Publication:

Ethical, Legal and Social Issues of Big Data : A Comprehensive Overview

Date

Date

Date
2022
Edited Scientific Work

Citations

Citation copied

Viganò, E. (Ed.). (2022). Ethical, Legal and Social Issues of Big Data : A Comprehensive Overview. ELSI Task Force for the National Research Programme 75 “Big Data.” https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4081192

Abstract

Abstract

Abstract

The ELSI White Paper is the final achievement of the ELSI Task Force for the National Research Programme “Big Data” (NRP 75). It is an informational document that provides an overview of the key ethical, legal, and social challenges of big data and provides guidance for the collection, use, and sharing of big data. The document aims to bring together the expertise of the ELSI Task Force members rather than exhaustively covering all topics in big data relating to ethical, legal, and social issues (ELSI).

The white paper comprises two

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70 since deposited on 2023-01-24
61last week
Acq. date: 2025-11-12

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69 since deposited on 2023-01-24
63last week
Acq. date: 2025-11-12

Citations

Additional indexing

Publisher

Publisher

Publisher
ELSI Task Force for the National Research Programme 75 "Big Data"

Place of Publication

Place of Publication

Place of Publication
Bern

Item Type

Item Type

Item Type
Edited Scientific Work

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2022

Date available

Date available

Date available
2023-01-24

OA Status

OA Status

OA Status
Green

Free Access at

Free Access at

Free Access at
Official URL

Metrics

Downloads

70 since deposited on 2023-01-24
61last week
Acq. date: 2025-11-12

Views

69 since deposited on 2023-01-24
63last week
Acq. date: 2025-11-12

Citations

Citations

Citation copied

Viganò, E. (Ed.). (2022). Ethical, Legal and Social Issues of Big Data : A Comprehensive Overview. ELSI Task Force for the National Research Programme 75 “Big Data.” https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4081192

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