From Data Protection to Data Sovereignty: A multidimensional governance approach for shaping informational freedom in the ‘onlife’-era

Digitalisation carries the dangerous potential to constrict our exercise of freedom and self-determination. Most worryingly, this process is taking place in small steps and a point of no return might be reached in the not too distant future. In order to defend our individual self-determination, we t...

Full description

Saved in:  
Bibliographic Details
Main Author: Dabrock, Peter 1964- (Author)
Format: Electronic Article
Language:English
Check availability: HBZ Gateway
Journals Online & Print:
Drawer...
Fernleihe:Fernleihe für die Fachinformationsdienste
Published: Heidelberg University Publishing 2022
In: Cursor_
Year: 2022, Volume: 3, Pages: 71-85
Online Access: Volltext (kostenfrei)
Volltext (kostenfrei)

MARC

LEADER 00000naa a22000002 4500
001 1870733304
003 DE-627
005 20231121112247.0
007 cr uuu---uuuuu
008 231121s2022 xx |||||o 00| ||eng c
024 7 |a 10.17885/heiup.czeth.2022.3.24527  |2 doi 
035 |a (DE-627)1870733304 
035 |a (DE-599)KXP1870733304 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 1  |2 ssgn 
100 1 |e VerfasserIn  |0 (DE-588)114170169  |0 (DE-627)501838112  |0 (DE-576)175302707  |4 aut  |a Dabrock, Peter  |d 1964- 
109 |a Dabrock, Peter 1964-  |a Dabrock 1964- 
245 1 0 |a From Data Protection to Data Sovereignty: A multidimensional governance approach for shaping informational freedom in the ‘onlife’-era 
264 1 |c 2022 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
520 |a Digitalisation carries the dangerous potential to constrict our exercise of freedom and self-determination. Most worryingly, this process is taking place in small steps and a point of no return might be reached in the not too distant future. In order to defend our individual self-determination, we thus need to make the right to informational self-determination behind traditional data protection weatherproof for the age of Big Data, AI and machine learning. 
773 0 8 |i Enthalten in  |t Cursor_  |d Heidelberg : Heidelberg University Publishing, 2020  |g 3(2022), Seite 71-85  |w (DE-627)1686081804  |w (DE-600)3003806-6  |x 2699-3406  |7 nnns 
773 1 8 |g volume:3  |g year:2022  |g pages:71-85 
856 4 0 |u https://doi.org/10.17885/heiup.czeth.2022.3.24527  |x Resolving-System  |z kostenfrei  |3 Volltext 
856 4 0 |u https://heiup.uni-heidelberg.de/journals/cursor/article/view/24527  |x Verlag  |z kostenfrei  |3 Volltext 
936 u w |d 3  |j 2022  |h 71-85 
951 |a AR 
ELC |a 1 
LOK |0 000 xxxxxcx a22 zn 4500 
LOK |0 001 4414678773 
LOK |0 003 DE-627 
LOK |0 004 1870733304 
LOK |0 005 20231121112247 
LOK |0 008 231121||||||||||||||||ger||||||| 
LOK |0 040   |a DE-Tue135  |c DE-627  |d DE-Tue135 
LOK |0 092   |o n 
LOK |0 852   |a DE-Tue135 
LOK |0 852 1  |9 00 
LOK |0 935   |a ixzs  |a ixzo 
OAS |a 1 
ORI |a TA-MARC-ixtheoa001.raw