By Amy Affelt, Thomas H. Davenport
Amy Affelt, writer of The unintended info Scientist, notes that "Librarians and data execs have constantly labored with info so as to meet the data wishes in their ingredients, therefore 'Big facts' isn't really a brand new notion for them." With The unintended information Scientist, Amy Affelt exhibits info pros the best way to leverage their abilities and coaching to grasp rising instruments, recommendations, and vocabulary; create mission-critical sizeable information examine deliverables; and observe profitable new occupation possibilities via embracing their internal info Scientist.
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Example text
There are also less obvious but equally damaging effects of corrupted data. The dispiriting effects of redoing a project, or even killing it due to a lack of reliable data, can seriously damage morale among team members at all levels. It can lead to questioning the potential success of future projects, or even to an exodus of workers, if serious questions remain regarding the company’s use of trustworthy data. Careful scrutiny of data by embedded data project team librarians prior to the “point of no return” (that is, the point in the project after which the above-mentioned wasted money and time cannot be recovered) can help an organization to avoid these issues altogether.
Just as I love printed books but still made the switch to Kindle and iPad-based reading, I believe that librarians should abandon that term and move to one of those I’ve already mentioned. Affelt comes to a somewhat different conclusion when she discusses the terminology of the field in this book, but acknowledges that it has been an important debate for many years. There is a lot of precedent for this repackaging, at both the institutional and individual level. Let me give you an example of each.
I am not certain that librarians would have been able to stop the NASA powers-that-be from going forward with the launch, but I am certain that if they were involved in these projects, they would have emphasized the importance of these additional three inches of steel. Problems with data quality do not need to have such dramatic effects to lead to serious problems for companies that can affect revenue and the bottom line. Data that is formatted in different ways can result in duplication or missed connections.