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vary and include data triangulation and data percolation. The latter offers an articulate method of collecting, classifying, and analyzing data using five possible angles of analysis (at least three) to maximize the research's objectivity and permit an understanding of the phenomena under investigation as complete as possible: qualitative and quantitative methods, literature reviews (including scholarly articles), interviews with experts, and computer simulation. The data is thereafter "percolated" using a series of pre-determined steps so as to extract the most relevant information.
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considered "information", and a climber's guidebook containing practical information on the best way to reach Mount Everest's peak may be considered "knowledge". "Information" bears a diversity of meanings that range from everyday usage to technical use. This view, however, has also been argued to reverse how data emerges from information, and information from knowledge. Generally speaking, the concept of information is closely related to notions of constraint, communication, control, data, form, instruction, knowledge, meaning, mental stimulus,
4918: 855:". When used more specifically to refer to the processing and analysis of sets of data, the term retains its plural form. This usage is common in the natural sciences, life sciences, social sciences, software development and computer science, and grew in popularity in the 20th and 21st centuries. Some style guides do not recognize the different meanings of the term and simply recommend the form that best suits the target audience of the guide. For example, 4904: 1217: 781:, which usually refers to very large quantities of data, usually at the petabyte scale. Using traditional data analysis methods and computing, working with such large (and growing) datasets is difficult, even impossible. (Theoretically speaking, infinite data would yield infinite information, which would render extracting insights or intelligence impossible.) In response, the relatively new field of 1002: 56: 2306: 4942: 4930: 1385:. In a recent survey, data was requested from 516 studies that were published between 2 and 22 years earlier, but less than one out of five of these studies were able or willing to provide the requested data. Overall, the likelihood of retrieving data dropped by 17% each year after publication. Similarly, a survey of 100 datasets in 949:" (though "truth" can be a subjective concept) and may be authorized as aesthetic and ethical criteria in some disciplines or cultures. Events that leave behind perceivable physical or virtual remains can be traced back through data. Marks are no longer considered data once the link between the mark and observation is broken. 1375:. However, in contrast to paper, these storage devices may become unreadable after a few decades. Scientific publishers and libraries have been struggling with this problem for a few decades, and there is still no satisfactory solution for the long-term storage of data over centuries or even for eternity. 920:
is a datum that communicates a precisely-measured value. This measurement may be included in a book along with other data on Mount Everest to describe the mountain in a manner useful for those who wish to decide on the best method to climb it. Awareness of the characteristics represented by this data
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Gathering data can be accomplished through a primary source (the researcher is the first person to obtain the data) or a secondary source (the researcher obtains the data that has already been collected by other sources, such as data disseminated in a scientific journal). Data analysis methodologies
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Data are often assumed to be the least abstract concept, information the next least, and knowledge the most abstract. In this view, data becomes information by interpretation; e.g., the height of Mount Everest is generally considered "data", a book on Mount Everest geological characteristics may be
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are closely related concepts, but each has its role concerning the other, and each term has its meaning. According to a common view, data is collected and analyzed; data only becomes information suitable for making decisions once it has been analyzed in some fashion. One can say that the extent to
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Before the development of computing devices and machines, people had to manually collect data and impose patterns on it. With the development of computing devices and machines, these devices can also collect data. In the 2010s, computers were widely used in many fields to collect data and sort or
964:. The most common digital computers use a binary alphabet, that is, an alphabet of two characters typically denoted "0" and "1". More familiar representations, such as numbers or letters, are then constructed from the binary alphabet. Some special forms of data are distinguished. A 1389:
found that more than half lacked the details to reproduce the research results from these studies. This shows the dire situation of access to scientific data that is not published or does not have enough details to be reproduced.
832:, "to give". The first English use of the word "data" is from the 1640s. The word "data" was first used to mean "transmissible and storable computer information" in 1946. The expression "data processing" was first used in 1954. 717:
Data can be seen as the smallest units of factual information that can be used as a basis for calculation, reasoning, or discussion. Data can range from abstract ideas to concrete measurements, including, but not limited to,
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Vines, Timothy H.; Albert, Arianne Y. K.; Andrew, Rose L.; DĂ©barre, Florence; Bock, Dan G.; Franklin, Michelle T.; Gilbert, Kimberly J.; Moore, Jean-SĂ©bastien; Renaut, SĂ©bastien; Rennison, Diana J. (2014-01-06).
977:, that is, a description of other data. A similar yet earlier term for metadata is "ancillary data." The prototypical example of metadata is the library catalog, which is a description of the contents of books. 968:
is a collection of data, that can be interpreted as instructions. Most computer languages make a distinction between programs and the other data on which programs operate, but in some languages, notably
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which a set of data is informative to someone depends on the extent to which it is unexpected by that person. The amount of information contained in a data stream may be characterized by its
1397:, that is, data that is Findable, Accessible, Interoperable, and Reusable. Data that fulfills these requirements can be used in subsequent research and thus advances science and technology. 1405:
Although data is also increasingly used in other fields, it has been suggested that the highly interpretive nature of them might be at odds with the ethos of data as "given".
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is the awareness of its environment that some entity possesses, whereas data merely communicates that knowledge. For example, the entry in a database specifying the height of
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usage by citizens to scientific research. These patterns in the data are seen as information that can be used to enhance knowledge. These patterns may be interpreted as "
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to differentiate between data and information; data is a series of symbols, while information occurs when the symbols are used to refer to something.
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These are some of the different types of data: Geographical, Cultural, Scientific, Financial, Statistical, Meteorological, Natural, Transport
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is a neologism applied to an activity which is primarily compelled by data over all other factors. Data-driven applications include
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may introduce assumptions that are counterproductive, for example that phenomena are discrete or are observer-independent. The term
4946: 4519: 4393: 1923: 4577: 4238: 3983: 3354: 2944: 1209: 993: 3568: 1417:, "to take") to distinguish between an immense number of possible data and a sub-set of them, to which attention is oriented. 4628: 3840: 3647: 3536: 3494: 2360: 1156: 613:, and virtually every other form of human organizational activity. Examples of data sets include price indices (such as the 91: 2733: 4871: 3830: 455: 210: 3880: 4422: 4371: 4356: 4346: 4215: 4087: 4054: 3835: 3665: 1818: 1068: 261: 4491: 3792: 1746: 4766: 4567: 3546: 3215: 2679: 970: 4651: 4618: 973:
and similar languages, programs are essentially indistinguishable from other data. It is also useful to distinguish
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that provide additional context and meaning, and may themselves be used as data in larger structures. Data may be
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has argued that since the humanities affirm knowledge production as "situated, partial, and constitutive," using
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data. In this context, data represent the raw facts and figures from which useful information can be extracted.
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Some of these data documents (data repositories, data studies, data sets, and software) are indexed in
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Publication Manual of the American Psychological Association: the official guide to APA style
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Roche, Dominique G.; Kruuk, Loeske E. B.; Lanfear, Robert; Binning, Sandra A. (2015).
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When "data" is used more generally as a synonym for "information", it is treated as a
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Mechanical computing devices are classified according to how they represent data. An
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and books, stored in libraries, but more recently practically all data is stored on
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represents a datum as a voltage, distance, position, or other physical quantity. A
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is an individual value in a collection of data. Data are usually organized into
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Information, Systems, and Information Systems: Making Sense of the Field
2130:"Public Data Archiving in Ecology and Evolution: How Well Are We Doing?" 1261:
Whenever data needs to be registered, data exists in the form of a data
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are removed, and obvious instrument or data entry errors are corrected.
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A solution to the problem of reproducibility is the attempt to require
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represents a piece of data as a sequence of symbols drawn from a fixed
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as of the 7th edition requires "data" to be treated as a plural form.
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Information Systems: An introduction to informatics in organisations
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Advances in computing technologies have led to the advent of
541: 508: 502: 1776:"Data vs Information - Difference and Comparison | Diffen" 682:
are data that are generated in the course of a controlled
30:"Scientific data" redirects here. Not to be confused with 535: 2338: 867: 573:, other basic units of meaning, or simply sequences of 706:, or other forms of post-analysis. Prior to analysis, 1363:. In the past, scientific data has been published in 874:'s "A TABLE of the Apertures of Object-Glasses" from 826:, "(thing) given," and the neuter past participle of 4545:
Autoregressive conditional heteroskedasticity (ARCH)
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Tuomi, Ilkka (2000). "Data is more than knowledge".
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This usage is common in 827: 821: 815: 4702: 4689: 4606: 4412: 4281: 4256: 4027: 4003: 3731: 3514: 3315: 3302: 3085: 3072: 2711: 2702: 2689: 2655: 2641: 2633: 2361: 2347: 2339: 1920:"Classifying data for successful modeling" 1249: 1235: 1000: 984: 770:in some form suitable for better usage or 470: 456: 62: 2212: 2163: 2145: 2088: 2078: 2041:Creating Models in Psychological Research 1946:Journal of Management Information Systems 851:. One example of this usage is the term " 2043:, Springer Psychology : 126 pages. 1799:Yonego, Joris Toonders (July 23, 2014). 937:process it, in disciplines ranging from 750:, refers to the fact that some existing 1747:"Statistical Language - What are Data?" 1714: 992: 70: 4619:Kaplan–Meier estimator (product limit) 2027:The Database: An Aesthetics of Dignity 1861:. American Psychological Association. 738:. Data has been described as "the new 1834: 1832: 7: 4929: 4629:Accelerated failure time (AFT) model 2252:P. Checkland and S. Holwell (1998). 4941: 4224:Analysis of variance (ANOVA, anova) 1265:. Kinds of data documents include: 4319:Cochran–Mantel–Haenszel statistics 2945:Pearson product-moment correlation 2187:Eisenstein, Michael (April 2022). 1723:OECD Glossary of Statistical Terms 40:For data in computer science, see 25: 4940: 4928: 4916: 4903: 4902: 2304: 2189:"In pursuit of data immortality" 1327:Data longevity and accessibility 1216: 1215: 525: 492: 4578:Least-squares spectral analysis 1821:. July 16, 2018. Archived from 1757:from the original on 2019-04-19 1751:Australian Bureau of Statistics 994:Library and information science 3559:Mean-unbiased minimum-variance 1958:10.1080/07421222.1999.11518258 1157:Science and technology studies 216:Analytic–synthetic distinction 1: 4872:Geographic information system 4088:Simultaneous equations models 2004:. Basingstoke, UK: Palgrave. 4055:Coefficient of determination 3666:Uniformly most powerful test 2283:Digital Humanities Quarterly 2147:10.1371/journal.pbio.1002295 2002:Business information systems 4624:Proportional hazards models 4568:Spectral density estimation 4550:Vector autoregression (VAR) 3984:Maximum posterior estimator 3216:Randomized controlled trial 1725:. OECD. 2008. p. 119. 4995: 4384:Multivariate distributions 2804:Average absolute deviation 2214:10.1038/d41586-022-00929-3 1807:– via www.wired.com. 1639:Data-driven control system 1343:is the longevity of data. 886: 881:Philosophical Transactions 800: 39: 29: 4898: 4701: 4688: 4372:Structural equation model 4280: 4255: 4026: 4002: 3734: 3708:Score/Lagrange multiplier 3314: 3301: 3123:Sample size determination 3084: 3071: 2701: 2688: 2670: 2376: 2090:10.1016/j.cub.2013.11.014 2000:P. Beynon-Davies (2009). 1971:P. Beynon-Davies (2002). 1679:Scientific data archiving 1654:Environmental data rescue 797:Etymology and terminology 690:using techniques such as 636:using techniques such as 322:Evolutionary epistemology 4867:Environmental statistics 4389:Elliptical distributions 4182:Generalized linear model 4111:Simple linear regression 3881:Hodges–Lehmann estimator 3338:Probability distribution 3247:Stochastic approximation 2809:Coefficient of variation 2277:Johanna Drucker (2011). 1464:Computer data processing 1121:Interdisciplinary fields 437:Philosophy of perception 4527:Cross-correlation (XCF) 4135:Non-standard predictors 3569:Lehmann–ScheffĂ© theorem 3242:Adaptive clinical trial 2335:(a detailed assessment) 2333:Data is a singular noun 2039:Mesly, Olivier (2015), 1664:Information engineering 1614:Data-driven programming 1479:Data (computer science) 1442:data-driven programming 791:artificial intelligence 332:Historical epistemology 42:Data (computer science) 4923:Mathematics portal 4744:Engineering statistics 4652:Nelson–Aalen estimator 4229:Analysis of covariance 4116:Ordinary least squares 4040:Pearson product-moment 3444:Statistical functional 3355:Empirical distribution 3188:Controlled experiments 2917:Frequency distribution 2695:Descriptive statistics 1619:Data-driven journalism 1446:data-driven journalism 1331:An important field in 1312:Science Citation Index 1065:Information management 1053:Collections management 884: 828: 822: 816: 746:". Data, as a general 686:experiment. Data are 60: 50:Datum (disambiguation) 44:. For other uses, see 4839:Population statistics 4781:System identification 4515:Autocorrelation (ACF) 4443:Exponential smoothing 4357:Discriminant analysis 4352:Canonical correlation 4216:Partition of variance 4078:Regression validation 3922:(Jonckheere–Terpstra) 3821:Likelihood-ratio test 3510:Frequentist inference 3422:Location–scale family 3343:Sampling distribution 3308:Statistical inference 3275:Cross-sectional study 3262:Observational studies 3221:Randomized experiment 3050:Stem-and-leaf display 2852:Central limit theorem 1819:"Data is the new oil" 1644:Data-driven marketing 1308:Data Citation Indexes 1141:Documentation science 1129:Communication studies 870: 801:Further information: 603:computational process 442:Philosophy of science 58: 46:Data (disambiguation) 4762:Probabilistic design 4347:Principal components 4190:Exponential families 4142:Nonlinear regression 4121:General linear model 4083:Mixed effects models 4073:Errors and residuals 4050:Confounding variable 3952:Bayesian probability 3930:Van der Waerden test 3920:Ordered alternative 3685:Multiple comparisons 3564:Rao–Blackwellization 3527:Estimating equations 3483:Statistical distance 3201:Factorial experiment 2734:Arithmetic-Geometric 2542:Protection (privacy) 1918:Akash Mitra (2011). 1629:Data-driven learning 1409:introduced the term 1073:Knowledge management 845:software development 666:that may be further 652:, and are typically 615:consumer price index 579:interpreted formally 577:that may be further 317:Applied epistemology 27:Units of information 4834:Official statistics 4757:Methods engineering 4438:Seasonal adjustment 4206:Poisson regressions 4126:Bayesian regression 4065:Regression analysis 4045:Partial correlation 4017:Regression analysis 3616:Prediction interval 3611:Likelihood interval 3601:Confidence interval 3593:Interval estimation 3554:Unbiased estimators 3372:Model specification 3252:Up-and-down designs 2940:Partial correlation 2896:Index of dispersion 2814:Interquartile range 2205:2022Natur.604..207E 1975:. Basingstoke, UK: 1634:Data-driven science 1624:Data-driven testing 1345:Scientific research 1153:Information science 1049:Archives management 988:Part of a series on 607:scientific research 427:Epistemic cognition 347:Virtue epistemology 342:Social epistemology 327:Formal epistemology 66:Part of a series on 4854:Spatial statistics 4734:Medical statistics 4634:First hitting time 4588:Whittle likelihood 4239:Degrees of freedom 4234:Multivariate ANOVA 4167:Heteroscedasticity 3979:Bayesian estimator 3944:Bayesian inference 3793:Kolmogorov–Smirnov 3678:Randomization test 3648:Testing hypotheses 3621:Tolerance interval 3532:Maximum likelihood 3427:Exponential family 3360:Density estimation 3320:Statistical theory 3280:Natural experiment 3226:Scientific control 3143:Survey methodology 2829:Standard deviation 1977:Palgrave Macmillan 1844:www.etymonline.com 1594:Data visualization 1379:Data accessibility 1355:, but also in the 1077:Library management 885: 619:unemployment rates 61: 4956: 4955: 4894: 4893: 4890: 4889: 4829:National accounts 4799:Actuarial science 4791:Social statistics 4684: 4683: 4680: 4679: 4676: 4675: 4611:Survival function 4596: 4595: 4458:Granger causality 4299:Contingency table 4274:Survival analysis 4251: 4250: 4247: 4246: 4103:Linear regression 3998: 3997: 3994: 3993: 3969:Credible interval 3938: 3937: 3721: 3720: 3537:Method of moments 3406:Parametric family 3367:Statistical model 3297: 3296: 3293: 3292: 3211:Random assignment 3133:Statistical power 3067: 3066: 3063: 3062: 2912:Contingency table 2882: 2881: 2749:Generalized/power 2630: 2629: 2622:Wrangling/munging 2472:Format management 2199:(7904): 207–208. 2049:978-3-319-15752-8 2011:978-0-230-20368-6 1559:Data preservation 1259: 1258: 841:everyday language 820:is the plural of 680:Experimental data 557:, describing the 480: 479: 16:(Redirected from 4986: 4974:Statistical data 4944: 4943: 4932: 4931: 4921: 4920: 4906: 4905: 4809:Crime statistics 4703: 4690: 4607: 4573:Fourier analysis 4560:Frequency domain 4540: 4487: 4453:Structural break 4413: 4362:Cluster analysis 4309:Log-linear model 4282: 4257: 4198: 4172:Homoscedasticity 4028: 4004: 3923: 3915: 3907: 3906:(Kruskal–Wallis) 3891: 3876: 3831:Cross validation 3816: 3798:Anderson–Darling 3745: 3732: 3703:Likelihood-ratio 3695:Parametric tests 3673:Permutation test 3656:1- & 2-tails 3547:Minimum distance 3519:Point estimation 3515: 3466:Optimal decision 3417: 3316: 3303: 3285:Quasi-experiment 3235:Adaptive designs 3086: 3073: 2950:Rank correlation 2712: 2703: 2690: 2657: 2650: 2643: 2634: 2363: 2356: 2349: 2340: 2308: 2307: 2291: 2290: 2274: 2268: 2267: 2249: 2243: 2242: 2216: 2184: 2178: 2177: 2167: 2149: 2140:(11): e1002295. 2125: 2119: 2118: 2092: 2082: 2057: 2051: 2037: 2031: 2030: 2022: 2016: 2015: 1997: 1991: 1990: 1968: 1962: 1961: 1941: 1935: 1934: 1932: 1931: 1922:. Archived from 1915: 1909: 1908: 1906: 1904: 1898: 1887: 1879: 1873: 1872: 1854: 1848: 1847: 1836: 1827: 1826: 1815: 1809: 1808: 1796: 1790: 1789: 1787: 1786: 1772: 1766: 1765: 1763: 1762: 1743: 1737: 1736: 1732:978-92-64-025561 1719: 1699:Data aggregation 1669:Machine learning 1569:Data publication 1534:Data maintenance 1484:Data acquisition 1413:(from the Latin 1357:medical sciences 1333:computer science 1251: 1244: 1237: 1224: 1219: 1218: 1133:Computer science 1125:Archival science 1004: 985: 966:computer program 958:digital computer 849:computer science 831: 825: 819: 787:machine learning 548: 547: 544: 543: 540: 537: 534: 531: 524: 515: 514: 511: 510: 507: 504: 501: 498: 472: 465: 458: 372:Sextus Empiricus 337:Metaepistemology 63: 21: 4994: 4993: 4989: 4988: 4987: 4985: 4984: 4983: 4979:Data management 4959: 4958: 4957: 4952: 4915: 4886: 4848: 4785: 4771:quality control 4738: 4720:Clinical trials 4697: 4672: 4656: 4644:Hazard function 4638: 4592: 4554: 4538: 4501: 4497:Breusch–Godfrey 4485: 4462: 4402: 4377:Factor analysis 4323: 4304:Graphical model 4276: 4243: 4210: 4196: 4176: 4130: 4097: 4059: 4022: 4021: 3990: 3934: 3921: 3913: 3905: 3889: 3874: 3853:Rank statistics 3847: 3826:Model selection 3814: 3772:Goodness of fit 3766: 3743: 3717: 3689: 3642: 3587: 3576:Median unbiased 3504: 3415: 3348:Order statistic 3310: 3289: 3256: 3230: 3182: 3137: 3080: 3078:Data collection 3059: 2971: 2926: 2900: 2878: 2838: 2790: 2707:Continuous data 2697: 2684: 2666: 2661: 2631: 2626: 2602:Synchronization 2372: 2367: 2329: 2328: 2327: 2309: 2305: 2300: 2295: 2294: 2276: 2275: 2271: 2264: 2251: 2250: 2246: 2186: 2185: 2181: 2127: 2126: 2122: 2067:Current Biology 2059: 2058: 2054: 2038: 2034: 2025:Sharon Daniel. 2024: 2023: 2019: 2012: 1999: 1998: 1994: 1987: 1970: 1969: 1965: 1943: 1942: 1938: 1929: 1927: 1917: 1916: 1912: 1902: 1900: 1899:on 18 July 2018 1896: 1885: 1881: 1880: 1876: 1869: 1856: 1855: 1851: 1838: 1837: 1830: 1817: 1816: 1812: 1798: 1797: 1793: 1784: 1782: 1774: 1773: 1769: 1760: 1758: 1745: 1744: 1740: 1733: 1721: 1720: 1716: 1711: 1706: 1704: 1649:Digital privacy 1564:Data protection 1539:Data management 1524:Data governance 1469:Computer memory 1459:Biological data 1454: 1419:Johanna Drucker 1407:Peter Checkland 1403: 1401:In other fields 1361:medical imaging 1341:library science 1329: 1320: 1318:Data collection 1270:data repository 1255: 1214: 1202: 1201: 1168: 1160: 1159: 1149:Library science 1122: 1114: 1113: 1088: 1080: 1079: 1061:Data management 1046: 1038: 1037: 1028: 983: 954:analog computer 908:Shannon entropy 891: 865: 808: 799: 744:digital economy 528: 518: 517: 495: 491: 476: 447: 446: 432:Epistemic logic 422: 421: 412: 411: 362: 361: 360:Epistemologists 352: 351: 312: 311: 302: 301: 206: 205: 196: 195: 141:Foundationalism 106: 105: 96: 53: 38: 33:Scientific Data 28: 23: 22: 18:Scientific data 15: 12: 11: 5: 4992: 4990: 4982: 4981: 4976: 4971: 4961: 4960: 4954: 4953: 4951: 4950: 4938: 4926: 4912: 4899: 4896: 4895: 4892: 4891: 4888: 4887: 4885: 4884: 4879: 4874: 4869: 4864: 4858: 4856: 4850: 4849: 4847: 4846: 4841: 4836: 4831: 4826: 4821: 4816: 4811: 4806: 4801: 4795: 4793: 4787: 4786: 4784: 4783: 4778: 4773: 4764: 4759: 4754: 4748: 4746: 4740: 4739: 4737: 4736: 4731: 4726: 4717: 4715:Bioinformatics 4711: 4709: 4699: 4698: 4693: 4686: 4685: 4682: 4681: 4678: 4677: 4674: 4673: 4671: 4670: 4664: 4662: 4658: 4657: 4655: 4654: 4648: 4646: 4640: 4639: 4637: 4636: 4631: 4626: 4621: 4615: 4613: 4604: 4598: 4597: 4594: 4593: 4591: 4590: 4585: 4580: 4575: 4570: 4564: 4562: 4556: 4555: 4553: 4552: 4547: 4542: 4534: 4529: 4524: 4523: 4522: 4520:partial (PACF) 4511: 4509: 4503: 4502: 4500: 4499: 4494: 4489: 4481: 4476: 4470: 4468: 4467:Specific tests 4464: 4463: 4461: 4460: 4455: 4450: 4445: 4440: 4435: 4430: 4425: 4419: 4417: 4410: 4404: 4403: 4401: 4400: 4399: 4398: 4397: 4396: 4381: 4380: 4379: 4369: 4367:Classification 4364: 4359: 4354: 4349: 4344: 4339: 4333: 4331: 4325: 4324: 4322: 4321: 4316: 4314:McNemar's test 4311: 4306: 4301: 4296: 4290: 4288: 4278: 4277: 4260: 4253: 4252: 4249: 4248: 4245: 4244: 4242: 4241: 4236: 4231: 4226: 4220: 4218: 4212: 4211: 4209: 4208: 4192: 4186: 4184: 4178: 4177: 4175: 4174: 4169: 4164: 4159: 4154: 4152:Semiparametric 4149: 4144: 4138: 4136: 4132: 4131: 4129: 4128: 4123: 4118: 4113: 4107: 4105: 4099: 4098: 4096: 4095: 4090: 4085: 4080: 4075: 4069: 4067: 4061: 4060: 4058: 4057: 4052: 4047: 4042: 4036: 4034: 4024: 4023: 4020: 4019: 4014: 4008: 4007: 4000: 3999: 3996: 3995: 3992: 3991: 3989: 3988: 3987: 3986: 3976: 3971: 3966: 3965: 3964: 3959: 3948: 3946: 3940: 3939: 3936: 3935: 3933: 3932: 3927: 3926: 3925: 3917: 3909: 3893: 3890:(Mann–Whitney) 3885: 3884: 3883: 3870: 3869: 3868: 3857: 3855: 3849: 3848: 3846: 3845: 3844: 3843: 3838: 3833: 3823: 3818: 3815:(Shapiro–Wilk) 3810: 3805: 3800: 3795: 3790: 3782: 3776: 3774: 3768: 3767: 3765: 3764: 3756: 3747: 3735: 3729: 3727:Specific tests 3723: 3722: 3719: 3718: 3716: 3715: 3710: 3705: 3699: 3697: 3691: 3690: 3688: 3687: 3682: 3681: 3680: 3670: 3669: 3668: 3658: 3652: 3650: 3644: 3643: 3641: 3640: 3639: 3638: 3633: 3623: 3618: 3613: 3608: 3603: 3597: 3595: 3589: 3588: 3586: 3585: 3580: 3579: 3578: 3573: 3572: 3571: 3566: 3551: 3550: 3549: 3544: 3539: 3534: 3523: 3521: 3512: 3506: 3505: 3503: 3502: 3497: 3492: 3491: 3490: 3480: 3475: 3474: 3473: 3463: 3462: 3461: 3456: 3451: 3441: 3436: 3431: 3430: 3429: 3424: 3419: 3403: 3402: 3401: 3396: 3391: 3381: 3380: 3379: 3374: 3364: 3363: 3362: 3352: 3351: 3350: 3340: 3335: 3330: 3324: 3322: 3312: 3311: 3306: 3299: 3298: 3295: 3294: 3291: 3290: 3288: 3287: 3282: 3277: 3272: 3266: 3264: 3258: 3257: 3255: 3254: 3249: 3244: 3238: 3236: 3232: 3231: 3229: 3228: 3223: 3218: 3213: 3208: 3203: 3198: 3192: 3190: 3184: 3183: 3181: 3180: 3178:Standard error 3175: 3170: 3165: 3164: 3163: 3158: 3147: 3145: 3139: 3138: 3136: 3135: 3130: 3125: 3120: 3115: 3110: 3108:Optimal design 3105: 3100: 3094: 3092: 3082: 3081: 3076: 3069: 3068: 3065: 3064: 3061: 3060: 3058: 3057: 3052: 3047: 3042: 3037: 3032: 3027: 3022: 3017: 3012: 3007: 3002: 2997: 2992: 2987: 2981: 2979: 2973: 2972: 2970: 2969: 2964: 2963: 2962: 2957: 2947: 2942: 2936: 2934: 2928: 2927: 2925: 2924: 2919: 2914: 2908: 2906: 2905:Summary tables 2902: 2901: 2899: 2898: 2892: 2890: 2884: 2883: 2880: 2879: 2877: 2876: 2875: 2874: 2869: 2864: 2854: 2848: 2846: 2840: 2839: 2837: 2836: 2831: 2826: 2821: 2816: 2811: 2806: 2800: 2798: 2792: 2791: 2789: 2788: 2783: 2778: 2777: 2776: 2771: 2766: 2761: 2756: 2751: 2746: 2741: 2739:Contraharmonic 2736: 2731: 2720: 2718: 2709: 2699: 2698: 2693: 2686: 2685: 2683: 2682: 2677: 2671: 2668: 2667: 2662: 2660: 2659: 2652: 2645: 2637: 2628: 2627: 2625: 2624: 2619: 2614: 2609: 2604: 2599: 2594: 2589: 2584: 2579: 2574: 2569: 2564: 2559: 2554: 2549: 2544: 2539: 2534: 2529: 2527:Pre-processing 2524: 2519: 2514: 2509: 2504: 2499: 2494: 2489: 2484: 2479: 2474: 2469: 2464: 2463: 2462: 2457: 2452: 2438: 2433: 2428: 2423: 2418: 2413: 2408: 2403: 2398: 2393: 2388: 2383: 2377: 2374: 2373: 2368: 2366: 2365: 2358: 2351: 2343: 2337: 2336: 2310: 2303: 2302: 2301: 2299: 2298:External links 2296: 2293: 2292: 2269: 2262: 2244: 2179: 2120: 2052: 2032: 2017: 2010: 1992: 1985: 1963: 1952:(3): 103–117. 1936: 1910: 1874: 1867: 1849: 1828: 1825:on 2018-07-16. 1810: 1791: 1780:www.diffen.com 1767: 1753:. 2013-07-13. 1738: 1731: 1713: 1712: 1710: 1707: 1702: 1701: 1696: 1691: 1686: 1684:Secondary Data 1681: 1676: 1671: 1666: 1661: 1656: 1651: 1646: 1641: 1636: 1631: 1626: 1621: 1616: 1611: 1606: 1601: 1599:Data warehouse 1596: 1591: 1589:Data structure 1586: 1581: 1576: 1574:Data remanence 1571: 1566: 1561: 1556: 1551: 1546: 1541: 1536: 1531: 1529:Data integrity 1526: 1521: 1516: 1511: 1506: 1501: 1496: 1491: 1486: 1481: 1476: 1471: 1466: 1461: 1455: 1453: 1450: 1402: 1399: 1328: 1325: 1319: 1316: 1304: 1303: 1298: 1295: 1290: 1285: 1280: 1275: 1272: 1257: 1256: 1254: 1253: 1246: 1239: 1231: 1228: 1227: 1226: 1225: 1212: 1204: 1203: 1169: 1166: 1165: 1162: 1161: 1123: 1120: 1119: 1116: 1115: 1089: 1086: 1085: 1082: 1081: 1047: 1044: 1043: 1040: 1039: 1029: 1026: 1025: 1022: 1021: 1020: 1019: 1014: 1006: 1005: 997: 996: 990: 989: 982: 981:Data documents 979: 943:social service 941:, analysis of 921:is knowledge. 876:a 1665 article 864: 861: 798: 795: 698:, discussion, 478: 477: 475: 474: 467: 460: 452: 449: 448: 445: 444: 439: 434: 429: 423: 420:Related fields 419: 418: 417: 414: 413: 410: 409: 404: 402:W. V. O. Quine 399: 394: 389: 387:RenĂ© Descartes 384: 379: 377:Edmund Gettier 374: 369: 363: 359: 358: 357: 354: 353: 350: 349: 344: 339: 334: 329: 324: 319: 313: 309: 308: 307: 304: 303: 300: 299: 294: 289: 284: 279: 274: 269: 264: 259: 254: 249: 244: 239: 234: 229: 218: 213: 207: 203: 202: 201: 198: 197: 194: 193: 188: 183: 178: 173: 168: 163: 158: 153: 148: 143: 138: 133: 128: 123: 118: 113: 107: 103: 102: 101: 98: 97: 95: 94: 89: 84: 78: 75: 74: 68: 67: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 4991: 4980: 4977: 4975: 4972: 4970: 4967: 4966: 4964: 4949: 4948: 4939: 4937: 4936: 4927: 4925: 4924: 4919: 4913: 4911: 4910: 4901: 4900: 4897: 4883: 4880: 4878: 4877:Geostatistics 4875: 4873: 4870: 4868: 4865: 4863: 4860: 4859: 4857: 4855: 4851: 4845: 4844:Psychometrics 4842: 4840: 4837: 4835: 4832: 4830: 4827: 4825: 4822: 4820: 4817: 4815: 4812: 4810: 4807: 4805: 4802: 4800: 4797: 4796: 4794: 4792: 4788: 4782: 4779: 4777: 4774: 4772: 4768: 4765: 4763: 4760: 4758: 4755: 4753: 4750: 4749: 4747: 4745: 4741: 4735: 4732: 4730: 4727: 4725: 4721: 4718: 4716: 4713: 4712: 4710: 4708: 4707:Biostatistics 4704: 4700: 4696: 4691: 4687: 4669: 4668:Log-rank test 4666: 4665: 4663: 4659: 4653: 4650: 4649: 4647: 4645: 4641: 4635: 4632: 4630: 4627: 4625: 4622: 4620: 4617: 4616: 4614: 4612: 4608: 4605: 4603: 4599: 4589: 4586: 4584: 4581: 4579: 4576: 4574: 4571: 4569: 4566: 4565: 4563: 4561: 4557: 4551: 4548: 4546: 4543: 4541: 4539:(Box–Jenkins) 4535: 4533: 4530: 4528: 4525: 4521: 4518: 4517: 4516: 4513: 4512: 4510: 4508: 4504: 4498: 4495: 4493: 4492:Durbin–Watson 4490: 4488: 4482: 4480: 4477: 4475: 4474:Dickey–Fuller 4472: 4471: 4469: 4465: 4459: 4456: 4454: 4451: 4449: 4448:Cointegration 4446: 4444: 4441: 4439: 4436: 4434: 4431: 4429: 4426: 4424: 4423:Decomposition 4421: 4420: 4418: 4414: 4411: 4409: 4405: 4395: 4392: 4391: 4390: 4387: 4386: 4385: 4382: 4378: 4375: 4374: 4373: 4370: 4368: 4365: 4363: 4360: 4358: 4355: 4353: 4350: 4348: 4345: 4343: 4340: 4338: 4335: 4334: 4332: 4330: 4326: 4320: 4317: 4315: 4312: 4310: 4307: 4305: 4302: 4300: 4297: 4295: 4294:Cohen's kappa 4292: 4291: 4289: 4287: 4283: 4279: 4275: 4271: 4267: 4263: 4258: 4254: 4240: 4237: 4235: 4232: 4230: 4227: 4225: 4222: 4221: 4219: 4217: 4213: 4207: 4203: 4199: 4193: 4191: 4188: 4187: 4185: 4183: 4179: 4173: 4170: 4168: 4165: 4163: 4160: 4158: 4155: 4153: 4150: 4148: 4147:Nonparametric 4145: 4143: 4140: 4139: 4137: 4133: 4127: 4124: 4122: 4119: 4117: 4114: 4112: 4109: 4108: 4106: 4104: 4100: 4094: 4091: 4089: 4086: 4084: 4081: 4079: 4076: 4074: 4071: 4070: 4068: 4066: 4062: 4056: 4053: 4051: 4048: 4046: 4043: 4041: 4038: 4037: 4035: 4033: 4029: 4025: 4018: 4015: 4013: 4010: 4009: 4005: 4001: 3985: 3982: 3981: 3980: 3977: 3975: 3972: 3970: 3967: 3963: 3960: 3958: 3955: 3954: 3953: 3950: 3949: 3947: 3945: 3941: 3931: 3928: 3924: 3918: 3916: 3910: 3908: 3902: 3901: 3900: 3897: 3896:Nonparametric 3894: 3892: 3886: 3882: 3879: 3878: 3877: 3871: 3867: 3866:Sample median 3864: 3863: 3862: 3859: 3858: 3856: 3854: 3850: 3842: 3839: 3837: 3834: 3832: 3829: 3828: 3827: 3824: 3822: 3819: 3817: 3811: 3809: 3806: 3804: 3801: 3799: 3796: 3794: 3791: 3789: 3787: 3783: 3781: 3778: 3777: 3775: 3773: 3769: 3763: 3761: 3757: 3755: 3753: 3748: 3746: 3741: 3737: 3736: 3733: 3730: 3728: 3724: 3714: 3711: 3709: 3706: 3704: 3701: 3700: 3698: 3696: 3692: 3686: 3683: 3679: 3676: 3675: 3674: 3671: 3667: 3664: 3663: 3662: 3659: 3657: 3654: 3653: 3651: 3649: 3645: 3637: 3634: 3632: 3629: 3628: 3627: 3624: 3622: 3619: 3617: 3614: 3612: 3609: 3607: 3604: 3602: 3599: 3598: 3596: 3594: 3590: 3584: 3581: 3577: 3574: 3570: 3567: 3565: 3562: 3561: 3560: 3557: 3556: 3555: 3552: 3548: 3545: 3543: 3540: 3538: 3535: 3533: 3530: 3529: 3528: 3525: 3524: 3522: 3520: 3516: 3513: 3511: 3507: 3501: 3498: 3496: 3493: 3489: 3486: 3485: 3484: 3481: 3479: 3476: 3472: 3471:loss function 3469: 3468: 3467: 3464: 3460: 3457: 3455: 3452: 3450: 3447: 3446: 3445: 3442: 3440: 3437: 3435: 3432: 3428: 3425: 3423: 3420: 3418: 3412: 3409: 3408: 3407: 3404: 3400: 3397: 3395: 3392: 3390: 3387: 3386: 3385: 3382: 3378: 3375: 3373: 3370: 3369: 3368: 3365: 3361: 3358: 3357: 3356: 3353: 3349: 3346: 3345: 3344: 3341: 3339: 3336: 3334: 3331: 3329: 3326: 3325: 3323: 3321: 3317: 3313: 3309: 3304: 3300: 3286: 3283: 3281: 3278: 3276: 3273: 3271: 3268: 3267: 3265: 3263: 3259: 3253: 3250: 3248: 3245: 3243: 3240: 3239: 3237: 3233: 3227: 3224: 3222: 3219: 3217: 3214: 3212: 3209: 3207: 3204: 3202: 3199: 3197: 3194: 3193: 3191: 3189: 3185: 3179: 3176: 3174: 3173:Questionnaire 3171: 3169: 3166: 3162: 3159: 3157: 3154: 3153: 3152: 3149: 3148: 3146: 3144: 3140: 3134: 3131: 3129: 3126: 3124: 3121: 3119: 3116: 3114: 3111: 3109: 3106: 3104: 3101: 3099: 3096: 3095: 3093: 3091: 3087: 3083: 3079: 3074: 3070: 3056: 3053: 3051: 3048: 3046: 3043: 3041: 3038: 3036: 3033: 3031: 3028: 3026: 3023: 3021: 3018: 3016: 3013: 3011: 3008: 3006: 3003: 3001: 3000:Control chart 2998: 2996: 2993: 2991: 2988: 2986: 2983: 2982: 2980: 2978: 2974: 2968: 2965: 2961: 2958: 2956: 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2490: 2488: 2485: 2483: 2480: 2478: 2475: 2473: 2470: 2468: 2465: 2461: 2458: 2456: 2453: 2451: 2448: 2447: 2446: 2442: 2439: 2437: 2434: 2432: 2429: 2427: 2424: 2422: 2419: 2417: 2414: 2412: 2409: 2407: 2404: 2402: 2399: 2397: 2394: 2392: 2389: 2387: 2384: 2382: 2379: 2378: 2375: 2371: 2364: 2359: 2357: 2352: 2350: 2345: 2344: 2341: 2334: 2331: 2330: 2325: 2324: 2323: 2317: 2313: 2297: 2288: 2284: 2280: 2273: 2270: 2265: 2263:0-471-95820-4 2259: 2255: 2248: 2245: 2240: 2236: 2232: 2228: 2224: 2220: 2215: 2210: 2206: 2202: 2198: 2194: 2190: 2183: 2180: 2175: 2171: 2166: 2161: 2157: 2153: 2148: 2143: 2139: 2135: 2131: 2124: 2121: 2116: 2112: 2108: 2104: 2100: 2096: 2091: 2086: 2081: 2076: 2072: 2068: 2064: 2056: 2053: 2050: 2046: 2042: 2036: 2033: 2028: 2021: 2018: 2013: 2007: 2003: 1996: 1993: 1988: 1986:0-333-96390-3 1982: 1978: 1974: 1967: 1964: 1959: 1955: 1951: 1947: 1940: 1937: 1926:on 2017-11-07 1925: 1921: 1914: 1911: 1895: 1891: 1884: 1878: 1875: 1870: 1868:9781433832161 1864: 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1709:References 1689:Statistics 1554:Data point 1499:Data cable 1359:, e.g. in 1337:technology 1288:data paper 1274:data study 887:See also: 772:processing 720:statistics 684:scientific 672:Field data 664:characters 587:structures 571:statistics 482:In common 392:David Hume 252:Experience 181:Skepticism 176:Relativism 166:Pragmatism 156:Naturalism 151:Infinitism 126:Empiricism 4195:Logistic 3962:posterior 3888:Rank sum 3636:Jackknife 3631:Bootstrap 3449:Bootstrap 3384:Parameter 3333:Statistic 3128:Statistic 3040:Run chart 3025:Pie chart 3020:Histogram 3010:Fan chart 2985:Bar chart 2867:L-moments 2754:Geometric 2617:Warehouse 2582:Scrubbing 2562:Retention 2557:Reduction 2512:Migration 2487:Integrity 2455:Transform 2406:Cleansing 2239:247954952 2223:1476-4687 2156:1545-7885 2099:1879-0445 2080:1312.5670 1674:Open data 1659:Fieldwork 1609:Datasheet 1494:Data bank 1474:Dark data 1436:The term 1395:FAIR data 1383:databases 1353:astronomy 1111:Knowledge 1107:Artefacts 1103:Documents 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Index

Scientific data
Scientific Data (journal)
Data (computer science)
Data (disambiguation)
Datum (disambiguation)

Epistemology
Outline
Category
Index
Coherentism
Contextualism
Dogmatism
Empiricism
Fallibilism
Fideism
Foundationalism
Infallibilism
Infinitism
Naturalism
Perspectivism
Pragmatism
Rationalism
Relativism
Skepticism
Solipsism
Structuralism
Action
Analytic–synthetic distinction
A priori and a posteriori

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