Grasso Toro, Federico; Schreier, Gero (12 April 2024). Towards achieving FAIR research results in Social Sciences and Humanities (SSH) (Unpublished). In: Data Science for the Sciences. Bern. 11-12 April 2024.
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DS4S_FAIR_research_results_SSH_240412.pdf - Other Available under License Creative Commons: Attribution-No Derivative Works (CC-BY-ND). Download (1MB) | Preview |
While FAIR-data Pipelines are created for machine-to-machine (M2M) communication, a FAIR-SSH-data Pipeline shall also aid researchers creating transparent, replicable and reproducible research data, as well as (if required) providing a secure framework for dealing with sensitive data, i.e., FAIR-SSH-sensitive-data Pipelines.
Item Type: |
Conference or Workshop Item (Poster) |
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Division/Institute: |
?? CFD5A3B7FBB14D5C902BA64075678660 ?? 13 Central Units > Administrative Director's Office > University Library of Bern |
UniBE Contributor: |
Grasso Toro, Federico, Schreier, Gero |
Subjects: |
000 Computer science, knowledge & systems > 020 Library & information sciences |
Language: |
English |
Submitter: |
Gero Trudpert Schreier |
Date Deposited: |
19 Apr 2024 09:16 |
Last Modified: |
19 Apr 2024 09:16 |
Uncontrolled Keywords: |
FAIR data principles; social sciences and humanities, sensitive data |
BORIS DOI: |
10.48350/196097 |
URI: |
https://boris.unibe.ch/id/eprint/196097 |
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