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Sun Microsystems designed ZFS from the ground up with a focus on data integrity and to protect the data on disks against issues such as disk firmware bugs and ghost writes. [failed verification] [19] ZFS provides a repair utility called scrub that examines and repairs silent data corruption caused by data rot and other problems.
Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").
Data scrubbing is the process of taking a data set with individually identifiable information, and removing or altering the data in such a way that the usefulness of the data set is retained, but the identification of individuals contained in that data set is nearly impossible. Scrubbing should be accomplished using a protocol developed to ...
The term p-hacking (in reference to p-values) was coined in a 2014 paper by the three researchers behind the blog Data Colada, which has been focusing on uncovering such problems in social sciences research. [3] [4] [5] Data dredging is an example of disregarding the multiple comparisons problem. One form is when subgroups are compared without ...
Chunking is the process of breaking down numbers into smaller units to remember the information or data, this helps recall numbers and math facts. [64] An example of this chunking process is a telephone number; this is chunked with three digits, three digits, then four digits.
Memory scrubbing consists of reading from each computer memory location, correcting bit errors (if any) with an error-correcting code , and writing the corrected data back to the same location. [ 1 ] Due to the high integration density of modern computer memory chips , the individual memory cell structures became small enough to be vulnerable ...
The user, rather than the database itself, typically initiates data curation and maintains metadata. [8] According to the University of Illinois' Graduate School of Library and Information Science, "Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education; curation activities enable data discovery and ...
The adage points to the need to improve data quality in, for example, programming. Rubbish in, rubbish out (RIRO) is an alternate wording. [1] [2] [3] The principle applies to all logical argumentation: soundness implies validity, but validity does not imply soundness.