"scrub data" can be correct and usable in written English.
It is a commonly used term in the field of data analysis and refers to the process of cleaning and organizing data to make it usable for analysis. It can also be used in a broader sense to mean removing unnecessary or irrelevant data. Example: As part of the project, the team had to scrub the data collected from various sources to remove duplicates and errors before conducting their analysis.
Europe hit the wrong balance with right to be forgotten, according to Google's Eric Schmidt Explaining the right to be forgotten – can anyone scrub data from the internet?
It's perhaps no surprise, then, that universities have been running hackathons to save environmental information amid fears that the new administration will scrub data that undercuts its views.
A key strategy in this has been to "scrub" data, which means removing personally identifiable information (PII) so that even if someone did access it, they couldn't connect it to an individual.
Software pioneer John McAfee has confirmed on his blog that he is in Guatemala with reporters from Vice magazine, a day after they accidentally revealed his location by failing to scrub data in a photo published online, McAfee is on the run from Belize police who say he is a person of interest in the murder of his neighbor Gregory Faull.
Management activities to annotate (produce metadata), scrub data and maintain research data (including software code, where it is necessary for interpreting the data itself) for initial use and later re-use.
Tech companies, including Microsoft and Salesforce, have faced mounting pressure to end their business with federal immigration agencies, and criticism over contracts that provide data processing powered by artificial intelligence, facial recognition technology and software to scrub data across social media platforms.
They should also be able to repurpose other "data" analysts' scrubbed data sets and final analyses.
Ideally, Congress should enable the release of scrubbed data to secure facilities in schools of public health so that correlation studies and analysis can be undertaken in a serious, thoughtful yet speedy manner that can serve as electronic, real-time surveillance for most medicines on the market.
The terms data cleaning (or data cleansing), data standardisation, data scrubbing, data pre-processing and ETL (extraction, transformation and loading) are used synonymously to refer to the general tasks of transforming source data into clean and consistent sets of records suitable for loading into a data warehouse, or for linking with other data sets.
The purpose was not to scrub the data sets of PHI, but to alert the researchers of PHI contained in the data sets for cross-checking against IRB and DUAs.
Although Google, Yahoo, Bing and other search engines worked to scrub the data before Cloudflare publicly disclosed the bug, researchers reported today that they were still finding samples of leaked data in search engine caches.
