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The Organic Law 15/1999 of December 13 on Protection of Personal Data (Spanish: Ley Orgánica de Protección de Datos de Carácter Personal, LOPD) was a Spanish organic law that guaranteed and protected the processing of personal data, public liberties, and fundamental human rights, and especially of personal and family honor and privacy.
A data custodian ensures: Access to the data is authorized and controlled; Data stewards are identified for each data set; Technical processes sustain data integrity; Processes exist for data quality issue resolution in partnership with data stewards; Technical controls safeguard data; Data added to data sets are consistent with the common data ...
It relates to the general provisions of the law. According to the first article, the organic law has two purposes. The first is to adapt the Spanish law from what is contained in the General Data Protection Regulation and "guarantee that the digital rights of the citizen conform with the mandate established in article 18.4 of the Constitution."
A data steward may share some responsibilities with a data custodian, such as the awareness, accessibility, release, appropriate use, security and management of data. [1] A data steward would also participate in the development and implementation of data assets.
The AEPD has been conducting anti-spam investigations since 2004, collaborating with foreign agencies such as the United States Federal Trade Commission. [4] [5]The AEPD has come into conflict with Google over information gathered from Wi-Fi networks as Google Street View images were taken, asserting that "it has been verified that data on the location of wifi networks, with the identification ...
Data care involves protecting people's data in medical practices, law, politics, the organization of society, war, and international relations. [4] Hospitals keep their patient's data secure, data such as; routine healthcare data and patient contact. Data is now being kept electronically, replacing paper files.
Data security means protecting digital data, such as those in a database, from destructive forces and from the unwanted actions of unauthorized users, [1] ...
Data engineering is the practice of designing and building systems to collect, store, and process data. It ensures data is reliable and accessible for analysis and supports business intelligence and machine learning.