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How should sensitive data be handled and stored?
For managing sensitive data Only collect as much sensitive or personal information as needed for your research project Data that contains personal or sensitive information should be treated with higher levels of security than non-sensitive data. Copies of personal data should be kept to a minimum inRead more
For managing sensitive data
See lessOnly collect as much sensitive or personal information as needed for your research project
Data that contains personal or sensitive information should be treated with higher levels of security than non-sensitive data.
Copies of personal data should be kept to a minimum in order to reduce risk of disclosure or unauthorised access.
Where possible, identifiable data should be anonymised. The GDPR does not apply to anonymised data but best practice for handling sensitive data should still be followed. The UK Data Service have published guidance on anonymising quantitative and qualitative data
If data have been pseudonymised (i.e. where information that identifies an individual is replaced by a code), the code key should be kept in a separate location
Any sensitive data stored on portable media or personal devices should be password protected or encrypted.
Access to devices, files or servers containing sensitive or personal data should be responsibly managed and regularly reviewed.
Always transfer sensitive or confidential data securely (Sharing files)
A plan for the timely and necessary deletion of personal information should be put together at the start of any project and included in your data management plan. Imperial ICT can be consulted about methods for ensuring permanent deletion of sensitive information.
Explain the challenges and prospects of renewable energy sources in India.
Major Challenges In Renewable Energy Sources: 1. Buyer’s risk: This is the risk that the buyer will not meet its contractual obligations or that payment will be late or incomplete. . 2. Insufficient infrastructure: Inefficiencies due to a lack of infrastructure for power generation and distributionRead more
1. Buyer’s risk: This is the risk that the buyer will not meet its contractual obligations or that payment will be late or incomplete. .
2. Insufficient infrastructure: Inefficiencies due to a lack of infrastructure for power generation and distribution are major obstacles to foreign investment.
3. Lack of financial intermediaries: Another obstacle for Indian institutional investors is the lack of financial intermediaries in the renewable energy sector.
4. Limited understanding: Renewable energy is a non-traditional investment destination and potential investors are often cautious due to their limited understanding of the sector.
2.Prospects of Renewable Energy Sources:
India stands among top 5 countries in the world in terms of Renewable Energy.
The installed base is 9% of total power generation capacity and contributes 3% to the electricity mix
The national action plan on climate change in 2008 is identified as Solar energy development
In Nov 2009 Gol approved national solar mission which aims to enable 20000 MW to be deployed in india by 2022
IT and Computer Science
AI also offers tools to combat climate change. AI can analyze vast datasets to improve climate models, optimize energy use in buildings, and even enhance the efficiency of renewable energy sources. For example, AI-driven systems can predict weather patterns more accurately, helping to optimize reneRead more
AI also offers tools to combat climate change. AI can analyze vast datasets to improve climate models, optimize energy use in buildings, and even enhance the efficiency of renewable energy sources.
For example, AI-driven systems can predict weather patterns more accurately, helping to optimize renewable energy production.
According to the World Economic Forum’s recent report on emerging technologies, AI applications in smart grids, precision agriculture, and climate predictions are crucial for reducing greenhouse gas emissions and managing environmental impacts.
Additionally, AI can assist in monitoring deforestation and tracking wildlife, aiding conservation efforts. However, these benefits must be weighed against the environmental costs of maintaining AI systems. The challenge lies in harnessing AI’s potential for good while minimizing its adverse impacts.
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