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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1848 1
1853 1
1880 1
1886 1
1888 1
1890 1
1893 1
1894 1
1895 1
1898 1
1899 2
1901 3
1902 1
1903 2
1905 1
1906 3
1908 2
1909 4
1910 2
1911 5
1912 4
1913 6
1914 2
1915 2
1916 8
1917 4
1918 2
1919 6
1920 16
1921 7
1922 7
1923 17
1924 18
1925 21
1926 20
1927 16
1928 25
1929 16
1930 21
1931 24
1932 17
1933 17
1934 8
1935 27
1936 26
1937 26
1938 25
1939 18
1940 11
1941 21
1942 35
1943 21
1944 33
1945 428
1946 1034
1947 702
1948 655
1949 573
1950 579
1951 1387
1952 1958
1953 1532
1954 1263
1955 1452
1956 1739
1957 1935
1958 1995
1959 2166
1960 2318
1961 2843
1962 2634
1963 1561
1964 1769
1965 1638
1966 1665
1967 2156
1968 2689
1969 2728
1970 2974
1971 2894
1972 2997
1973 3070
1974 3659
1975 10671
1976 11467
1977 10994
1978 12033
1979 13243
1980 14315
1981 15315
1982 17058
1983 20331
1984 22396
1985 23620
1986 25605
1987 29249
1988 36830
1989 47752
1990 56986
1991 65072
1992 72546
1993 79619
1994 87185
1995 93114
1996 91621
1997 85508
1998 90076
1999 95294
2000 103695
2001 107311
2002 111735
2003 120626
2004 132788
2005 147290
2006 161427
2007 172423
2008 183611
2009 193304
2010 209206
2011 230380
2012 253044
2013 267973
2014 281257
2015 291109
2016 286264
2017 296171
2018 319172
2019 343984
2020 393608
2021 431899
2022 425661
2023 400334
2024 162588
2025 3

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Showing results for data as
Search for Ata AS instead (3 results)
Toward data lakes as central building blocks for data management and analysis.
Wieder P, Nolte H. Wieder P, et al. Front Big Data. 2022 Aug 19;5:945720. doi: 10.3389/fdata.2022.945720. eCollection 2022. Front Big Data. 2022. PMID: 36072823 Free PMC article. Review.
Often associated with big data use cases, data lakes are, for example, used as central data management systems of research institutions or as the core entity of machine learning pipelines. The basic underlying idea of retaining data in its native forma …
Often associated with big data use cases, data lakes are, for example, used as central data management systems of resea …
Identifying and addressing data asymmetries so as to enable (better) science.
Verhulst S, Young A. Verhulst S, et al. Front Big Data. 2022 Jul 18;5:888384. doi: 10.3389/fdata.2022.888384. eCollection 2022. Front Big Data. 2022. PMID: 35923558 Free PMC article. Review.
This article seeks to start filling the analytical gap regarding data asymmetries globally, with a specific focus on the asymmetrical availability of privately-held data for open science, and a look at current efforts to address these data asymmetries. ...The …
This article seeks to start filling the analytical gap regarding data asymmetries globally, with a specific focus on the asymmetrical …
Big data analytics in medical engineering and healthcare: methods, advances and challenges.
Wang L, Alexander CA. Wang L, et al. J Med Eng Technol. 2020 Aug;44(6):267-283. doi: 10.1080/03091902.2020.1769758. Epub 2020 Jun 5. J Med Eng Technol. 2020. PMID: 32498594 Review.
The introduction of the types, sources, and features of big data in healthcare as well as the applications and benefits of big data and big data analytics in healthcare is key to understanding healthcare big data and will be discussed in this article. …
The introduction of the types, sources, and features of big data in healthcare as well as the applications and benefits of big dat …
Fundamentals of Research Data and Variables: The Devil Is in the Details.
Vetter TR. Vetter TR. Anesth Analg. 2017 Oct;125(4):1375-1380. doi: 10.1213/ANE.0000000000002370. Anesth Analg. 2017. PMID: 28787341 Review.
Interval data are a form of continuous data in which equal intervals represent equal differences in the property being measured. Ratio data are another form of continuous data, which have the same properties as interval data, plus a true definit …
Interval data are a form of continuous data in which equal intervals represent equal differences in the property being measure …
Missing data analysis: making it work in the real world.
Graham JW. Graham JW. Annu Rev Psychol. 2009;60:549-76. doi: 10.1146/annurev.psych.58.110405.085530. Annu Rev Psychol. 2009. PMID: 18652544 Review.
This review presents a practical summary of the missing data literature, including a sketch of missing data theory and descriptions of normal-model multiple imputation (MI) and maximum likelihood methods. ...Solutions are given for missing data challenges suc …
This review presents a practical summary of the missing data literature, including a sketch of missing data theory and descrip …
Big Data Analytics in Medicine and Healthcare.
Ristevski B, Chen M. Ristevski B, et al. J Integr Bioinform. 2018 May 10;15(3):20170030. doi: 10.1515/jib-2017-0030. J Integr Bioinform. 2018. PMID: 29746254 Free PMC article.
This paper surveys big data with highlighting the big data analytics in medicine and healthcare. ...Big data analytics in medicine and healthcare covers integration and analysis of large amount of complex heterogeneous data such as various - omics d …
This paper surveys big data with highlighting the big data analytics in medicine and healthcare. ...Big data analytics …
Citizen science as a data-based practice: A consideration of data justice.
Christine DI, Thinyane M. Christine DI, et al. Patterns (N Y). 2021 Mar 23;2(4):100224. doi: 10.1016/j.patter.2021.100224. eCollection 2021 Apr 9. Patterns (N Y). 2021. PMID: 33982019 Free PMC article.
Despite the potential of citizen science to achieve social justice agendas through a data-intensive and data-driven participatory scientific enquiry, scholarship in critical data studies offers several problematizations of data-based practices, highlig …
Despite the potential of citizen science to achieve social justice agendas through a data-intensive and data-driven participat …
Reusing Biomedical Data as Agreed - Towards Structured Metadata for Data Use Agreements.
Bönisch C, Hanß S, Spicher N, Sax U, Krefting D. Bönisch C, et al. Stud Health Technol Inform. 2023 Sep 12;307:31-38. doi: 10.3233/SHTI230690. Stud Health Technol Inform. 2023. PMID: 37697835
INTRODUCTION: With increasing availability of reusable biomedical data - from cohort studies to clinical routine data, data re-users face the problem to manage transferred data according to the heterogeneous data use agreements. ...CONCLUSION: W …
INTRODUCTION: With increasing availability of reusable biomedical data - from cohort studies to clinical routine data, data …
Data Sharing.
Bergren MD, Johnson K. Bergren MD, et al. NASN Sch Nurse. 2019 Jul;34(4):211-213. doi: 10.1177/1942602X19852934. NASN Sch Nurse. 2019. PMID: 31256755
The data life cycle starts with defining what data are needed, to collecting, storing, protecting, using, sharing, retiring, and destroying data. ...This article will discuss data sharing, the ethics, and the steps that must be taken to share data …
The data life cycle starts with defining what data are needed, to collecting, storing, protecting, using, sharing, retiring, a …
Effectiveness of data auditing as a tool to reinforce good research data management (RDM) practice: a Singapore study.
Lau HX, Lee SLC, Ali Y. Lau HX, et al. BMC Med Ethics. 2021 Jul 28;22(1):103. doi: 10.1186/s12910-021-00662-y. BMC Med Ethics. 2021. PMID: 34320960 Free PMC article.
As it is mandatory to deposit research data in a central data repository system in the school, we tracked data deposition by each laboratory from 2 weeks before to 3 months after data auditing as a marker of actual RDM compliance. ...However, data …
As it is mandatory to deposit research data in a central data repository system in the school, we tracked data depositi …
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