NIST · ИТ · 43124609bea2a7ec5f7d
An Infrastructure for Curating, Querying, and Augmenting Document Data: COVID-19 Case Study
With the advent of the COVID-19 pandemic, there was the hope that data science approaches could help discover means for understanding, mitigating, and treating the disease. This manifested itself in the creation of the COVID-19 Open Research Dataset (CORD
NIST · ИТОфициальный источник · 2023-08-08
{
"title_en": "An Infrastructure for Curating, Querying, and Augmenting Document Data: COVID-19 Case Study",
"designation": "",
"series": "",
"status": "",
"date": "2023-08-08",
"date_original": "August 8, 2023",
"url": "https://www.nist.gov/publications/infrastructure-curating-querying-and-augmenting-document-data-covid-19-case-study",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Eswaran Subrahmanian , Guillaume Sousa Amaral , Talapady N. Bhat , Mary C. Brady , Kevin G. Brady , Jacob Collard , Sarra Chouder , Philippe Dessauw , Alden A. Dima , John T. Elliott , Walid Keyrouz , Nicolas Lelouche , Benjamin Long , Rachael Sexton , Ram D. Sriram",
"abstract_excerpt_en": "With the advent of the COVID-19 pandemic, there was the hope that data science approaches could help discover means for understanding, mitigating, and treating the disease. This manifested itself in the creation of the COVID-19 Open Research Dataset (CORD",
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"title_en": "An Infrastructure for Curating, Querying, and Augmenting Document Data: COVID-19 Case Study",
"designation": "",
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"date": "2023-08-08",
"date_original": "August 8, 2023",
"url": "https://www.nist.gov/publications/infrastructure-curating-querying-and-augmenting-document-data-covid-19-case-study",
"source": "NIST Publications",
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"authors_en": "Eswaran Subrahmanian , Guillaume Sousa Amaral , Talapady N. Bhat , Mary C. Brady , Kevin G. Brady , Jacob Collard , Sarra Chouder , Philippe Dessauw , Alden A. Dima , John T. Elliott , Walid Keyrouz , Nicolas Lelouche , Benjamin Long , Rachael Sexton , Ram D. Sriram",
"abstract_excerpt_en": "With the advent of the COVID-19 pandemic, there was the hope that data science approaches could help discover means for understanding, mitigating, and treating the disease. This manifested itself in the creation of the COVID-19 Open Research Dataset (CORD"
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