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Big data ethics, also known simply as data ethics, refers to systemizing, defending, and recommending concepts of right and wrong conduct in relation to data, in particular personal data. [1] Since the dawn of the Internet the sheer quantity and quality of data has dramatically increased and is continuing to do so exponentially.
Information ethics has been defined as "the branch of ethics that focuses on the relationship between the creation, organization, dissemination, and use of information, and the ethical standards and moral codes governing human conduct in society". [1]
To define data care means treating people and their private information fairly and with dignity in terms of their data. [1] Data care is a term used by the cybersecurity industry , to teach people to be more careful with their data on social media and their mobile devices. [ 3 ]
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The data usually need to be integrated with other data. In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing. I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation. I2. (Meta)data use vocabularies that follow FAIR principles I3.
The ethics of artificial intelligence covers a broad range of topics within the field that are considered to have particular ethical stakes. [1] This includes algorithmic biases, fairness, automated decision-making, accountability, privacy, and regulation.
The data economy raises concerns about regulatory uncertainties and incoherence, privacy, ethics, the loss of control of data, and the ownership of data and related rights. [ 20 ] [ 21 ] [ 22 ] Mathematical models and algorithms based on them are too often opaque, unregulated, and incontestable.
Data mining is the process of extracting and discovering patterns in large ... and ethics. [28] In particular, data mining government or commercial data sets for ...