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Features: European regulators buckle under Schrems pressure • Data, the new blood • Defending in numbers: claiming database rights • 50 most influential in data • Why the ICO British Airways penalty was slashed • Salesforce v Oracle breaks new ground • GDPR with Chinese characteristics: China’s new draft personal data protection law • India contemplates non-personal data law • Secured data: using data as loan security
Understaffed and under-resourced European data protection authorities are likely to struggle with the new responsibilities handed to them by the Schrems II decision.
Data is valuable both to individuals it relates to and society as a whole. What would it take for people to give their data away for free?
Information is a lucrative currency in many industries, from sports fixtures and betting organisations to mapping, but protecting the investment that goes into collecting and presenting this data is proving a major intellectual property challenge. Fieldfisher partner Nick Rose and associate Miryam Boston examine the difficulties of claiming database rights.
Where some lead, others follow. GDR identifies the data community's leaders and trailblazers.
GDR explores how British Airways persuaded the UK data regulator to cut a planned record-breaking £183.4 million (€204 million) GDPR fine by nearly 90%.
GDPR class actions remain rare in Europe, and claimants face plenty of obstacles. The Salesforce and Oracle litigation, set to run in parallel in London and Amsterdam, is a case that practitioners need to watch closely.
Linklaters Shanghai counsel Alex Roberts sets out the main points of China’s new data protection framework.
In a unique policy proposal that suggests one of the world’s largest economies plans to boost its growth through data, a group of experts from India’s Ministry of Electronics and Information Technology have suggested sweeping new legislation to regulate non-personal data in the country.
Carolyn Bigg, a partner at DLA Piper in Hong Kong, discusses the novel idea of using data as collateral for loans. The value of data is widely accepted – could this be a new frontier in extracting value from data?
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