No-nonsense Guide to Born-digital Content

<p >This book offers a comprehensive, entry-level guide that
focuses explicitly on how to collect and manage born-digital content for &#145;boots
on the ground&#146; practitioners. </p>
<p >Libraries and archives of all sizes are collecting and
managing an increasing proportion of digital content. Within this body of
digital content is a growing pool of &#145;born-digital&#146; content: content that has
been created and has often existed solely in digital form. Providing continued,
sustainable access to a wide array of born-digital content is a challenge for
libraries and archives, particularly because of the broad and highly technical
skills needed to build and sustain born-digital content management workflows. </p>
<p ><i>The No-Nonsense Guide
to Born Digital Content</i> provides an entry level how-to guide that aims to
help ease inexperienced students and practitioners into this area. It explains
step by step processes for developing and implementing born-digital content
workflows in library and archive settings of all sizes and includes a range of
case studies collected from small, medium and large institutions
internationally. </p>
<p >Including:</p>
<p ><ul>
<li>the wide range of digital storage
media and why this is different to, and similar to, existing content</li>
<li>the various sources of
born-digital content and how they are appraised and considered for collection</li>
<li>retrieving and preparing content
to allow it to be brought into the library or archive</li>
<li>storage systems and applying
archival arrangement philosophies</li>
<li>description, preservation and
access</li>
<li>methods for designing workflows
for born-digital collection processing</li>
<li>strategies and philosophies to
move forward as technologies change.</li>
</ul>
</p>
<p >This book will be useful reading for LIS and archival
students and professionals who are working with, or plan to work with, born
digital content. It will also be of interest to museum professionals, data
managers, data scientists, and records managers.&#160;</p>