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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010361</journal-id>
      <journal-title>Archiving Conference</journal-title>
      <abbrev-journal-title>archiving</abbrev-journal-title>
      <issn pub-type="ppub">2161-8798</issn><issn pub-type="epub"/>
      <publisher>
        <publisher-name>Society for Imaging Science and Technology</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta><article-id pub-id-type="doi">10.2352/issn.2168-3204.2014.11.1.art00009</article-id>
      <article-id pub-id-type="sici">2161-8798(20140601)2014:1L.40;1-</article-id>
      <article-id pub-id-type="publisher-id">s9.phd</article-id>
      <article-id pub-id-type="other">/ist/ac/2014/00002014/00000001/art00009</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Structured and Unstructured Data Retention Solution</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Rajecki</surname>
            <given-names>Keith Richard</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>06</month>
        <year>2014</year>
      </pub-date>
      <volume>2014</volume>
      <issue>1</issue>
      <fpage>40</fpage>
      <lpage>41</lpage>
      <permissions>
        <copyright-year>2014</copyright-year>
      </permissions>
      <abstract>
        <p>Data Retention solutions are increasingly important as the world becomes more digital. These solutions help museums, national libraries, governments, educational institutions, and corporations world-wide capture and manage institutional assets. Data Retention provides a means of organizing
 institutional data while providing greater levels of access and controls.Today's Data Retention solutions must be extensible to meet the evolving business needs of Big Data and Cloud Computing. While Hierarchical Storage Solutions and tiered storage provide the most reliable and cost effective
 solution, access and performance requirements are also important design factors. If architected incorrectly, data searching and retrieval can be time consuming and costly. Traditional tape-only archival methods simply do not meet the access requirements of many of today's repositories and
 long-term archives. Likewise, storing all the data on disk requires greater administration and is more costly. The proposed Data Retention solution provides a proven solution with a balance between disk, tape, and cloud storage to support long term archiving of structured and unstructured
 data.</p>
      </abstract>
    </article-meta>
  </front>
</article>
