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Data Quotes

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Data Quotes

“What is your end goal? The collection and analysis of gender, sex and sexuality data is not an objective in itself, nor is the ambition to gather ‘good data’ or fix the numbers. While paying attention to the potential for methods to misrepresent or exclude, such as strategic essentialism, ensure that data about LGBTQ people is ultimately used to construct a social world that values and improves LGBTQ lives.”

“Do your methods present an authentic account of LGBTQ lives? Rather than adopt methods that promise a tidy dataset, recognize that data about identity characteristics is leaky, pluralistic and can change over time. A queer approach involves the use of innovative collection and analysis methods, such as multiple response options and the provision of open-text boxes, to produce a more authentic reflection of lives and experiences.”

“Who makes decisions about data that impact LGBTQ people? Decisions that disproportionately affect LGBTQ communities should be made by LGBTQ people. Where this is not practical, or there is a risk of overburdening a small number of people, decision-makers need queer data competence and the ability to recuse themselves when deliberations stretch beyond their capabilities. Use these instances to make space for people with knowledge and experience of the issues under discussion.”

“Does your project create more good than harm? And for whom? Assess what your project intends to achieve and its potential to cause harm; only continue when the potential benefits outweigh the potential dangers. Disaggregate the differential impacts among LGBTQ people to ensure that the project does not only benefit the least marginalized individuals, for whom sexual orientation is the only characteristics that excludes them from full inclusion.”

“Code is not like other how-computers-work books. It doesn't have big color illustrations of disk drives with arrows showing how the data sweeps into the computer. Code has no drawings of trains carrying a cargo of zeros and ones. Metaphors and similes are wonderful literary devices but they do nothing but obscure the beauty of technology.”

“The extreme rarity of transitional forms in the fossil record persists as a trade secret of Paleontology. Evolutionary trees that adorn our textbooks have data only at the tips and nodes of their branches; the rest is inference, however reasonable, not the evidence of fossils.”

“EMA research evidences strong and growing interest in leveraging log data across multiple infrastructure planning and operations management use cases. But to fully realize the potential complementary value of unstructured log data, it must be aligned and integrated with structured management data, and manual analysis must be replaced with automated approaches. By combining the RapidEngines capabilities with its existing solution, SevOne will be the first to truly integrate log data into an enterprise-class, carrier-grade performance management system.”

“Recruiting is hard. It's just finding the needles in the haystack. You can't know enough in a one-hour interview. So, in the end, it's ultimately based on your gut. How do I feel about this person? What are they like when they're challenged? I ask everybody that: 'Why are you here?' The answers themselves are not what you're looking for. It's the meta-data.”

“You don't just wake up one day with dementia or Alzheimer's; these conditions are developmental. Even when a problem triggers the need to collect data, it's reviewed by a specialist and filed away. There's no central repository allowing information to be shared across a multitude of researchers worldwide.”

“We do not realize how deeply our starting assumptions affect the way we go about looking for and interpreting the data we collect. We should recognize that nonhuman organisms need not meet every new definition of human language, tool use, mind, or consciousness in order to have versions of their own that are worthy of serious study. We have set ourselves too much apart, grasping for definitions that will distinguish man from all other life on the planet. We must rejoin the great stream of life from whence we arose and strive to see within it the seeds of all we are and all we may become.”

“PowerPoint presentations, the cesspool of data visualization that Microsoft has visited upon the earth. PowerPoint, indeed, is a cautionary tale in our emerging data literacy. It shows that tools matter: Good ones help us think well and bad ones do the opposite. Ever since it was first released in 1990, PowerPoint has become an omnipresent tool for showing charts and info during corporate presentations.”

“I regret that my coauthors and I omitted statistically significant information in our 2004 article published in the journal Pediatrics. The omitted data suggested that African American males who received the MMR vaccine before age 36 months were at increased risk for autism. Decisions were made regarding which findings to report after the data were collected, and I believe that the final study protocol was not followed.”

“To no circumstance is the wide diffusion of error in the world more owing than to our habit of adopting conclusions from insufficiently established data. An indispensable preliminary, then, in every investigation, is to get at facts. Until these are arrived at, every opinion, theory, or system, however ingeniously framed, must necessarily rest upon an uncertain basis.”

“To many of us now, computers, silicon chips, data processing, cybernetics, and all the other innovations of the dawning high technology age are as mystifying as the workings of the combustion engine must have been when that first Model T rattled down Main Street, U.S.A. But as surely as America's pioneer spirit made us the industrial giant of the 20th century, the same pioneer spirit today is opening up on another vast front of opportunity, the frontier of high technology.”