Human activities, such as the burning of fossil fuels, are the primary cause of climate change.

Carbon dioxide is the most significant contributor to climate change, accounting for approximately 60% of the total greenhouse gas emissions.

Climate change impacts research data management in multiple ways, including increasing the risk of data loss, requiring more energy, and making it more difficult to share data.

Effective research data management in the context of climate change involves a combination of strategies, including regular backups, energy-efficient systems, and data sharing agreements.

While climate change can have negative impacts on research data management, it is unlikely to lead to improved data quality due to more accurate climate models.

Data standards play a crucial role in managing research data in the context of climate change by ensuring consistency, facilitating data sharing, and reducing the risk of data loss and corruption.

The NetCDF Climate and Forecast (CF) Convention, the World Meteorological Organization (WMO) Climate Data Standards, and the International Organization for Standardization (ISO) 19115-2 Geographic Information Metadata Standard are all examples of data standards commonly used in climate change research.

Managing research data in the context of climate change presents several challenges, including the large volume and complexity of data, the need for long-term storage and preservation, and the diversity of data formats and standards.

Researchers can contribute to improving research data management practices in the context of climate change by following data standards, documenting their data and metadata thoroughly, and sharing their data with other researchers.

Effective research data management in the context of climate change can lead to improved understanding of climate change and its impacts, more accurate climate models and predictions, and better informed decision-making for climate change adaptation and mitigation.

Deleting data that is no longer needed is not a recommended practice for managing research data in the context of climate change, as climate data can have long-term value for research and decision-making.

Data repositories play a crucial role in managing research data in the context of climate change by providing a secure and reliable place to store and preserve data, facilitating data sharing and collaboration, and helping to ensure that data is properly documented and standardized.

The World Data Center for Climate (WDCC), the National Center for Atmospheric Research (NCAR) Data Archive, and the European Centre for Medium-Range Weather Forecasts (ECMWF) Data Store are all examples of data repositories commonly used in climate change research.

Researchers can find and access research data related to climate change by searching data repositories and catalogs, contacting the authors of relevant studies, and attending conferences and workshops.

Emerging trends and technologies such as artificial intelligence, machine learning, new data standards, interoperability frameworks, and cloud computing are shaping the future of research data management in the context of climate change.