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  2. Big data ethics - Wikipedia

    en.wikipedia.org/wiki/Big_data_ethics

    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.

  3. Ethical code - Wikipedia

    en.wikipedia.org/wiki/Ethical_code

    A code of practice is adopted by a profession (or by a governmental or non-governmental organization) to regulate that profession. A code of practice may be styled as a code of professional responsibility, which will discuss difficult issues and difficult decisions that will often need to be made, and then provide a clear account of what behavior is considered "ethical" or "correct" or "right ...

  4. Affordable Care Act - Wikipedia

    en.wikipedia.org/wiki/Affordable_Care_Act

    A study using national data from the Health Reform Monitoring Survey determined that unmet need due to cost and inability to pay medical bills significantly decreased among low-income (up to 138% FPL) and moderate-income (139-199% FPL) adults, with unmet need due to cost decreasing by approximately 11 percentage points among low-income adults ...

  5. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Big data in marketing is a highly lucrative tool that can be used for large corporations, its value being as a result of the possibility of predicting significant trends, interests, or statistical outcomes in a consumer-based manner. [115] There are three significant factors in the use of big data in marketing:

  6. Big data maturity model - Wikipedia

    en.wikipedia.org/wiki/Big_Data_Maturity_Model

    The TDWI big data maturity model is a model in the current big data maturity area and therefore consists of a significant body of knowledge. [6] Maturity stages. The different stages of maturity in the TDWI BDMM can be summarized as follows: Stage 1: Nascent. The nascent stage as a pre–big data environment. During this stage:

  7. FAIR data - Wikipedia

    en.wikipedia.org/wiki/FAIR_data

    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.

  8. ALA Code of Ethics - Wikipedia

    en.wikipedia.org/wiki/ALA_Code_of_Ethics

    The Code was created in 1939 and since has been updated four times. The Code of Ethics was first amended in 1981 and then again in 1995 and 2008. The most current version was accepted by the ALA on June 29, 2021. [2] A common thread within the various Code of Ethics focuses on the significance of intellectual freedom and the dangers of ...

  9. Affinity analysis - Wikipedia

    en.wikipedia.org/wiki/Affinity_analysis

    Although this urban legend is only an example that professors use to illustrate the concept to students, the explanation of this imaginary phenomenon might be that fathers that are sent out to buy diapers often buy a beer as well, as a reward. [3] This kind of analysis is supposedly an example of the use of data mining. A widely used example of ...