In 2016, a group of researchers, publishers and research funders published the first guidelines to make data “findable, accessible, interoperable and re-usable ...

The Common Data Set (CDS) initiative is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson's, and U.S. News & ...

Figure 1: Genomic copy number confounds the interpretation of CRISPR–Cas9 loss-of-function proliferation screens of cancer cell lines. Figure 3: CERES corrects the copy number effect and improves the ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

It’s an open secret that the data sets used to train AI models are deeply flawed. Image corpora tends to be U.S.- and Western-centric, partly because Western images dominated the internet when the ...

I’ve often been told, “The data does not lie.” However, that has never been my experience. For me, the data nearly always lies. Google Image search results for “healthy skin” show only light-skinned ...

A clear big data definition can be difficult to pin down because big data can cover a multitude of use cases. But in general the term refers to sets of data that are so large in volume and so complex ...

Many of us are awash in data, to the point where conventional databases and conventional BI systems can’t keep up, at least not in real time. There are workarounds, such as sampling the data or ...