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This study examines the collection development policies and procedures of the independent Black schools that belong to the Council of Independent Black Institutions. The primary focus is on, 1) the types of sources used to select and acquire library materials pertaining to the Black experience, and 2) the extent to which the collections of the schools focus on materials documenting Black life and culture. Major findings include, that in the Black independent schools surveyed, 1) Black book stores are the major source of library materials concerning Black life and culture, and 2) in terms of abundance, materials concerning Black people are the most important part of the library collections. This report suggests the need for further research to explore dimensions of resource development in Black schools beyond the scope of the present investigation.

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<p> In the past decade, the role of data has increased exponentially from being the output of a process, to becoming a true corporate asset. As the business landscape becomes increasingly complex and the pace of change increasingly faster, companies need a clear awareness of their data assets, their movement, and how they relate to the organization in order to make informed decisions, reduce cost, and identify opportunity. The increased complexity of corporate technology has also created a high level of risk, as the data moving across a multitude of systems lends itself to a higher likelihood of impacting dependent processes and systems, should something go wrong or be changed. The result of this increased difficulty in managing corporate data assets is poor enterprise data quality, the impacts of which, range in the billions of dollars of waste and lost opportunity to businesses. </p><p> Tools and processes exist to help companies manage this phenomena, however often times, data projects are subject to high amounts of scrutiny as senior leadership struggles to identify return on investment. While there are many tools and methods to increase a companies&rsquo; ability to govern data, this research stands by the fact that you can&rsquo;t govern that which you don&rsquo;t know. This lack of awareness of the corporate data landscape impacts the ability to govern data, which in turn impacts overall data quality within organizations. </p><p> This research seeks to propose a means for companies to better model the landscape of their data, processes, and organizational attributes through the use of linked data, via the Resource Description Framework (RDF) and ontology. The outcome of adopting such techniques is an increased level of data awareness within the organization, resulting in improved ability to govern corporate data assets. It does this by primarily addressing corporate leadership&rsquo;s low tolerance for taking on large scale data centric projects. The nature of linked data, with it&rsquo;s incremental and de-centralized approach to storing information, combined with a rich ecosystem of open source or low cost tools reduces the financial barriers to entry regarding these initiatives. Additionally, linked data&rsquo;s distributed nature and flexible structure help foster maximum participation throughout the enterprise to assist in capturing information regarding data assets. This increased participation aids in increasing the quality of the information captured by empowering more of the individuals who handle the data to contribute. </p><p> Ontology, in conjunction with linked data, provides an incredibly powerful means to model the complex relationships between an organization, its people, processes, and technology assets. When combined with the graph based nature of RDF the model lends itself to presenting concepts such as data lineage to allow an organization to see the true reach of it&rsquo;s data. This research further proposes an ontology that is based on data governance standards, visualization examples and queries against data to simulate common data governance situations, as well as guidelines to assist in its implementation in a enterprise setting. </p><p> The result of adopting such techniques will allow for an enterprise to accurately reflect the data assets, stewardship information and integration points that are so necessary to institute effective data governance.</p>

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<p> Our collective memory, the history that is cultivated through reflection, documentation, and consensus of historical data, is predicated upon the citizenry having access to the historical materials that society has created. Digitization has enabled greater public access to those materials. However, are items being scanned or digitally photographed to create surrogates that are then not made available to the world? The impetus for this study is to delve into whether or not intentional or unintentional personal choices play a role in determining which items archivists transform into digital surrogates; both in the decision of what to digitize and what to make available to the public on the World Wide Web. When one archival collection is prioritized over another or when it is not possible to digitize an entire collection, what rationale is used to determine which items will be digitized and published online? Do intentional or unintentional personal choices come into play in the decision-making? To answer these questions, four case studies were conducted, involving the random sampling of online collections and concomitant interviews of archivists. The purpose of this study is to enhance archivists&rsquo; understanding of the reasons that guide the digitization decision-making process. Through such understanding, archivists can be more proactive in the decision-making process to realize the benefit of digitizing and publishing archival materials that ultimately affect collective memory. The findings of this research revealed that in the case of the four institutions assessed, archivists do use personal choice to determine which materials within an archive are digitized. </p>