of dollars Time lack of enough time to deal with large scale data cleansing software Security ...distinguish Sanitization classified information Data cleansing , data cleaning , or data scrubbing is the process ... incomplete, incorrect, inaccurate, irrelevant, etc. parts of the data and then replacing, modifying, or deleting this dirty data . After cleansing, a data set will be consistent with other similar data sets in the system. The inconsistencies detected or removed may have been originally caused by user entry errors, by corruption in transmission or storage, or by different data dictionary definitions of similar entities in different stores. Data cleansing differs from data validation in that validation almost invariably means data is rejected from the system at entry and is performed at entry time, rather than on batches of data. The actual process of data cleansing may involve removing ... Administratively, incorrect or inconsistent data can lead to false conclusions and misdirected investment ... and services. In this case, it will be important to have access to reliable data to avoid erroneous fiscal decisions. In the business world, incorrect data can be costly. Many companies use customer information database s that record data like contact information, addresses, and preferences. For instance ... losing customers. Data quality High quality data needs to pass a set of quality criteria. Those include ... data containing anomalies Validity approximated by the amount of data satisfying integrity constraints ... in the data and the number of total values ought to be known The process of data cleansing Data auditing The data is audited with the use of statistical methods to detect anomalies and contradictions ... on the data known as the workflow. It is specified after the process of auditing the data and is crucial in achieving the end product of high quality data. In order to achieve a proper workflow, the causes of the anomalies and errors in the data have to be closely considered. For instance, if we ... more details
http datalossdb.org Data Loss Database Open Security Foundation s research project documenting data loss incidents worldwide. http www.databreaches.net Office of Inadequate Security , Breach incidents ... Magazine Data Breach Blog. Category Datasecurity Category Computer security Category Secure communication ...A data breach is the intentional or unintentional release of secure information to an untrusted environment. Other terms for this phenomenon include unintentional information disclosure , data leak and also data spill . Incidents range from concerted attack by black hat s with the backing of organized crime or Central government national governments to careless disposal of used computer equipment or data storage media. Definition A data breach is a security incident in which sensitive, protected or confidential data is copied, transmitted, viewed, stolen or used by an individual unauthorized to do so. Data breaches may involve financial information such as credit card or bank details, personal ... in security breaches in the United States between January 2005 and May 2008, excluding incidents where sensitive data was apparently not actually exposed. ref name pri Definition This may include incidents such as theft or loss of digital media such as Magnetic tape data storage computer tapes , hard ... from the Internet without proper information security precautions, transfer of such information ... for security at the approved level, such as unencrypted e mail , or transfer of such information ... Security Oversight Office ref Trusted environment The notion of a trusted environment is somewhat fluid. The departure of a trusted staff member with access to sensitive information can become a data breach if the staff member retains access to the data subsequent to termination of the trust relationship. In distributed systems, this can also occur with a breakdown in a web of trust . Data privacy ... security number s, etc. . Loss of corporate information such as trade secret s, sensitive corporate ... more details
Decrease the risk of regulatory fines Improve datasecurity Maximize the income generation potential ... Statistician Proprietary DAVIX Operating System with data tools Security Consultant Various ...File WorldWideWebAroundWikipedia.png thumb right A data visualization of Wikipedia as part of the World Wide Web , demonstrating hyperlink s Data visualization is the study of the visual representation of data , meaning information that has been abstracted in some schematic form, including attributes ... graphics, and data visualization . ref Overview Image Kencf0618FacebookNetwork.jpg right thumb A data visualization from social media According to Friedman 2008 the main goal of data visualization is to communicate information clearly and effectively through graphical means. It doesn t mean that data ... insights into a rather sparse and complex data set by communicating its key aspects in a more ... data visualizations which fail to serve their main purpose to communicate information . ref Vitaly Friedman 2008 http www.smashingmagazine.com 2008 01 14 monday inspiration data visualization and infographics Data Visualization and Infographics in Graphics , Monday Inspiration, January 14th, 2008 ... Viegas and Martin Wattenberg, How To Make Data Look Sexy , CNN.com, April 19, 2011. http articles.cnn.com 2011 04 19 opinion sexy.data 1 visualization 21st century engagement? s PM OPINION ref Data visualization ... , and statistical graphics . In the new millennium, data visualization has become an active ... Pierre Bonneau 2002 . http visualisation.tudelft.nl publications post2003b.pdf Data Visualization ..., data visualization has also been linked to enhancing agile software development and customer engagement ... chart displaying various data visualization methods http www.visual literacy.org periodic table periodic table.html . It details 6 types of data visualization methods data, information, concept, strategy, metaphor and compound. Citation needed date December 2010 Data visualization scope There are different ... more details
security , and extended data type s. ref Base One International Corp., http www.boic.com b1ddic.htm ...Distinguish Dictionary data structure A data dictionary , or metadata Software repository repository , as defined in the IBM Dictionary of Computing , is a centralized repository of information about data such as meaning, relationships to other data, origin, usage, and format. ref ACM, http portal.acm.org ... that extends or supplants the native data dictionary of a DBMS Documentation The term Data Dictionary and Data Repository are used to indicate a more general software utility than a catalogue. A Catalogue ... enforcer. On the other hand, a Data Dictionary is a data structure that stores meta data, i.e., data about data. The Software package for a stand alone Data Dictionary or Data Repository may ... as well as other information relevant to system administration. If a data dictionary system is used ... Data Dictionary otherwise, it is called an Active Data Dictionary or Data Dictionary . An Active Data Dictionary is automatically updated as changes occur in the database. A Passive Data Dictionary must be manually updated. The data Dictionary consists of record types tables created in the database ... and Application software application developers can benefit from an authoritative data dictionary document ..., SearchSOA , http searchsoa.techtarget.com sDefinition 0,,sid26 gci211896,00.html What is a data ... and Column database fields in each database, plus additional details, like the Data type type and length of each data element . There is no universal standard as to the level of detail in such a document, but it is primarily a weak kind of data. Middleware In the construction of database applications, it can be useful to introduce an additional layer of data dictionary software, i.e. middleware , which communicates with the underlying DBMS data dictionary. Such a high level data dictionary may ... low level data dictionary, whose primary purpose is to support the basic functions of the DBMS, not the requirements ... more details
advert date May 2011 Image Tech data hq 061006.jpg thumb Tech Data HQ 5350 Tech Data Dr, Clearwater, FL 33760 Taken from the parking lot looking east late on an October afternoon. Tech Data Corporation NYSE TECD is a wholesale distributor of technology products. Headquartered in Clearwater, FL. Tech Data generated 24.4 billion in net sales for the fiscal year ended January 31, 2011 and is ranked 109th on the http money.cnn.com magazines fortune fortune500 2010 full list 101 200.html Fortune 500 . Founded in 1974 by Edward C. Raymund, father of the company s Chairman and former Chief Executive Officer Steven A. Raymund, Tech Data s original charter was to market data processing supplies directly to end users of mini and mainframe computers. In 1983, the company expanded its target markets and redirected efforts toward servicing microcomputer resellers as a wholesale distributor. Tech Data employed about a dozen people during its formative years and handled all customer orders from a small ... 2011 a partnership was signed with Internet Security service company Webroot to make Webroot s security services available to Tech Data s resellers in North America. ref http www.crn.com news security 231002777 webroot broadens reach with tech data distribution deal.htm jsessionid Hv2Qu71Eeyj8YeftvsKt6g .ecappj01 CRN, July 27, 2011, Webroot Broadens Reach With Tech Data Distribution Deal ref In September 2011 Tech Data also partnered with NEC Display Solutions and now offers content creation ... en Business Wire. September 26. 2011, Tech Data Partners With NEC Display Solutions To Provide Custom Content ref External links http www.techdata.com Tech Data website http www.hoovers.com tech data ID 14882 free co factsheet.xhtml?cm ven PAID&cm cat BUS&cm pla CO1&cm ite Tech Data Corp Tech Data Corporation information and related industry information from Hoover s references Category Companies ... de Tech Data fr Tech Data ... more details
Data transformation inline date June 2010 Data mapping is the process of creating data element Map mathematics mapping s between two distinct data model s. Data mapping is used as a first step for a wide variety of data integration tasks including Data transformation or data mediation between a data source and a destination Identification of data relationships as part of data lineage analysis Discovery of hidden sensitive data such as the last four digits social security number hidden in another user id as part of a data masking or de identification project Data consolidation Consolidation of multiple databases into a single data base and identifying redundant columns of data for consolidation ... with other companies might use data mapping to create data maps from a company s data to standardized ... Electronic Data Interchange EDI standards designed to allow a company law company to exchange data with any other company, regardless of industry. The standards are maintained by the Accredited ... Language OWL and standardized metadata registry will make data mapping a more automatic process. This process ... data mapping is a very difficult problem see Semantic translation . Hand coded, graphical manual Data ... tools that allow a user to draw lines from fields in one set of data to fields in another. Some graphical data mapping tools allow users to Auto connect a source and a destination. This feature is dependent on the source and destination data element name being the same. Transformation programs ..., Load Tools as the primary means of entering data maps to support data movement. Data driven mapping This is the newest approach in data mapping and involves simultaneously evaluating actual data values in two data sources using heuristics and statistics to automatically discover complex mappings between two data sets. This approach is used to find transformations between two data sets and will discover ... logic. This approach also discovers data exceptions that do not follow the discovered transformation ... more details
January 2012 meaningless data onto all of a hard drive s sectors. There are key differentiators between data erasure and other overwriting methods, which can leave data intact and raise the risk of data breach or Data breach spill , identity theft and failure to achieve regulatory compliance. Many data eradication programs also provide multiple overwrites so that they support recognized government and industry standards. Good software should provide verification of data removal, which is necessary for meeting certain standards. To protect data on lost or stolen media, some data erasure applications remotely destroy data if the password is incorrectly entered. Data erasure tools can also target specific data on a disk for routine erasure, providing a hacker computer security hacking protection ... commonly hold large volumes of confidential data. Social security numbers, credit card numbers ... Gramm Leach Bliley Act Gramm Leach Bliley Sarbanes Oxley Act SOx and Payment Card Industry DataSecurity Standards Payment Card Industry DataSecurity Standard PCI DSS and the Data Protection Act in the United ... erasure offers complete security by destroying data on all areas of a hard drive. Disk overwriting ... Clearing and Declassifying Electronic Data Storage Devices ITSG 06 publisher Communications Security ... of the data on the disk drive. The U.S. National Security Agency published an Information Assurance ... security Sanitization classified information Security Notes reflist 2 Data Erasure Use dmy dates date ...Data erasure also called data clearing or data wiping is a software based method of overwriting data that completely destroys all Data remanence electronic data residing on a hard disk drive or other digital media . Permanent data erasure goes beyond basic file deletion commands, which only remove direct pointers to data disk sector s and make data recovery possible with common software tools. Unlike degaussing and physical destruction, which render the storage media unusable, data erasure removes ... more details
and confidence in decision making Decreasing the risk of regulatory fines Improving information securitydatasecurity Maximizing the income generation potential of data Designating accountability for information ...Data governance is an emerging discipline with an evolving definition. The discipline embodies a convergence of data quality, data management, data policies, business process management, and risk management surrounding the handling of data in an organization. Through data governance, organizations are looking to exercise positive control over the processes and methods used by their data stewards and Data custodian data custodians to handle data. Data governance is a set of processes that ensures that important data assets are formally managed throughout the enterprise. Data governance ensures that data ... of low data quality. It is about putting people in charge of fixing and preventing issues with data so that the enterprise can become more efficient. Data governance also describes an evolutionary ... control of their data, they empower their people, set up processes and get help from technology to do it. ref name sarsfield Sarsfield, Steve 2009 . The Data Governance Imperative , IT Governance. ref There are some commonly cited vendor definitions for data governance. Data governance is a quality ... servicemanagement data governance.html title IBM Data Governance webpage accessdate 2008 07 09 ..., under what circumstances, using what methods. ref name Data Governance Institute Data Governance Framework cite web url http datagovernance.com dgi framework.pdf title Data Governance Institute Data Governance Framework ref Overview Data governance encompasses the people, processes, and information technology required to create a consistent and proper handling of an organization s data across ... Acknowledge and hold all gains These goals are realized by the implementation of Data governance programs, or initiatives using Change Management techniques. Data governance drivers While data governance ... more details
Secondary data , is data collected by someone other than the user. Common sources of secondary data for social science include censuses, organizational records and data collected through qualitative methodologies or qualitative research . Primary data, by contrast, are collected by the investigator conducting the research. Secondary data analysis saves time that would otherwise be spent collecting data and, particularly in the case of quantitative data, provides larger and higher quality databases ... of social and economic change consider secondary data essential, since it is impossible to conduct a new survey that can adequately capture past change and or developments. Sources of secondary data As is the case in primary research, secondary data can be obtained from two different research strands Quantitative Census, housing, social security as well as electoral statistics and other related ... documents. A clear benefit of using secondary data is that much of the background work needed has ... contacts have also been utilized. This wealth of background work means that secondary data generally ... not be re examined by the researcher who is re using such data. Furthermore, secondary data can also ... the collected primary data results can be compared to. Therefore, it is always wise to begin any research activity with a review of the secondary data. Secondary analysis or re use of qualitative data Qualitative data re use provides a unique opportunity to study the raw materials of the recent ... analysis of qualitative data, good documentation can not be underestimated as it provides necessary ... data beyond primary secondary dualism , Sociological Research Online Online , Special Section on Reusing Qualitative Data, 12 3 http www.socresonline.org.uk 12 3 2.html ref . Actually one could go as far as claim that qualitative secondary data analysis can be understood, not so much as the analysis of pre existing data rather as involving a process of re contextualising, and re constructing, data ... more details
or area specified. Incorrect data validation can lead to data corruption or a software security vulnerability security vulnerability . Data validation checks that data are valid, sensible, reasonable ... security Category Data quality ar simple Data validation ...In computer science , data validation is the process of ensuring that a program operates on clean, correct and useful data. It uses routines, often called validation rule s or check routines , that check for correctness, meaningfulness, and security of data that are input to the system. The rules may be implemented through the automated facilities of a data dictionary , or by the inclusion of explicit application program validation logic. For business applications, data validation can be defined through declarative programming declarative data integrity rules, or imperative programming procedure based business rules . ref http msdn.microsoft.com en us library aa291820 VS.71 .aspx Data Validation, Data Integrity, Designing Distributed Applications with Visual Studio .NET ref Data that does not conform to these rules will negatively affect business process execution. Therefore, data validation ... can be collected through the requirements capture exercise. ref Arkady Maydanchik 2007 , Data Quality Assessment , Technics Publications, LLC ref The simplest data validation verifies that the characters ..., and brackets . A more sophisticated data validation routine would check to see the user had entered ... based security attack. An e mail address might require exactly one sign and various other structural details. Regular expression s are effective ways of implementing such checks. See also data type ... employee left organisation Cardinality 0 . Check digits Used for numerical data. An extra digit ... data are entered. For example the last digit of an ISBN for a book is a check digit calculated Modular ... to ensure data in these fields corresponds, e.g., If Title Mr. , then Gender M . Control totals ... more details
chance of disruption. Information security is also a concern, and for this reason a data center has to offer a secure environment which minimizes the chances of a security breach. A data center must ... data centers run more efficiently. Securing In modern data centers, the security of data on virtual ... Research, Securing the Data Center Transformation Aligning Security and Data Center Dynamics, http lippisreport.com 2011 05 securing the data center transformation aligning security and data center dynamics ref The security of a modern data center must take into account physical security, network security, and data and user security. Carrier neutrality Today many data centers are run by Internet ... services can affect costs, risk, security and other factors to be taken into consideration for data ... data centers. But some are still recommending under raised floor cabling for security reasons ... 51 ref standards. Security Physical security also plays a large role with data centers. Physical ... s. ref http www.csoonline.com article 220665 19 Ways to Build Physical Security Into a Data Center ref Video camera surveillance and permanent security guard s are almost always present if the data ... Room of a data center. A data center or data centre or computer centre also datacenter or datacentre ... and storage systems. It generally includes redundant or backup power supplies, redundant data communications connections, environmental controls e.g., air conditioning, fire suppression and security devices. History Data centers have their roots in the huge computer rooms of the early ages of the computing .... Security was important computers were expensive, and were often used for military purposes ... the servers in a specific room inside the company. The use of the term data center, as applied ... of data centers came during the dot com bubble . Companies needed fast Internet connectivity and nonstop ... Internet data centers IDCs , which provide businesses with a range of solutions for systems deployment ... more details
, Security ref Increased manpower requirements to manage increasingly chaotic data storage resources ...Data proliferation refers to the prodigious amount of data , structured data structured and unstructured ... problems that result from attempting to store and manage that data. While originally pertaining to problems associated with paper documentation , data proliferation has become a major problem in primary and secondary data storage device data storage on computers. While digital storage has become cheaper ... not kept up with the proliferation of data. Although the power required to maintain a unit of data ... url http www.deloitte.co.uk TMTPredictions technology Downsizing digital attic data storage.cfm title ... web 20110722194032 http www.deloitte.co.uk TMTPredictions technology Downsizing digital attic data storage.cfm ... spawn large amounts of data. Business e mail some of it important to the enterprise, some much less ... pdf toxic tb.pdf The Toxic Terabyte , IBM Global Technology Services, July 2006 ref Data proliferation ... of the Data Proliferation Problem within Major Air Force Acquisition Programs. ref Efforts to mitigate data proliferation and the problems associated with it are ongoing. ref http www.thic.org pdf Jun02 dod.rroderique.020612.pdf Data Proliferation Stop That ref Problems caused The problem of data ... data storage devices. This has made it very easy to dump data into secondary storage immediately ... of businesses and the efficient functioning of health services, police and security forces, local and national governments, and many other types of organization. ref name IBM Data proliferation ... en home News.asp?id 40615&cid 13 Dealing with data proliferation Vawn Himmelsbach. it business.ca ... data storage, problems finding electronic data are analogous to problems finding hard copy data. Data loss and legal liability when data is disorganized, not properly replicated, or cannot ... customers that a Magnetic tape data storage tape containing confidential information had been ... more details
time to deal with large scale data cleansing software Security concerns over sharing information ...Data are of high quality if they are fit for their intended uses in Business operations operations , decision ..., the data are deemed of high quality if they correctly represent the real world construct to which they refer. Furthermore, apart from these definitions, as data volume increases, the question of data consistency internal consistency within data becomes paramount, regardless of fitness for use .... The first views can often be in disagreement, even about the same set of data used for the same purpose. This article discusses the concept as it related to business data processing, although of course other data have various quality issues as well. Definitions 1. Data exhibited by the data ..., timeliness and accuracy that makes data appropriate for a specific use. http www.cio.gov.bc.ca ... of data that bears on their ability to satisfy a given purpose the sum of the degrees of excellence for factors related to data. http www.hanford.gov dqo glossaries Glossary of Quality Assurance ... of data quality terms published by http iaidq.org IAIDQ 5. Data quality The processes and technologies involved in ensuring the conformance of data values to business requirements and acceptance criteria ... were used to maintain name and address data so that the mail could be properly routed to its destination ... and address data, as well as to track customers who had moved, died, gone to prison, married, divorced, or experienced other life changing events. Government agencies began to make postal data available to a few service companies to cross reference customer data with the National Change of Address ... compared to manually correcting customer data. Large companies saved on postage, as bills and direct ... as a service, data quality moved inside the walls of corporations, as low cost and powerful server technology ... on name and address information, but data quality is recognized as an important property of all types ... more details
File Restricted Data stamp.jpg right thumb A Restricted Data stamp on a United States Atomic Energy Commission Atomic Energy Commission document from the 1950s. Restricted Data RD is a category of classified information in the United States . Specifically, it is defined by the Atomic Energy Act of 1954 as all data concerning 1 design, manufacture, or utilization of nuclear weapons atomic weapons 2 the production of special nuclear material or 3 the use of special nuclear material in the production of energy, but shall not include data declassified or removed from the Restricted Data category pursuant to section 142 of the Act . ref http www.nrc.gov reading rm doc collections nuregs staff sr0980 ... . The fact that its legal definition includes all data except that already specifically declassified ... case and national security location New York publisher Pergamon Press year 1981 isbn 0 08 025995 2 ref Access to Restricted Data requires a United States Department of Energy Department of Energy ... Brookings Institution Press, 1998 433 483 figures from Box 8 4, Typical Costs of Security Investigations , on 461. ref Restricted Data should not be confused with the classification category of Classified information Restricted Restricted , a relatively low category of classification. Restricted Data ... Data is not an exclusive form of classification a document can be classified as containing Restricted Data and also be given a classification of Top Secret, Secret, or Confidential. Formerly Restricted Data is a category also designated in the Atomic Energy Act of 1954. Despite its name, it does ... specifically for the purpose of sharing amongst military agencies as National Security Information . It is defined as Classified information which has been removed from the Restricted Data category ... as national security information. ref https www.osti.gov opennet forms.jsp?formurl od rdfrdhtm.html I4 U.S. Department of Energy, An Overview of the Restricted Data and Formerly Restricted Data ... more details
Update date September 2011 Infobox company company name Switch and Data Facilities Company, Inc. company logo Deleted image removed Image Switch & Data logo png.png company type Public foundation 1998 ..., FL , USA key people Keith Olsen , CEO num employees 339 est 2008 products Datacenter Data Centers homepage industry Internet revenue 171,525 million U.S. Dollar USD 2008 Switch and Data Facilities Company, Inc. was a United States U.S. public corporation that provided network neutral data center ... http www.switchanddata.com Content AboutUs.aspx title About Us, Switch and Data Official Site accessdate 2009 07 01 publisher switchanddata.com ref Switch and Data was acquired by Equinix in 2010. Switch and Data s solutions leverage services clarify date December 2011 including Colocation business colocation , interconnection , network connectivity and peering from 34 data center locations. Typically, customers look to Switch and Data to add scale and interconnectivity to their networks to support increases in IP and network traffic volumes. In addition, customers use Switch and Data s data center facilities to house and power their network infrastructure. In 2008 Switch and Data expanded by adding over a quarter million square feet of data center capacity, an increase of 34 of their total ... 3d 3d title Switch and Data Form 10 K ref Today, Switch and Data s footprint ... announced a 75 million capex budget for further expansion in 2009. Switch and Data recently launched ... latency data aggregation and distribution. ref name annualreport Company history Image nj site.jpg thumb Switch and Data s North Bergen, New Jersey Data Center Site Location Switch and Data was founded in 1998. ref name aboutus In March 2003, Switch and Data acquired PAIX , the world s first commercial Internet peering exchange. The PAIX acquisition gave Switch and Data and strong presence in global .... ref name aboutus Between 2004 and 2005, Switch and Data purchased RACO, Meridian Telesis ... more details
date March 15, 2007 ref In particular, data mining government or commercial data sets for national security ... Security Connecting the Dots to Make Sense of Data url http www.stlr.org cite.cgi?volume 5&article 2 ... the data and use the data and their derivatives the status of security surrounding access to the data ... analytics Data mining in agriculture National Security Agency Transaction data mining National Security Agency Police enforced ANPR in the UK Data mining Police enforced ANPR in the UK Quantitative ...Distinguish analytics information extraction data analysis Data mining the analysis step of the Knowledge ... field of computer science , ref name acm cite web url http www.sigkdd.org curriculum.php title Data ... Definition of Data Mining year 2010 url http www.britannica.com EBchecked topic 1056150 data ... data set s. It utilizes methods at the intersection of artificial intelligence , machine learning , statistics , and database system s. ref name acm The overall goal of the data mining process is to extract knowledge from an existing data set and transform it into a human understandable structure for further use. ref name acm Besides the raw analysis step, it involves database and data management aspects, Data Pre processing data preprocessing , statistical model model and Statistical inference ... considerations, post processing of found structures, Data visualization visualization , and Online algorithm ... form of large scale data or information processing collection, information extraction extraction , Data warehouse warehousing , data analysis analysis , and statistics but is also generalized to any ... Data mining Practical machine learning tools and techniques with Java ref name witten cite book author1 Ian H. Witten author2 Eibe Frank author3 Mark A. Hall title Data Mining Practical Machine Learning ... , and the term data mining was only added for marketing reasons. ref Cite journal title WEKA ... machine learning , was changed ... The term data mining was added primarily for marketing reasons. postscript ... more details
to create realistic data. ref name Deng Deng, R. 2002 . Information and Communications Security . Proceedings ...Synthetic data are any production data applicable to a given situation that are not obtained by direct ... Synthetic data. n.d. . McGraw Hill Dictionary of Scientific and Technical Terms . Retrieved November 29, 2009, from Answers.com Web site http www.answers.com topic synthetic data ref where Craig S. Mullins, an expert in data management, defines production data as information that is persistently ..., February 5 . What is Production Data? Message posted to http www.neon.com blog blogs cmullins archive 2009 02 05 What is Production Data 3F00 .aspx ref The creation of synthetic data is an involved process of data Anonymity anonymization that is to say that synthetic data is a subset of anonymized data. ref name MachanavajjhalaEtAl Cite journal authorlink Ashwin Machanavajjhala, Daniel Kifer ... 2008 IEEE 24th International Conference on Data Engineering doi 10.1109 ICDE.2008.4497436 pages 277 ... last4 Gehrke first4 Johannes last5 Vilhuber first5 Lars ref Synthetic data is used in a variety of fields ... aspects of the data. Many times the particular aspects come about in the form of human information i.e. name, home address, IP address , telephone number, social security number, credit card number, etc. . Usefulness Synthetic data are generated to meet specific needs or certain conditions that may not be found in the original, real data. This can be useful when designing any type of system because the synthetic data are used as a simulation or as a theoretical value, situation, etc. This allows ... to be unsatisfactory. Synthetic data are often generated to represent the authentic data and allows ... test data for fraud detection systems. Manuscript submitted for publication, Department of Computer ... stamp stamp.jsp?tp &arnumber 1254343&isnumber 28060 ref Another use of synthetic data is to protect privacy and confidentiality of authentic data. As stated previously, synthetic data is used ... more details
August 2010 Data Integrity in its broadest meaning refers to the trustworthiness of information over ... into six categories which include data rules. Data is further subdivided Data Integrity Rules, data sourcing rules, data extraction rules, data transformation rules and data deployment rules. Data Integrity is very important in database operations in particular and Data Warehousing and Business Intelligence in general. Because Data Integrity ensured that data is of high quality, correct, consistent and accessible, in is important to follow rules governing Data Integrity. A data value Data Value Rule or Conditional Data Value Rule specifies data domains. The difference between the two is that the former specifies the domain of allowable values for a data attribute which applies to all ... conditions that applies. data structure Data Structure Rule defines that cardinality of data for a data ... data structure very easy to understand. A conditional data structure rule is slightly different in that is governs when conditions or exceptions apply on data cardinality for a data relation. A data derivation Data Derivation Rule specifies the how a data value is derived based on algorithm, contributors and conditions. It also specifies the conditions on how the data value could be re derived. A data retention Data Retention rule specifies the length of time of data values which can should be retained in a particular database. It is specifies what can be done with data values when its validity or usefulness for a database expires. A data occurrence retention rule specifies the length of time the data occurrence is to be retained and what can be done with data when it is no longer considered useful. A data attribute retention rule is similar to a data retention rule but the data attribute retention rule only applies to specific data values rather than the entire data occurrence. These Data ... and enforced. In order to achieve Data Integrity, these rules should be consistently and routinely ... more details
prohibit or severely limit data sharing to protect proprietary interests, national security, and subject patient victim confidentiality. Data sharing especially photographs and graphic descriptions of animal research may also be restricted to protect institutions and scientists from misuse of data for political purposes by animal rights extremists. Data and methods may be requested from an author years after publication. In order to encourage data sharing and prevent the loss or corruption of data, a number of funding agencies and journals established policies on Scientific data archiving data archiving . Access to publicly archived data is a recent development in the history of science ...Data sharing is the practice of making data used for scholarly research available to other investigators ... have policies regarding data sharing because transparency and openness are considered by many ... of Peer review peer review ed papers to share any supplemental information raw data, statistical .... A great deal of scientific research is not subject to data sharing requirements, and many of these policies have liberal exceptions. In the absence of any binding requirement, data sharing is at the discretion ... on data sharing and archiving, data withholding still happens. Authors may fail to archive data or they only archive a portion of the data. Failure to archive data alone is not data withholding ... CJ, Vickers AJ, 2009 Empirical Study of Data Sharing by Authors Publishing in PLoS Journals. PLoS ONE 4 9 e7078. doi 10.1371 journal.pone.0007078 ref . When authors withhold data like this, they run ... of data and research between agencies, the public and policymakers. See Section 1009. ref name H.R. 2272 http commdocs.house.gov reports 110 h2272.pdf America COMPETES Act ref NIH data sharing policy Quote The National Institutes of Health NIH Grants Policy Statement defines data as recorded information ... manuals, forms, diagrams, work flow charts, equipment descriptions, data files, data processing ... more details
may also be problematic in high security environments which require stronger controls on data commingling ... and Declassifying Electronic Data Storage Devices publisher Communications Security Establishment month ... DEFAULTSORT Data Remanence Category Datasecurity Category Computer storage ar de ...Data remanence is the residual representation of data that remains even after attempts have been made to remove or erase the data. This residue may result from data being left intact by a nominal file deletion operation, by reformatting of storage media that does not remove data previously written to the media, or through physical properties of the data storage device storage medium that allow previously written data to be recovered. Data remanence may make inadvertent disclosure of information sensitivity ... been developed to counter data remanence. These techniques are classified as Clearing clearing , Purging ... of data throughout the data s life cycle, and persistence of data in memory that is typically considered volatile. Several Standards standards exist for the secure removal of data and the elimination of data remanence. Causes Many operating system s, file manager s, and other software provide ... the actual data remain on the data storage device storage medium . The data will remain there until the operating system reuses the space for new data. In some systems, enough filesystem metadata ... when undelete has become impossible, the data, until it has been overwritten, can be read by software ... on complications gives further explanations for causes of data remanence. Countermeasures Main Data erasure There are three levels commonly recognized for eliminating remnant data Clearing Clearing is the removal of sensitive data from storage devices in such a way that there is assurance that the data may not be reconstructed using normal system functions or software file data recovery utilities. fact date January 2012 The data may still be recoverable, but not without special laboratory techniques ... more details
prices. Reference data includes identifier codes e.g. CUSIP , the exchange a security trades on, end of day pricing, name and address of the issuing company, the terms of the security such as interest ... or proxy votes related to the security. This type of data can be maintained in a relational database. Databases that maintain the references data for holdings in a portfolio are known as securities master files. While price data generally originates from the exchanges, reference data generally originates ... Stream. See also Ticker Stock Exchange Financial quote Security Regulation NMS Stock market data ... data is financial quote quote and Trader finance trade related data associated with stock equity ... instruments . Market data is numerical price data, reported from trading venues, such as stock exchanges. The price data is attached to a ticker symbol and additional data about the trade. The latest ... on financial TV shows are familiar sights. This price data is not only used in real time to make on the spot decisions about buying or selling, but historical market data see graph at right is also ... be held by an individual or an institutional investor. A typical equity market data message or business ... of different sources of data, as quote data bid, ask, bid size, ask size and trade data last sale, last size, volume are often generated over different data feeds. Delivery of price data ... processors , designed to handle collection and throughput of massive data streams, displaying prices ... markets change. When stored, historical market data is also called time series data, because it requires ... instrument. While market data generally refers to Real time business intelligence realtime or delayed price quotations, the term increasingly includes static or reference data i.e. any type of data ... obvious anomalies on a realtime basis. Today, the business of market data aggregation and reselling ... available to integrate multiple streams of inbound financial data. For consumers of market ... more details
A data haven , like a corporate haven or tax haven , is a Safety refuge for uninterrupted or unregulated data . ref cite news url http www.economist.com blogs babbage 2010 06 icelands media law work The Economist title The Switzerland of bits ref ref http www.niemanlab.org 2010 02 iceland aims to become an offshore haven for journalists and leakers ref ref http www.theopenhouseproject.com 2010 01 08 a switzerland of bits ref Data havens are locations with law legal environment s that are friendly to the concept of a computer network freely holding data and even protecting its content and associated information. They tend to fit into three categories a physical nation locality with weak information ... of data, and Virtuality virtual domains designed to secure data via technical means such as encryption ... , and Freenet decentralized are three models of modern day virtual data havens. Purposes of data havens Reasons for establishing data havens include access to Freedom of speech free political ... reasons can include Whistleblower Whistleblowing Distributing software , data or speech that violates ... data protection laws Online gambling Pornography While some advocates of data havens say that they should not be used to facilitate Spamming spam , terrorism or child pornography , others seek data havens for these very purposes. Isn t the idea of a selective data haven inherently self defeating? History of the term The 1978 report of the British government s Data Protection Committee expressed concern ... data to countries with weaker protections it feared that Britain might become a data haven. ref name NewSci1978 cite news last Michael first James title New Report on Computer Data Banks work New Scientist ... study on the feasibility of setting up a company providing a wide range of data haven services ... a small group of entrepreneurs attempting to create a data haven. See also Portal box Cryptography Computer security Internet Anonymity Anonymous P2P Pseudonymity Corporate haven Crypto anarchism ... more details
original research date February 2011 More footnotes date September 2009 In computing , data deduplication is a specialized data compression technique for eliminating coarse grained redundant data. The technique is used to improve storage utilization and can also be applied to network data transfers to reduce ... of data, or byte patterns, are identified and stored during a process of analysis. As the analysis ... size , the amount of data that must be stored or transferred can be greatly reduced. This type ..., the intent of storage based data deduplication is to inspect large volumes of data and identify ..., requiring 100 MB storage space. With data deduplication, only one instance of the attachment is actually ... of roughly 100 to 1. Benefits Storage based data deduplication reduces the amount of storage needed ... identical data are stored on a single disk a surprisingly common scenario. In the case of data backups, which routinely are performed to protect against data loss, most of data in a given backup ... link ing files that haven t changed or storing Data differencing differences between files. Neither ... image included in many documents . Network data deduplication is used to reduce the absolute number ... Deduplication may occur in line , as data is flowing, or post process after it has been written. Post process deduplication With post process deduplication, new data is first stored on the storage device and then a process at a later time will analyze the data looking for duplication. The benefit ... the data thereby ensuring that store performance is not degraded. Implementations offering policy ... data for a short time which is an issue if the storage system is near full capacity. In line deduplication ... as the data enters the device in real time. If the device spots a block that it already stored ... deduplication over post process deduplication is that it requires less storage as data is not duplicated ... takes so long, it can mean that the data ingestion can be slower thereby reducing the backup throughput ... more details
Wiktionary dataData consist of propositions that reflect reality, such as measurements or observations of a variable. Data or DATA may also refer to Data computing , in computer science, often distinguished from code or software Data Euclid Data Euclid , a book by Euclid Data moth Data moth , a moth genus Data Star Trek Data Star Trek , a fictional android in the Star Trek universe DATA , a non governmental organization founded by Bono DATA band , a techno pop band created by Georg Kajanus Data Records , a record label Data URI scheme Design and Technology Academy , a school in San Antonio, Texas, USA Durham Area Transit Authority , the public transit agency serving Durham, North Carolina, USA Data, a character in The Goonies DATA, a diarylpyrimidines diaryltriazine , a class of organic molecules disambiguation da Data flertydig de Data el es Data desambiguaci n eu Datu argipena fr Data it Data ms Data nyahkekaburan nl Data no Data nn Data pt Data desambigua o simple Data sv Data ... more details
or not available e.g. security . cost the cost incurred in obtaining the data, and making it available ...File Data modeling context.svg thumb 360px Overview of data modeling context A data model provides the details ... process modeling process and data models. ref name SS93 Paul R. Smith & Richard Sarfaty 1993 . http ... Contractors and Facilities CAD CAE User s Group. ref A high level data model in business or for any functional area is an abstract model that documents and organizes the business data for communication between functional and technical people. It is used to show the data needed and created by business processes. A data model in software engineering is an abstract model that documents and organizes the business data for communication between team members and is used as a plan for developing applications, specifically how data is stored and accessed. According to Hoberman 2009 , A data model is a wayfinding ... product.sc jsessionid BDF2DA4FC5B78BDBF732346B13FEE048.qscstrfrnt01?productId 1&categoryId 1 Data Modeling Made Simple 2nd Edition , Steve Hoberman, Technics Publications, LLC 2009 ref A data model explicitly determines the structure of data or structured data . Typical applications of data models include database model s, design of information system s, and enabling exchange of data. Usually data models are specified in a data modeling language. ref name MRM99 Michael R. McCaleb 1999 . http nvl.nist.gov pub nistpubs jres 104 4 html j44mac.htm apa A Conceptual Data Model of Datum Systems ... science precision are the two key benefits that make a data model important to applications that use and exchange data. A data model is the medium which project team members from different backgrounds ... and rules on a data model can be interpreted only one way and are not ambiguous. ref name SH09 A data model can be sometimes referred to as a data structure , especially in the context of programming language s. Data models are often complemented by function model s, especially in the context ... more details
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