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7 - Indira Gandhi Centre for Atomic Research

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networks. The ef<strong>for</strong>t to meet the cultural imperative of digital preservation thus requires a<br />

complex iteration and reiteration of exploration, development and solution as the relevant<br />

factors and their interrelationships emerge and become clearer and more tractable. And the<br />

first task in the ef<strong>for</strong>t is not to posit answers, but to frame questions and issues in such a<br />

way as to engage the many parties already working in various ways with digital<br />

in<strong>for</strong>mation so that they can help us understand the relevant issues and, within the context<br />

of their work, help us identify, define and incorporate solutions that contribute to the<br />

larger, common goal of preserving our cultural heritage.<br />

9. In<strong>for</strong>mation Objects in the Digital Landscape<br />

In<strong>for</strong>mation objects in digital <strong>for</strong>m, like those in other <strong>for</strong>ms, move through life cycles.<br />

They are created, edited, described and indexed, disseminated, acquired, used, annotated,<br />

revised, re-created, modified and retained <strong>for</strong> future use or destroyed by a complex,<br />

interwoven community of creators and other owners, disseminators, value-added services,<br />

and institutional and individual users. The digital world is still too new <strong>for</strong> us to describe<br />

fully the life cycle of the in<strong>for</strong>mation objects that do now or will in the future reside there,<br />

but what surely unites the community of actors in their various in<strong>for</strong>mation-based<br />

activities is their common purpose in support of the pursuit of knowledge.<br />

The pursuit of knowledge is a process in which the emergence of new knowledge builds<br />

on and reconstructs the old. Knowledge cannot advance without consistent and reliable<br />

access to in<strong>for</strong>mation sources, past and present. It is the archival function in the system of<br />

knowledge creation and use that serves to identify and retain important sources of<br />

in<strong>for</strong>mation and to ensure continuing access to them. How reliable the archival process<br />

proves to be in the emerging digital environment hinges on the trustworthy operation of<br />

digital archives and on their ability to maintain the integrity of the objects they are charged<br />

to preserve<br />

10. Metadata and the Warehouse<br />

Managing metadata is actually a complex endeavor that can cause severe problems if you<br />

do not handle it in the right way. Focusing on metadata can have substantial rewards <strong>for</strong><br />

companies, as long as they approach it in a comprehensive manner. Let us analyze why<br />

this problem is so complex. First, consider what metadata is. In simple terms, metadata is<br />

the in<strong>for</strong>mation about the data stored in databases, and it incorporates the rules about how<br />

to use that in<strong>for</strong>mation.<br />

Most large organizations have a common problem: They have multiple data sources. Each<br />

of these data sources has its own set of predefined rules, naming conventions, and unique<br />

file <strong>for</strong>mats. Even when dealing with a single data source, there are complexities inherent<br />

in metadata. In some cases, there were as many as 10 or 12 different representations of the<br />

same in<strong>for</strong>mation. Because each version had slightly different sources, processing rules,<br />

and <strong>for</strong>matting, it was almost impossible <strong>for</strong> the user or administrator to know which data<br />

source to use under different circumstances.<br />

As you increase the number of data sources, the complexities involved with a data<br />

warehouse increase exponentially. This complexity becomes the problem and concern of<br />

those charged with building and managing the data warehouse. Organizations now must<br />

take in<strong>for</strong>mation from several different data sources and push them together to create the<br />

illusion of a centralized corporate data source. They can take several steps to accomplish<br />

this.<br />

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