Sentence examples for digitization technical from inspiring English sources

Some scholars (e.g. Tilson et al. 2010a; Yoo et al. 2010b) make a semantic distinction between digitization (technical process) and digitalization (social-technical process of applying digital technology to social contexts).

This course seeks to problematize these claims by examining theories of digitization, democracy, and technical society.

This study relinquishes this differentiation due to the fact that in the context of the digital economy digitization cannot be understood without its social-technical implications.

Recently, there has been a shifting focus of organizations and governments towards digitization of academic and technical documents, adding a new facet to the concept of digital libraries.

The research does not focus on technical components of digitization, as literature on this field is complete.

Before celebrating the data revolution for sustainable development and technical innovations like digitization and visualization, we feel that it is imperative for all stakeholders to ensure that the data revolution is designed and implemented based on transparency, freedom of speech, mutual accountability, including authentic participation of the public, especially the most marginalized.

In order to assess how the technical error sources (digitization error, preparation method, small sample size) and the biological, non-genetic factors such as age, size and plasticity might add up to influence the final shape measurements, we ran the following simulation using R and MorphoJ.

Mass digitization does not consist merely of neutral technical processes, Thylstrup argues, but of distinct subpolitical processes that give rise to new kinds of archives and new ways of interacting with the artifacts they contain.

However, technical content quality management in digitization workflows strongly relies on human monitoring.

With respect to the management of technical content quality, today's digitization workflows heavily rely on human monitoring and decision making [7].

To sum up, tools for automated quality analysis are a prerequisite for the management of technical content quality in mass digitization environments--not only in the cultural heritage domain, but across various types of organizations that still depend on printed analog media like for example the financial sector, jurisprudence, and health care sector.