preservation perceived the need for a highlevel model but had not themselves developed one. At the same time, several actors now felt they had knowledge from their own recent digital archiving efforts, which could inform the development of the OAIS. This study has important implications for research on standardization, and it provides many lessons for those engaged in future standards development efforts.Ph.D.InformationUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/39372/2/dissertation_callee.pd

Research in the Archival Multiverse

Over the past 15 years, the field of archival studies around the world has experienced unprecedented growth within the academy and within the profession, and archival studies graduate education programs today have among the highest enrolments in any information field. During the same period, there has also been unparalleled expansion and innovation in the diversity of methods and theories being applied in archival scholarship. Global in scope, Research in the Archival Multiverse compiles critical and reflective essays across a wide range of emerging research areas and interests in archival studies; it aims to provide current and future archival academics with a text addressing possible methods and theoretical frameworks that have been and might be used in archival scholarship and research

Towards Self-Validating Knowledge-Based Archives

Digital archives are dedicated to the long-term preservation of electronic information and have the mandate to enable sustained access despite a rapidly changing information infrastructure. Current archival approaches build upon standardized data formats and simple metadata mechanisms for collection management, but do not involve high-level conceptual models and knowledge representations. This results in serious limitations, not only for expressing various kinds of information and knowledge about the archived data, but also for creating infrastructure independent, selfvalidating and self-instantiating archives. To overcome these limitations, we first propose a scalable XML-based archival infrastructure, based on standard tools, and subsequently show how this architecture can be extended to a model-based framework, where higher-level knowledge representations become an integral part of the archive and the ingestion /migration processes. This allows us to maximize infrastructure indepen..