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This is a list of important publications in data science, generally organized by order of use in a data analysis workflow. Whole game of data science See the list of important publications in statistics for more research-based and fundamental publications; while this list is more applied, business oriented, and cross-disciplinary.
Data publishing (also data publication) is the act of releasing research data in published form for use by others. It is a practice consisting in preparing certain data or data set (s) for public use thus to make them available to everyone to use as they wish.
The "share" is lower than the count because for each article it is based on the number of nationals who have contributed, divided by the total number of contributors. In many cases the "share" will be much lower than the "count" because the "count" includes articles published by institutions which may have only a very few members of the ...
In order to encourage data sharing [3] and prevent the loss or corruption of data, a number of funding agencies and journals established policies on data archiving. Access to publicly archived data is a recent development in the history of science made possible by technological advances in communications and information technology. To take full ...
Publication data: 1820 (3rd ed.) Online version: Internet Archive ; CNRS , with more accurate character recognition; Gallica-Math , complete PDF and PDFs by section Description: Introduced the Laplace transform , exponential families , and conjugate priors in Bayesian statistics .
HuffPost Data Visualization, analysis, interactive maps and real-time graphics. Browse, copy and fork our open-source software.; Remix thousands of aggregated polling results.
Provides an RDF data set about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is based on the Microsoft Academic Graph. [105] [106] Free University of Freiburg: MyScienceWork: Science Database includes more than 70 million scientific publications and 12 million patents. Free
The Microsoft Academic Graph (MAKG) is a large RDF data set with over eight billion triples with information about scientific publications and related entities, such as authors, institutions, journals, and fields of study. The data set is licensed under the Open Data Attributions license. University of Freiburg (original files: Microsoft Academic)