literature in very general and literal terms metadata is information about information. A more precise definition of metadata is “structured data about resources that can be used to help support a wide range of operations” (Day, 2011) While the term metadata is usually attributed to the digital environment some authors such as Jia Liu argue that the practice of utilizing metadata has roots further than the typical application allows. In the text Metadata and Its Applications in the Digital Library:
"Although fully searchable text could, in theory, be retrieved without much metadata in the future, it is hard to imagine how a complex or multimedia digital object that goes into storage of any kind could ever survive, let alone be discovered and used, if it were not accompanied by good metadata" (Abby Smith). Discuss Smith's assertion in the context of the contemporary information environment Introduction In the world of preservation and library science the common focus is on preserving content
enterprise, there is a massive amount of data that can’t be found, but metadata is one of the alternative solution to find the data that people need to get easily and more efficiently. Metadata contains every data that is in enterprises such as the information of the contents, records that they use. The purpose of using metadata is not only using for finding data that they need, but also used in management of informations. Metadata produces a number of benefits to enterprises which are avoiding duplications
The ONIX standards for metadata are XML-based standards intended to facilitate the transfer of bibliographic and production information along the book and e-book production and supply chains. Its origin and development were originally intended to organize and standardize supply chain metadata for the publishing industry, but libraries soon found many benefits to its use, and now several methods of incorporating ONIX data into library catalogs exist. This paper focuses on ONIX for Books, which includes
1. Explain why data security is important. The many aspects of data security are integral and critical with any businesses or home computer user. These areas include Client information, payment/transactional information, individual files, banking information and proprietary intellectual property. These forms of data and information are difficult to replace once lost. Though data security often refers to protection from unwanted hackers, spyware and viruses it, also, comes in the form of natural
Quality Control & Assurance Introduction In identifying the strategic goals of improving student achievement, the school environment, partnership of the community and school staff effectiveness, the “no-child-left-behind” initiative launched by the Ministry of Education (MoE) in Singapore has necessitated the aggregate collection of disparate data from hundreds of primary, secondary and tertiary institutions across the country. The quality of the data obtained from these myriad sources will determine
Data quality is defined as “an inexact science in terms of assessments and benchmarks” [93]. Similarly high quality data can be described as “data that is fit for use by data consumers” [94]. 11.2. Origin of Bad Data There may be different sources from where erroneous data is originated. Data may become dirty if it is mistakenly entered, received from invalid external data source, or when good data is combined with outdated data and there is no way to distinguish between the two. 11.3. Categories
However metadata can also be costly and time consuming, especially if the human element of inputting the information is the primary way of getting the data into the files. Automation of the population of metadata fields is desirable, and with new technologies this is achievable, however it should be ensured that the right information is going into an asset. If
Digital library refers to an electronic library in which collections are stored in electronic media formats as opposed print, microform, or other media and accessible via computers. One of the biggest areas for hardware and software development outside the traditional ILS, digital content management for libraries present itself as the newest moving target in library automation. Sometimes as simple as scanning a document for electronic course reverse, or as complex as state-of-the-art digital management
Abstract. Recent frameworks employ the strategy to define a specific metadata schema for applications to use in their classes and programming elements, enabling framework behavior customization. Despite this technique is being widely used, there are not models, design patterns or development guidelines that aim to help in the creation of this kind of framework. This thesis proposes a conceptual model for metadata-based frameworks that has the aim to identify appropriate solutions for its internal
With advent of digital camera people have been taking more photos than ever [1], as a result our photo collections have been exploding in size. Retrieving the right photograph from these enormous collections comes out as an obvious problem. However it has turned out that people do not have the motivation to do the daunting task of tagging and indexing these huge photo collections [2, 3, 4]. As Fleck M points out [5] that people do not see the usefulness of annotating and indexing of the photographs
which are used to meticulously analyze every text that is licensed to the platform. These adjectival genres were created by analysts who were paid to watch texts, tag them with metadata, and rate them according to content including goriness, romance levels, and even narrative elements like plot conclusiveness. This metadata is combined with the viewing data collected on Netflix’s millions of users to determine the thousands of genres that Netflix uses, while also determining which genres are to be
bluntly, metadata is data about data. As there are two forms of metadata, structural and descriptive metadata, this section will be focusing primarily on descriptive metadata. While the types of metadata has been narrowed down, metadata can still be considered another entity as it contains data of data, so it is possible to give it another name. It is also worth noting that metadata can give information it contains tags in which the information much more detailed (Ashbrook, 2010). Metadata is usually
TestExec will in turn request the data from DBEngine. DBEngine will try to find the keys, metadata from IndexEngine. Then DBEngine will try to fetch the data from either in memory or from shards. • Once the data is received by Item Editor, it edits the data and sends it to DBEngine via TestExec. • The data is then added/updated to/deleted from
Smith to validate the government’s current bulk and arbitrary collection of telephony metadata (Mornin 997). According to a heavily reacted FISC amended memorandum opinion “The production of telephone service provider metadata is squarely controlled by the U.S. Supreme Court decision in Smith v. Maryland … the same type of information is at issue here” (Eagan). Because phone companies are already collecting this metadata for a variety of business purposes, consumers don’t have a reasonable expectation
classified under metadata, and metadata is used to find important information, as supported by the National Information
Islamic-inspired terrorist attacks on the United States since 9/11. Of these sixty, fifty-three were thwarted long before the public was ever in any danger, due in large part to combined efforts of United States law enforcement and intelligence provided by metadata collection
The government’s use of surveillance and metadata collection has greatly increased since the terrorist attacks on September 11, 2001. Many Americans feel that this increase in surveillance is violating their privacy rights and the Constitution. The government can, and should, do everything it can to protect the lives and freedoms of its citizens. The National Security Agency is not violating the Constitution by electronically collecting information from American citizens, and the data collection
1 Introduction As the technology developing, everything becomes computable. And when people realizing the importance of the Internet of Things, more and more data is collected. Analyzing such amount of data becomes a big challenge for modern people. As a very important component of our life, internet becomes indispensable. Data sharing between multiple users becomes more popular. It seems our life will stop if without the internet. The user devices becomes much lighter, most computing and data
considering significant political controversies from the modern era it is evident that the introduction of science often reshapes or reframes the debate. This is particularly evident when analyzing the intersection of pseudoscience, stem cells, metadata, and nanny states with their respective political