11:00 AM - 1:00 PM
[MGI30-P01] Renewal of Global Environmental Database (GED) in the runup to the release of a research data management system
Keywords:Open science, Open data, Research data infrastructure
The Center for Global Environmental Research (CGER), National Institute for Environmental Studies (NIES), has been operating the Global Environmental Database (GED) since May 2014 as a platform for publication of data on global environmental research including global warming. NIES/CGER started DOI minting to research datasets since 2016. Recently we receive many inquiries about the publication and DOI minting of evidential data used in papers submitted to journals. To support routine research data management and data release from the GED, NIES/CGER has been developing a research data management system (GERDaMS: Global Environmental Research Data Management System) as a data management platform since 2018. GERDaMS, which will be released this year, provides web application-based functions for metadata creation, DOI minting, licensing, and versioning. It facilitates data providers to collaborate on data management.
In this presentation, we introduce renewal of GED conducted before the release of GERDaMS. Not only improved the user interface (UI), we reconstructed the whole sites so that the following functions of GED to work in conjunction with GERDaMS.
- "Dataset List" is the main function of the GED, providing a list of the datasets and the metadata registered using GERDaMS. Users can narrow down the choice of datasets by keywords, categories, etc., and they can also search data from a map. The datasets are quality-controlled by the data providers and mostly provided with DOIs.
- "Real Time Data" lists the most up-to-date real time data (e.g. greenhouse gases, ultraviolet radiation, polar vortex, etc.), mainly obtained by NIES/CGER. The data of air pollutants observed at Hateruma island (Okinawa) and Cape Ochiishi (Hokkaido) are published from this renewal.
- "Analysis Tools" provides online tools that are helpful for users to make their own analyses using GED data. "Quick Plot" can visualize GED datasets as time series, scatter plots, and map images without downloading the data files. The UI of this tool has been improved to be more intuitive and easy-to-use. More instructions were added for other tools ("Trend Analysis", "Trajectory", and "Footprint") to support users.
- "Links" lists the data and results of CGER research projects in a wide range of fields grouped into different research themes.
We hope that these improved research data infrastructures will effectively support the research activities and promote the utilization of research data.
In this presentation, we introduce renewal of GED conducted before the release of GERDaMS. Not only improved the user interface (UI), we reconstructed the whole sites so that the following functions of GED to work in conjunction with GERDaMS.
- "Dataset List" is the main function of the GED, providing a list of the datasets and the metadata registered using GERDaMS. Users can narrow down the choice of datasets by keywords, categories, etc., and they can also search data from a map. The datasets are quality-controlled by the data providers and mostly provided with DOIs.
- "Real Time Data" lists the most up-to-date real time data (e.g. greenhouse gases, ultraviolet radiation, polar vortex, etc.), mainly obtained by NIES/CGER. The data of air pollutants observed at Hateruma island (Okinawa) and Cape Ochiishi (Hokkaido) are published from this renewal.
- "Analysis Tools" provides online tools that are helpful for users to make their own analyses using GED data. "Quick Plot" can visualize GED datasets as time series, scatter plots, and map images without downloading the data files. The UI of this tool has been improved to be more intuitive and easy-to-use. More instructions were added for other tools ("Trend Analysis", "Trajectory", and "Footprint") to support users.
- "Links" lists the data and results of CGER research projects in a wide range of fields grouped into different research themes.
We hope that these improved research data infrastructures will effectively support the research activities and promote the utilization of research data.