Add to ORKGEthics-related aspects are becoming prominent in data management, thus the current processes for searching, querying, or analyzing data should be designed is such a way as to take into account the social problems their outcomes could bring about. In this paper we provide reections on the unavoidable ethical facets entailed by all the steps of the information life-cycle, including source selection, knowledge extraction, data integration and data analysis. Such reections motivated us to organize the First International Workshop on Processing Information Ethically (PIE)
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...
Ethics-related aspects are becoming prominent in data management, thus the current processes for sea...
The number of datasets available to legal practitioners, policy makers, scientists, and many other c...
The number of datasets available to legal practitioners, policy makers, scientists, and many other c...
The number of datasets available to legal practitioners, policy makers, scientists, and many other c...
The number of datasets available to legal practitioners, policy makers, scientists, and many other c...
In an era where data profoundly influences decision-making across various sectors, this comprehensiv...
The number of datasets available to legal practitioners, policy makers, scientists, and many other c...
The number of datasets available to legal practitioners, policy makers, scientists, and many other c...
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...
This theme issue has the founding ambition of landscaping Data Ethics as a new branch of ethics that...
This theme issue has the founding ambition of landscaping Data Ethics as a new branch of ethics that...
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...
Ethics-related aspects are becoming prominent in data management, thus the current processes for sea...
The number of datasets available to legal practitioners, policy makers, scientists, and many other c...
The number of datasets available to legal practitioners, policy makers, scientists, and many other c...
The number of datasets available to legal practitioners, policy makers, scientists, and many other c...
The number of datasets available to legal practitioners, policy makers, scientists, and many other c...
In an era where data profoundly influences decision-making across various sectors, this comprehensiv...
The number of datasets available to legal practitioners, policy makers, scientists, and many other c...
The number of datasets available to legal practitioners, policy makers, scientists, and many other c...
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...
This theme issue has the founding ambition of landscaping Data Ethics as a new branch of ethics that...
This theme issue has the founding ambition of landscaping Data Ethics as a new branch of ethics that...
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...
Data quality is a typical ethical requirement: we could never trust a piece of information if it did...