Results 171 to 180 of about 25,224,541 (228)

Data rescue

ACM SIGCAS Computers and Society, 2017
In this article, Nancy Y. McGovern, Head of Digital Preservation for the MIT Libraries, discusses data rescue in the context of digital preservation, archival practice, and public policy.
Nancy Y. McGovern
openaire   +2 more sources

Data rescue archive weather (DRAW)

Journal of Documentation, 2018
Purpose To rescue at-risk historical scientific data stored at the McGill Observatory, the objectives of the Data Rescue Archive Weather (DRAW) project are: to build a repository; to develop a protocol to preserve the data in weather registers; and to make the data available to research communities and the public.
Eun G. Park   +4 more
openaire   +2 more sources

Data Rescue at a Scientific Data Center

2015
Data rescue offers value for science and the communities of current and future researchers who will have the opportunity to use scientific data that have been rescued. The value of rescuing scientific data is described and some examples of data rescue efforts by the Earth science community are reviewed.
R. Downs
openaire   +2 more sources

GloSAT Historical Measurement Table Dataset: Enhanced Table Structure Recognition Annotation for Downstream Historical Data Rescue

HIP@ICDAR, 2021
Understanding and extracting tables from documents is a research problem that has been studied for decades. Table structure recognition is the labelling of components within a detected table, which can be detected automatically or manually provided. This
Juliusz Ziomek, S. Middleton
semanticscholar   +1 more source

Data rescue in manuscripts: a hydrological modelling study example

Hydrological Sciences Journal, 2020
Recently, data statements have been required in hydrological manuscripts. Authors are usually confused by different data management policies. Thus, a frequent response is to write down “data available upon request from the corresponding author”.
Xuan Yu   +7 more
semanticscholar   +1 more source

Rescuing Data Center Processors

2023
Data center applications consume the majority of today's compute cycles. As current computer systems---computer architecture, compilers, and operating systems---are inefficient for data center applications, this dissertation focuses on redesigning the computer system to enable efficient data center processing.
openaire   +2 more sources

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