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The user, rather than the database itself, typically initiates data curation and maintains metadata. [8] According to the University of Illinois' Graduate School of Library and Information Science, "Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education; curation activities enable data discovery and ...
The term "digital curation" was first used in the e-science and biological science fields as a means of differentiating the additional suite of activities ordinarily employed by library and museum curators to add value to their collections and enable its reuse [12] [13] [14] from the smaller subtask of simply preserving the data, a significantly more concise archival task. [12]
Metadata means "data about data". Metadata is defined as the data providing information about one or more aspects of the data; it is used to summarize basic information about data that can make tracking and working with specific data easier. [15] Some examples include: Means of creation of the data; Purpose of the data; Time and date of creation
With an increase of 5.5% from just 0% of people using the Internet to carry our house sales within the last decade in the UK, figures show that there will be a huge increase to a percentage of 50 by 2018. Figures will hit 70% by 2020, with only a third of the UK population seeking help through traditional methods of real estate agents. [3] [4]
Here are the advantages and disadvantages of renting versus buying a house to consider before making a decision. Renting vs. buying a house: Pros and cons Buying
User-curated shopping (The Fancy, Lyst) – Users create and share lists of products and services for others to shop from. Participatory commerce ( Betabrand , Threadless , Kickstarter ) – Users can get involved in the production process.
A feed of posts curated for a user on the Mastodon social network Algorithmic curation is the selection of online media by recommendation algorithms and personalized searches . Examples include search engine and social media products [ 1 ] such as the Twitter feed , Facebook 's News Feed , and the Google Personalized Search .
Dummy data can be used as a placeholder for both testing and operational purposes. For testing, dummy data can also be used as stubs or pad to avoid software testing issues by ensuring that all variables and data fields are occupied. In operational use, dummy data may be transmitted for OPSEC purposes. Dummy data must be rigorously evaluated ...