Overview of all keyword tags in articles

In information technology, big data consists of datasets that grow so large that they become awkward to work with using on-hand database management tools. Difficulties include capture, storage, search, sharing, analytics, and visualizing. This trend continues because of the benefits of working with larger and larger datasets allowing analysts to "spot business trends, prevent diseases, combat crime." Though a moving target, current limits are on the order of terabytes, exabytes and zettabytes of data. Scientists regularly encounter this problem in meteorology, genomics, connectomics, complex physics simulations, biological and environmental research, Internet search, finance and business informatics. Data sets also grow in size because they are increasingly being gathered by ubiquitous information-sensing mobile devices, aerial sensory technologies (remote sensing), software logs, cameras, microphones, Radio-frequency identification readers, wireless sensor networks and so on." Every day, 2.5 quintillion bytes of data are created and 90% of the data in the world today was created within the past two years. (Excerpt from Wikipedia article: Big data)

Data management comprises all the disciplines related to managing data as a valuable resource. The official definition provided by DAMA International, the professional organization for those in the data management profession, is: "Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise." This definition is fairly broad and encompasses a number of professions which may not have direct technical contact with lower-level aspects of data management, such as relational database management. (Excerpt from Wikipedia article: Data management)

Open data is a philosophy and practice requiring that certain data be freely available to everyone, without restrictions from copyright, patents or other mechanisms of control. It has a similar ethos to a number of other "Open" movements and communities such as open source and open access. However these are not logically linked and many combinations of practice are found. The practice and ideology itself is well established (for example in the Mertonian tradition of science) but the term "open data" itself is recent. Much of the emphasis in this entry is on data from scientific research and from the data-driven web. In some cases open data may be considered as more properly Open Metadata and there is not yet a consistent formalisation. (Excerpt from Wikipedia article: Open data)

A database is a system intended to organize, store, and retrieve large amounts of data easily. It consists of an organized collection of data for one or more uses, typically in digital form. One way of classifying databases involves the type of their contents, for example: bibliographic, document-text, statistical. Digital databases are managed using database management systems, which store database contents, allowing data creation and maintenance, and search and other access. (Excerpt from Wikipedia article: Database)

The British Oceanographic Data Centre (BODC) is a national facility for looking after and distributing data about the marine environment. BODC deal with a range of physical, chemical and biological data, which help scientists provide answers to both local questions (such as the likelihood of coastal flooding) and global issues (such as the impact of climate change). BODC is the designated marine science data centre for the UK's Natural Environment Research Council (NERC). The centre provides a resource for science, education and industry, as well as the general public. BODC is hosted by the National Oceanography Centre (NOC), Liverpool. (Excerpt from Wikipedia article: British Oceanographic Data Centre)

data.gov.uk is a UK Government project to open up almost all non-personal data acquired for official purposes for free re-use. Sir Tim Berners-Lee and Professor Nigel Shadbolt are the two key figures behind the project. The beta version of data.gov.uk has been online since the 30 September 2009 and by January 2010 more than 2,400 developers had registered to test the site, provide feedback and start experimenting with the data. When the project was officially launched in January 2010 it contained 2,500 data sets and developers had already built a site that showed the location of schools according to the rating assigned to them by education watchdog Ofsted. (Excerpt from Wikipedia article: Data.gov.uk)

DataShare, led by Edina, arises from an existing UK consortium of data support professionals working in departments and academic libraries in universities (Data Information Specialists Committee-UK), and builds on an international network with a tradition of data sharing and data archiving dating back to the 1960s in the social sciences. By working together across four universities and internally with colleagues already engaged in managing open access repositories for e-prints, this partnership will introduce and test a new model of data sharing and archiving to UK research institutions. By supporting academics within the four partner institutions who wish to share datasets on which written research outputs are based, this network of institution-based data repositories develops a niche model for deposit of 'orphaned datasets' currently filled neither by centralised subject-domain data archives/centres/grids nor by e-print based institutional repositories (IRs). The project's overall aim is to contribute to new models, workflows and tools for academic data sharing within a complex and dynamic information environment which includes increased emphasis on stewardship of institutional knowledge assets of all types; new technologies for doing e-Research; new research council policies and mandates; and the growth of the Open Access / Open Data movement. Project start date: 2007-03-01. Project end date: 2009-03-31. (Excerpt from this source)

UKOLN was asked to undertake a small-scale consultancy for JISC to investigate the relationships between data centres and institutions which may develop data repositories. The resulting direction-setting report will be used to advance the digital repository development agenda within the JISC Capital programme (2006 - 2009), to assist in the co-ordination of research data repositories and to inform an emerging Vision and Roadmap. The study includes a synthesis of some of the lessons learned from the projects within the Digital Repositories programme that were concerned with research data. Project start date: 2006-11-01. Project end date: 2007-05-31. (Excerpt from this source)

Microdata is a WHATWG HTML5 specification used to nest semantics within existing content on web pages. Search engines, web crawlers, and browsers can extract and process Microdata from a web page and use it to provide a richer browsing experience for users. Microdata use a supporting vocabulary to describe an item and name-value pairs to assign values to its properties. Microdata helps technologies such as search engines and web crawlers better understand what information is contained in a web page, providing better search results. Microdata is an attempt to provide a simpler way of annotating HTML elements with machine readable tags than the similar approaches of using RDFa and Microformats. (Excerpt from Wikipedia article: Microdata)