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観測データおよび情報の共有、統合、融合

目標を同一とする連携機関間での観測データの統合及び融合については着実に進められている。ただし、多様な観測データ・情報の集積・利活用が基盤となる課題解決型の地球観測システムの構築に向けては、一見、個別目標が異なる担当機関間を横断するデータの共有、統融合も重要となる。しかし、個別目標が異なる担当機関間を横断するデータの共有、統合、融合ならびに統合システム間のデータ交換は進んでいるとは言い難いのが現状である。地球観測データ取得286施策(再掲含む)中、115施策(再掲含む)の観測データは取得機関のサーバー等のみへの登録であり、また実施方針には科学技術重要施策アクションプランにおいて「地球観測データの統合化を進め、統合データが全体に占める割合を90%以上に引き上げる。」と引用されているが、DIASにおいては286施策(再掲を含む)中メタデータの登録は24施策、データの登録は22施策のみにとどまっている。まず、その第一段階であるデータ共有の作業を速やかに推進する必要がある。また、多様な観測データと情報の共有・統合・融合に不可欠なプラットフォームとなる「水分野」や「生態系・生物多様性分野」の地球観測連携拠点の設置検討をより強力に推し進めることが求められる。

Sharing, Integration, and Merge of Observation Data and Information

The integration and merge of observation data among partner institutions with a shared goal are steadily advancing. However, in order to build a problem-solving Earth observation system based on accumulation and utilization of various types of observation data and information, it is also important to share, integrate and merge data across institutions with different goals at first glance. At the moment, though, it is difficult to say that the sharing, integration and merging of data between institutes with different objectives, or that the exchange of data between integrated systems is progressing. Out of 286 Earth observation data acquisition measures (including republications), the observation data of 115 measures (including republications) are only registered to the server of the institution that acquired it. The implementation policy is quoted as “Promote integration of Earth observation data and raise the proportion accounted for by integrated data to more than 90% of the total”, but in DIAS, out of 286 measures (including republications), only the metadata of as few as 24 measures and the data of 22 measures have been registered. First of all, it is necessary to quickly promote the work of data sharing, which is the initial step of this process. It also requires a stronger push on the study to establish a cooperative Earth observation center of “Water Sector” and “Ecosystem/Biodiversity Sector”, which will be an indispensable platform for sharing, integrating and merging diverse observation data and information.

Sharing, Integration, and Merge of Observation Data and Information

The process of integration and merge of observation data among partner institutions with a shared goal are is steadily advancing. However, in order to build a problem-solving Earth observation system based on accumulation and utilization of various types of observation data and information, it is also important that this process also occurs to share, integrate and merge data across institutions with that, at first glance, have different goals at first glance. At the moment, though, it is difficult to say that the sharing, integration, and merging of data between institutes with different objectives, or that the exchange of data between integrated systems, isare progressing. Out of 286 measures of Earth observation data acquiredsition measures (including republications), the observation data of 115 measures (including republications) are only registered to the server of the institution that responsible for the acquired itsition. The implementation policy is quoted as “Promote integration of Earth observation data and raise the proportion of accounted for by integrated data to more than 90% of the total”, but in DIAS, out of the 286 measures (including republications), only the metadata of as few as 24 measures and the data of 22 measures have been registered to DIAS. First of all, it is necessary to quickly promote the work of data sharing, which is the initial step of this process, as soon as possible. It is also requiresd ato further  stronger push on endorse the study to establish a cooperative Earth observation center of Water  Sector” and Ecosystem/Biodiversity Ssectors, which will be an indispensable platform for sharing, integrating and merging a diverse range of observation data and information.

Sharing, Integration, and Merginge of Observation Data and Information

Partner institutions with common goals The process of integration and merge of observation data among partner institutions with a shared goal is steadily advancingare continually integrating and merging observation data amongst themselves. However, in order to build a problem-solving Earth observation system based on accumulation and utilization of various types of observation data and information, it is important that this process also occurs across institutions that, at first glance, have different goalsto also include various institutions, including those that seemingly do not share goals. At the moment, though,Presently, it is difficult to say thatassess how the sharing, integratingon, and merging of data between institutions institutes with different objectives, or the exchange of data between integrated systems, are progressing. The Data Integration and Analysis System (DIAS) incorporates analysis, data, and models from varied disciplines. It collects and stores data from satellites, ground observation stations and numerical weather prediction models, and integrates these data with geographical and socioeconomic information to generate results for crisis management of global environmental issues. The stated policy of DIAS is to “promote integration of Earth observation data and raise the proportion of integrated data to more than 90% of the total”. Out ofOf the 286 measures of Earth observation data acquired (including replicationsrepublications), however, only 115 measures (including republications) are only are registered to the server of the institution responsible for data the acquisition. The implementation policy is quoted as Promote integration of Earth observation data and raise the proportion of integrated data to more than 90% of the total”, Moreover, ofbut out of these 286 measures (including republications), only the metadata of as few as 24 measures and the data of 22 measures have been are registered to DIAS. Therefore, fFirst of allirst, it is necessary to consistently and proactively promote the work of data sharing, the initial step of this process, as soon as possible. It is also required to further endorseFurther, endorsing  the study tothe establishment of a cooperative Earth observation center of for the Water water and Ecosystemecosystem/Biodiversity biodiversity sectors is also crucial, as it, which will be an indispensable platform for sharing, integrating, and merging a diverse range of observation data and information.

Sharing, Integration, and Merginge of Observation Data and Information

Partner institutions with common goals The process of integration and merge of observation data among partner institutions with a shared goal is steadily advancingare continually integrating and merging observation data amongst themselves. However, in order to build a problem-solving Earth observation system based on accumulation and utilization of various types of observation data and information, it is important that this process also occurs across institutions that, at first glance, have different goalsto also include various institutions, including those that seemingly do not share goals. At the moment, though,Presently, it is difficult to say thatassess how the sharing, integratingon, and merging of data between institutions institutes with different objectives, or the exchange of data between integrated systems, are progressing. The Data Integration and Analysis System (DIAS) incorporates analysis, data, and models from varied disciplines. It collects and stores data from satellites, ground observation stations, and numerical weather prediction models, and integrates these data with geographical and socioeconomic information to generate results for crisis management of global environmental issues. The stated policy of DIAS is to “promote integration of Earth observation data and raise the proportion of integrated data to more than 90% of the total”. Out ofHowever, of the 286 measurements of Earth observation data acquired (including replicationsrepublications),  only 115 measures (including republications) are only are registered to the server of the institution responsible for data the acquisition. The implementation policy is quoted as Promote integration of Earth observation data and raise the proportion of integrated data to more than 90% of the total”, Moreover, forbut out of these 286 measurements (including republications), only the the metadata of as few as 24 measures and the data of 22 measures have been are registered to DIAS. Therefore, fFirst of allirst, it is necessary to consistently and proactively promote the work of data sharing, the initial step of this process, as soon as possible. It is also required to further endorseFurther, endorsing  the study tothe establishment of a cooperative Earth observation center of for the Water water and Ecosystemecosystem/Biodiversity biodiversity sectors is also crucial, as it, which will be an indispensable platform for sharing, integrating, and merging a diverse range of observation data and information.

観測データおよび情報の共有、統合、融合

目標を同一とする連携機関間での観測データの統合及び融合については着実に進められている。ただし、多様な観測データ・情報の集積・利活用が基盤となる課題解決型の地球観測システムの構築に向けては、一見、個別目標が異なる担当機関間を横断するデータの共有、統融合も重要となる。しかし、個別目標が異なる担当機関間を横断するデータの共有、統合、融合ならびに統合システム間のデータ交換は進んでいるとは言い難いのが現状である。地球観測データ取得286施策(再掲含む)中、115施策(再掲含む)の観測データは取得機関のサーバー等のみへの登録であり、また実施方針には科学技術重要施策アクションプランにおいて「地球観測データの統合化を進め、統合データが全体に占める割合を90%以上に引き上げる。」と引用されているが、DIASにおいては286施策(再掲を含む)中メタデータの登録は24施策、データの登録は22施策のみにとどまっている。まず、その第一段階であるデータ共有の作業を速やかに推進する必要がある。また、多様な観測データと情報の共有・統合・融合に不可欠なプラットフォームとなる「水分野」や「生態系・生物多様性分野」の地球観測連携拠点の設置検討をより強力に推し進めることが求められる。

Sharing, Integration, and Merge of Observation Data and Information

The integration and merge of observation data among partner institutions with a shared goal are steadily advancing. However, in order to build a problem-solving Earth observation system based on accumulation and utilization of various types of observation data and information, it is also important to share, integrate and merge data across institutions with different goals at first glance. At the moment, though, it is difficult to say that the sharing, integration and merging of data between institutes with different objectives, or that the exchange of data between integrated systems is progressing. Out of 286 Earth observation data acquisition measures (including republications), the observation data of 115 measures (including republications) are only registered to the server of the institution that acquired it. The implementation policy is quoted as “Promote integration of Earth observation data and raise the proportion accounted for by integrated data to more than 90% of the total”, but in DIAS, out of 286 measures (including republications), only the metadata of as few as 24 measures and the data of 22 measures have been registered. First of all, it is necessary to quickly promote the work of data sharing, which is the initial step of this process. It also requires a stronger push on the study to establish a cooperative Earth observation center of “Water Sector” and “Ecosystem/Biodiversity Sector”, which will be an indispensable platform for sharing, integrating and merging diverse observation data and information.

Sharing, Integration, and Merge of Observation Data and Information

The process of integration and merge of observation data among partner institutions with a shared goal are is steadily advancing. However, in order to build a problem-solving Earth observation system based on accumulation and utilization of various types of observation data and information, it is also important that this process also occurs to share, integrate and merge data across institutions with that, at first glance, have different goals at first glance. At the moment, though, it is difficult to say that the sharing, integration, and merging of data between institutes with different objectives, or that the exchange of data between integrated systems, isare progressing. Out of 286 measures of Earth observation data acquiredsition measures (including republications), the observation data of 115 measures (including republications) are only registered to the server of the institution that responsible for the acquired itsition. The implementation policy is quoted as “Promote integration of Earth observation data and raise the proportion of accounted for by integrated data to more than 90% of the total”, but in DIAS, out of the 286 measures (including republications), only the metadata of as few as 24 measures and the data of 22 measures have been registered to DIAS. First of all, it is necessary to quickly promote the work of data sharing, which is the initial step of this process, as soon as possible. It is also requiresd ato further  stronger push on endorse the study to establish a cooperative Earth observation center of Water  Sector” and Ecosystem/Biodiversity Ssectors, which will be an indispensable platform for sharing, integrating and merging a diverse range of observation data and information.

Sharing, Integration, and Merginge of Observation Data and Information

The process of integration and mergeintegration and merging of observation data among partner institutions with a shared goalthat share goals is steadily advancing. However, in order to build a problem-solving Earth observation system based on accumulation and utilization of various types of observation data and information, it is important that this process also occurs across institutions that, at first glance, have different goals. At the moment, though,Presently, it is difficult to say thatassess how the sharing, integratingon, and merging of data between institutions institutes with different objectives, or the exchange of data between integrated systems, are progressing. Out ofOf the 286 measures measurements of Earth observation data acquired (including republications), only 115 measures (both numbers include replicationsincluding republications) are only registered to the server of the institution responsible for the acquisition. The goal of the implementation policy is quoted as to Promote promote integration of Earth observation data and raise the proportion of integrated data to more than 90% of the total”., Obut out of f the 286 measures (including replicationsrepublications), only the metadata of as few as 24 measures and the data of 22 measures have been registered to the Data Integration and Analysis System (DIAS). First of allFirstly, it is necessary to promote the work of data sharing, the initial step of this process, as soon as possible. It is also required to further endorseFurther, endorsing  the study tothe establishment of a cooperative Earth observation center of for the Water water and Ecosystemecosystem/Biodiversity biodiversity sectors is also necessary as it, which will be an indispensable platform for sharing, integrating, and merging a diverse range of observation data and information.

Sharing, Integration, and Merginge of Observation Data and Information

The process of integration and mergeintegration and merging of observation data among partner institutions with a shared goalthat share goals is has been steadily advancing. However, in order to build a problem-solving Earth observation system based on accumulation and utilization of various types of observation data and information, it is important that this process also occurs across institutions that, at first glance, may have different goals. At the moment, though,Presently, it is difficult to say thatassess how the sharing, integration, and merging of data between institutions institutes with different objectives, or the exchange of data between integrated systems, are progressing. Out ofOf the 286 measures measurements of Earth observation data acquired (including republications), only 115 measures (both numbers include replicationsincluding republications) are only registered to the server of the institution responsible for the acquisition. The goal of the implementation policy is quoted as to Promote promote integration of Earth observation data and raise the proportion of integrated data to more than 90% of the total., but out of Regarding the data of the 286 measurements (including replicationsrepublications), only the metadata of as few as 24 measurements and the data of 22 measurements have been registered to the Data Integration and Analysis System (DIAS). First of allFirstly, it is necessary to promote the work of data sharing, the initial step of this process, as soon as possible. It is also required to further endorseFurther, endorsing  the study tothe establishment of a cooperative Earth observation center of for the Water water and Ecosystemecosystem/Biodiversity biodiversity sectors is also necessary as it, which will be an indispensable platform for sharing, integrating, and merging a diverse range of observation data and information.

観測データおよび情報の共有、統合、融合

目標を同一とする連携機関間での観測データの統合及び融合については着実に進められている。ただし、多様な観測データ・情報の集積・利活用が基盤となる課題解決型の地球観測システムの構築に向けては、一見、個別目標が異なる担当機関間を横断するデータの共有、統融合も重要となる。しかし、個別目標が異なる担当機関間を横断するデータの共有、統合、融合ならびに統合システム間のデータ交換は進んでいるとは言い難いのが現状である。地球観測データ取得286施策(再掲含む)中、115施策(再掲含む)の観測データは取得機関のサーバー等のみへの登録であり、また実施方針には科学技術重要施策アクションプランにおいて「地球観測データの統合化を進め、統合データが全体に占める割合を90%以上に引き上げる。」と引用されているが、DIASにおいては286施策(再掲を含む)中メタデータの登録は24施策、データの登録は22施策のみにとどまっている。まず、その第一段階であるデータ共有の作業を速やかに推進する必要がある。また、多様な観測データと情報の共有・統合・融合に不可欠なプラットフォームとなる「水分野」や「生態系・生物多様性分野」の地球観測連携拠点の設置検討をより強力に推し進めることが求められる。

Sharing, Integration, and Merge of Observation Data and Information

The integration and merge of observation data among partner institutions with a shared goal are steadily advancing. However, in order to build a problem-solving Earth observation system based on accumulation and utilization of various types of observation data and information, it is also important to share, integrate and merge data across institutions with different goals at first glance. At the moment, though, it is difficult to say that the sharing, integration and merging of data between institutes with different objectives, or that the exchange of data between integrated systems is progressing. Out of 286 Earth observation data acquisition measures (including republications), the observation data of 115 measures (including republications) are only registered to the server of the institution that acquired it. The implementation policy is quoted as “Promote integration of Earth observation data and raise the proportion accounted for by integrated data to more than 90% of the total”, but in DIAS, out of 286 measures (including republications), only the metadata of as few as 24 measures and the data of 22 measures have been registered. First of all, it is necessary to quickly promote the work of data sharing, which is the initial step of this process. It also requires a stronger push on the study to establish a cooperative Earth observation center of “Water Sector” and “Ecosystem/Biodiversity Sector”, which will be an indispensable platform for sharing, integrating and merging diverse observation data and information.

Sharing, Integration, and Merge of Observation Data and Information

The process of integration and merge of observation data among partner institutions with a shared goal are is steadily advancing. However, in order to build a problem-solving Earth observation system based on accumulation and utilization of various types of observation data and information, it is also important that this process also occurs to share, integrate and merge data across institutions with that, at first glance, have different goals at first glance. At the moment, though, it is difficult to say that the sharing, integration, and merging of data between institutes with different objectives, or that the exchange of data between integrated systems, isare progressing. Out of 286 measures of Earth observation data acquiredsition measures (including republications), the observation data of 115 measures (including republications) are only registered to the server of the institution that responsible for the acquired itsition. The implementation policy is quoted as “Promote integration of Earth observation data and raise the proportion of accounted for by integrated data to more than 90% of the total”, but in DIAS, out of the 286 measures (including republications), only the metadata of as few as 24 measures and the data of 22 measures have been registered to DIAS. First of all, it is necessary to quickly promote the work of data sharing, which is the initial step of this process, as soon as possible. It is also requiresd ato further  stronger push on endorse the study to establish a cooperative Earth observation center of Water  Sector” and Ecosystem/Biodiversity Ssectors, which will be an indispensable platform for sharing, integrating and merging a diverse range of observation data and information.

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エディテージの英文校正者は、4つの能力評価テストによる厳しい選抜により選ばれた、学術論文校正のプロです。博士号・修士号取得者、医師、 生命科学分野の英文校正の国家資格であるBELS認定取得者、学術論文出版の経験者など、学歴、研究経験または校正能力において優れた者 のみを採用しています。39%のスタッフは実際、校正者になる前に以前研究に携わっていました。その分野の優れた知識と経験、英語力を持ち、 アカデミック・コミュニケーションに情熱を持つ校正スタッフでチーム構成されています。

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