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Data appropriation is surely an ethical issue.
Data appropriation is a form of exploitation because companies use data to create value without providing people with comparable compensation.
Many common practices of data collection should actually be treated as a form of theft that I call data appropriation – which means capturing data from people without consent and compensation.
In short, rampant practices of data appropriation allow corporations and governments to build their wealth and power, without the headache of obtaining consent and providing compensation for the resource they desire.
Concerns have also been raised about the lack of separation of the various activities, in particular about samples/data management, and the risk of data appropriation.
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Republicans may tack an amendment allowing Congress access to census data onto an appropriations bill before Congress adjourns for the elections.
Using panel data on state appropriations at hundreds of public institutions between 1976 and 1996, a study by the economist Brad Humphreys estimates that institutions that joined Division I-A gained $6 million in appropriations on average, compared to institutions with no change in division status.
An International Council for Science report detects additional impediments in 'trends toward the appropriation of data, such as genetic information and the protection of databases' [ 14].
To be utilized in conjunction with a data set of human appropriation of net primary productivity (HANPP) in order to understand global energy flows and localized impacts on the environment.
The outcome of level three data analyses is an appropriation, or making your own in-depth understanding of what the text is talking about.
The question to what extent the opportunity of tailoring the intervention and its execution to the local circumstances of the health care centres would result in appropriations in data collection was, however, not addressed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com