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  Data, Responsibly

Abiteboul, S., Miklau, G., Stoyanovich, J., & Weikum, G. (Eds.). (2016). Data, Responsibly. Wadern: Schloss Dagstuhl. doi:10.4230/DagRep.6.7.42.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-500A-2 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-5732-A
Genre: Proceedings
Abbreviation : Dagstuhl Seminar 16291

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Locator:
http://drops.dagstuhl.de/opus/volltexte/2016/6764/ (Preprint)
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http://drops.dagstuhl.de/doku/urheberrecht1.html (Copyright transfer agreement)
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 Creators:
Abiteboul, Serge1, Editor
Miklau, Gerome1, Editor
Stoyanovich, Julia1, Editor           
Weikum, Gerhard2, Editor           
Affiliations:
1External Organizations, ou_persistent22              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Free keywords: Data responsibly, Big data, Machine bias, Data analysis, Data management, Data mining, Fairness, Diversity, Accountability, Transparency, Personal
 Abstract: -

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Language(s): eng - English
 Dates: 2016
 Publication Status: Published online
 Pages: 30 p.
 Publishing info: Wadern : Schloss Dagstuhl
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.4230/DagRep.6.7.42
BibTex Citekey: AbiteboulDagstuhl2016
URN: urn:nbn:de:0030-drops-67644
 Degree: -

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Title: Dagstuhl Seminar 16291 "Data, Responsibly"
Place of Event: Wadern, Germany
Start-/End Date: 2016-07-17 - 2016-07-22

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Title: Dagstuhl Reports
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 6 (7) Sequence Number: - Start / End Page: 42 - 71 Identifier: ISSN: 2192-5283