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期刊名:Data science journal

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ISSN:1683-1470

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IF/分区:0.0/

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共收录本刊相关文章索引6
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Raymond L Plante,Chandler A Becker,Andrea Medina-Smith et al. Raymond L Plante et al.
As a result of a number of national initiatives, we are seeing rapid growth in the data important to materials science that are available over the web. Consequently, it is becoming increasingly difficult for researchers to learn what data a...
Stephanie Russo Carroll,Desi Rodriguez-Lonebear,Andrew Martinez Stephanie Russo Carroll
Data have become the new global currency, and a powerful force in making decisions and wielding power. As the world engages with open data, big data reuse, and data linkage, what do data-driven futures look like for communities plagued by d...
Ge Peng,Jeffrey L Privette,Curt Tilmes et al. Ge Peng et al.
Scientific data stewardship is an important part of long-term preservation and the use/reuse of digital research data. It is critical for ensuring trustworthiness of data, products, and services, which is important for decision-making. Rece...
Lalit Wanchoo,Nathan James,Hampapuram K Ramapriyan Lalit Wanchoo
NASA's Earth Science Data and Information System (ESDIS) Project began investigating the use of Digital Object Identifiers (DOIs) in 2010 with the goal of assigning DOIs to various data products. These Earth science research data products p...
Gretchen Greene,Raymond Plante,Robert Hanisch Gretchen Greene
As a National Metrology Institute (NMI), the USA National Institute of Standards and Technology (NIST) scientists, engineers and technology experts conduct research across a full spectrum of physical science domains. NIST is a non-regulator...
Jeremy York,Myron Gutmann,Francine Berman Jeremy York
In the 21st century, digital data drive innovation and decision-making in nearly every field. However, little is known about the total size, characteristics, and sustainability of these data. In the scholarly sphere, it is widely suspected ...