Research Data Management - 7. Part: Anonymize your data
Research Data Management - 7. Part: Anonymize your data
Series of video presentation on Research Data Management Part: Introduction and data lifecycle https://doi.org/10.5281/zenodo.15878642 Part: Data Management Plan (DMP) https://doi.org/10.5281/zenodo.15878713 Part: Document your data https://doi.org/10.5281/zenodo.16432261 Part: Format your data https://doi.org/10.5281/zenodo.16442341 Part: Store and backup your data https://doi.org/10.5281/zenodo.16478040 Part: Share your data in a project https://doi.org/10.5281/zenodo.16789145 Part: Anonymize your data https://doi.org/10.5281/zenodo.16885862 This video focus various aspect of anonymization of data. It is essential in this world of fast developing AI. The following tools have been used to produce the video: GPT 4.1 help to improve the text for a video Eleven labs provided the voices HeyGen was used to produce the videos including the Avatar
Data Anonymization, RDM, Research data management
Data Anonymization, RDM, Research data management
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!