Conference Paper

Estimating Digitization Costs in Digital Libraries Using DiCoMo.

DOI: 10.1007/978-3-642-15464-5_15 Conference: Research and Advanced Technology for Digital Libraries, 14th European Conference, ECDL 2010, Glasgow, UK, September 6-10, 2010. Proceedings
Source: DBLP

ABSTRACT The estimate of digitization costs is a very difficult task. It is difficult to make exact predictions due to the great quantity
of unknown factors. However, digitization projects need to have a precise idea of the economic costs and the times involved
in the development of their contents. The common practice when we start digitizing a new collection is to set a schedule,
and a firm commitment to fulfill it (both in terms of cost and deadlines), even before the actual digitization work starts.
As it happens with software development projects, incorrect estimates produce delays and cause costs overdrafts.

Based on methods used in Software Engineering for software development cost prediction like COCOMO and Function Points, and
using historical data gathered during five years at the Miguel de Cervantes Digital Library, during the digitization of more
than 12.000 books, we have developed a method for time and cost estimates named DiCoMo (Digitization Costs Model) for digital
content production in general. This method can be adapted to different production processes, like the production of digital
XML or HTML texts using scanning and OCR, and undergoing human proofreading and error correction, or for the production of
digital facsimiles (scanning without OCR). The accuracy of the estimates improve with time, since the algorithms can be optimized
by making adjustments based on historical data gathered from previous tasks.

0 Bookmarks
 · 
57 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: The estimate of digitization costs is a very difficult task. It is difficult to obtain accurate values because of the great quantity of unknown factors. However, digitization projects need to have a precise idea of the economic costs and the times involved in the development of their contents. The common practice when we start digitizing a new collection is to set a schedule, and a firm commitment to fulfil it (both in terms of cost and deadlines), even before the actual digitization work starts. As it happens with software development projects, incorrect estimates produce delays and cause costs overdrafts. Based on methods used in Software Engineering for software development cost prediction like COCOMO and Function Points, and using historical data gathered during 5 years at the MCDL project, during the digitization of more than 12000 books, we have developed a method for time-and-cost estimates named DiCoMo (Digitization Cost Model) for digital content production in general. This method can be adapted to different production processes, like the production of digital XML or HTML texts using scanning and OCR, and undergoing human proofreading and error correction, or for the production of digital facsimiles (scanning without OCR). The accuracy of the estimates improve with time, since the algorithms can be optimized by making adjustments based on historical data gathered from previous tasks. Finally, we consider the problem of parallelizing tasks, i.e. dividing the work among a number of encoders that will work in parallel.
    International Journal on Digital Libraries 01/2010; 11:141-153.

Full-text

View
1 Download
Available from
Jul 26, 2014