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Home » AOS Data Co., Ltd. publishes resource open data on data commerce ~ Improving productivity in the resource field with Data to AI (R) work technique ~

AOS Data Co., Ltd. publishes resource open data on data commerce ~ Improving productivity in the resource field with Data to AI (R) work technique ~

AOS Data Co., Ltd.
AOS Data Co., Ltd. publishes resource open data on data commerce ~ Improving productivity in the resource field with Data to AI (R) work technique ~
AOS Data Co., Ltd. (Headquarters: Minato-ku, Tokyo; President: Nobuya Yoshida; hereinafter referred to as AOS Data Co., Ltd.), a company that utilizes corporate data and AI, is a company that utilizes corporate data and AI. The importance of contributing to data-driven approaches to problem solving to support sustainable resource management and ensure market transparency through diverse data such as market trends, resource usage, and environmental impacts. We are pleased to announce that resource open data has been published on the AI ​​learning data commerce platform “”
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■Rising resource data The introduction and utilization of open data in the resource field is progressing rapidly. This is due to the increased emphasis on global environmental issues and sustainable development around the world. The transparency provided by open data enables broader access to information in policy-making, scientific research, and civil society decision-making. There are several important factors behind the increased emphasis on open data in the resource sector. These relate to a wide range of areas such as environmental conservation, economic efficiency, scientific and technological progress, and transparency in policy making. 1. Sustainable resource management – As resource depletion and
environmental destruction progress around the world, sustainable resource management has become an urgent need. By clarifying the usage status of resources and their impact on the environment, more effective resource management measures can be developed. 2.
Environmental protection and biodiversity conservation – In today’s world, where environmental issues such as global warming and biodiversity loss are becoming more serious, transparency of related data is required. It will be possible to deepen awareness of these issues and promote international cooperation. 3. Transparency and Accountability in Policy-Making – Make policy-making processes transparent and provide citizens and stakeholders with the means to properly monitor and evaluate government decisions. It is hoped that the credibility of the government will improve and fairer and more effective policies will be promoted. 4. Economic efficiency and creation of new markets – has the potential to create new business opportunities and improve economic efficiency. For example, the release of data on the expanded use of renewable energy can create new investment opportunities and promote the development of related industries. 5. Promoting scientific research and innovation – Enabling scientists and researchers to easily obtain and analyze data, leading to new research and technological developments. It is expected that the development of more efficient resource utilization technology and environmental protection technology will progress.
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These factors are interrelated, reinforcing the position of open data as an important tool for promoting sustainability in the resource sector, economic development, scientific and technological progress, and political transparency. Masu. ■What is resource data?
Decision-making in the field of resource management must be based on accurate and comprehensive data. Open data widely provides this information and plays an important role in supporting sustainable development. Below, we provide a detailed explanation of the areas covered by open data in the resource sector and the specific data items included in each. This data helps policy makers, researchers, businesses, and the general public make decisions related to the effective use of resources and environmental protection. 1. Geological survey data – Types and distribution of rocks – Geological structure and fault lines – Underground material composition – Location and scale of ore deposits – Geological period and history 2. Mineral resource data – Types and localities of minerals – Amount and quality mined – Mine operation status – Import/export data – History of mineral use 3. Water resource data – River and lake water quality data – Groundwater level and flow rate – Water source usage status – Irrigation water statistics – Water pollution indicators 4. Oil and natural gas Data – Location and depth of drilling wells – Production and consumption – Oil and gas extraction technology – Pipeline routes – Estimated amount of reserve resources 5. Renewable energy data – Solar power installed capacity – Wind power installation Location and capacity – Potential of geothermal power generation – Biomass utilization statistics – Renewable energy utilization rate 6. Forest resource data – Forest area and type – Amount of felling and reforestation rate – Health of forest ecosystem – Information on wildlife habitat – Forest fire occurrence data 7. Soil data – Soil types and distribution – Soil chemical properties – Soil erosion status – Land use changes – Soil management in agricultural use 8. Air pollution data – Air quality index of major cities – Greenhouses Effect gas emissions – Pollutants in industrial areas – Emission data from traffic – Effects of air quality improvement measures 9. Climate change data – Long-term data on temperature changes – Precipitation and its seasonal variations – Decline in glaciers and ice caps – Sea level Rate of increase – Records of extreme weather events 10. Fisheries resource data – Fish catches and catch types – Aquaculture statistics – Fisheries regulations and management measures – Geographic location of fishing grounds – Sustainability assessment of fish stocks 11. Biodiversity data – Conservation status of species – Distribution and health of ecosystems – Scope and management of protected areas – Information on invasive alien species – Data on endangered species 12. Waste management data – Volume and type of waste – Recycling rates and Methodology – Location of waste treatment facilities – Records of hazardous materials treatment – Waste policy by city 13. Energy consumption data – Energy consumption by sector – Household energy usage – Energy efficiency by industry – Energy conservation measures Implementation status – Adoption rate of alternative energy 14. Urban development and land use data – Progress of urbanization – Details of land use changes – Development permits and land sales records – Establishment of green protected areas – Changes in urban planning 15. Agricultural data – Crop types and production – Pesticide usage – Livestock scale and production – Farmland water use – Food safety monitoring 16. Ecotourism data – Number of visitors to ecotourism sites – Tourism use of nature reserves – Number of users of environmental education programs – Statistics on participation in conservation activities – Economic impact of ecotourism
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Data in these areas is collected and published by governments, research institutes, and NGOs. Each type of data is used for decision-making in a wide range of fields, including environmental conservation, resource management, policy planning, and industrial development. ■From sharing and utilizing data to promoting DX where it is bought and sold as an asset AOS Data has the catchphrase “Data to AI(R)” and provides one-stop data services for AI and data-driven management in the AI/DX era. It is expanding. Specifically,
“” is a platform that digitizes analog information such as paper, “” is a platform that safely shares and accumulates data within companies, and “data119” is a data recovery center that recovers lost data. We operate and provide one-stop solutions for managing the entire data lifecycle, including AI data processing center (data annotation service) “” for utilizing data. doing. “” is a data trading marketplace between companies that is positioned next to the data lifecycle of data conversion, data sharing and storage, and data utilization, and promotes DX where corporate data is bought and sold as an asset. .
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■, the award-winning technology that supports the AI ​​learning data commerce “”, has won three consecutive awards: AOS Group’s legal tech technology that won the Minister of Economy, Trade and Industry Award, and the ITreview Grid Award. The cloud backup technology of “AOSBOX” won the ITreview Customer Voice Leaders Award in November 2020, the data management technology that won the BCN AWARD System Maintenance Software Category Grand Prize for 15 consecutive years, and the group company Legal Tech, which won the Minister of Economy, Trade and Industry Award. It was developed as a solution to support AOS IDX, an intelligent DX solution based on a secure data exchange, sharing, and storage system that combines the VDR technologies of ■Recruiting resource data providers In recent years, the field of resource management has attracted a lot of attention from the perspectives of sustainable development and environmental protection. In particular, the evolution of digital technology has increased the importance of resource data, and decision-making based on accurate data is the key to increasing industry efficiency and reducing environmental impact. At, we aim to respond to these changes and build a new data commerce platform. For this reason, we are recruiting data providers who can provide high-quality resource data. We look forward to working with you as a partner to contribute to the evolution of resource management and build the future together. [About AOS Data Co., Ltd.] Name: AOS Data Co., Ltd. Representative: Nobuya Yoshida Established: April 2015 Location: 4F, ​​Metro City Kamiyacho Building, 5-1-5 Toranomon, Minato-ku, Tokyo Capital: 100 million Yen (capital reserve 1.525 billion yen) URL:
AOS Data Co., Ltd. provides a variety of products tailored to the life cycle, from the introduction of software such as cloud backup AOSBOX to the disposal of computers and smartphones. We took over the business from. As a result, we offer the following lineup of “data management” products and services.・”Cloud backup” for preventing data troubles ・”Data restoration”, “data erasure” and “data migration” for data maintenance ・”Data recovery service” for dealing with data troubles ・”Data security” for protecting data from troubles
・Evidential data “Legal Data Service”, which conducts restoration investigations and evidence data creation.In addition, from April 2021, AOS Group’s AI / DX business division will be integrated with “Data Asset Management” solutions, and the utilization of data, which is the key to industrial DX, will be expanded. In particular, we will evolve into a data platform company that maximizes data utilization for AI.
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