Results 41 to 50 of about 10,184,633 (357)
Data management: Managing data as an organisational resource
Managing data as a resource is an important function of information management. Accurate and relevant data is the source of valuable information. By managing data efficiently, sound management decisions can be made. The traditional file environment is not appropriate for managing data; database management systems are the most popular choice for ...
openaire +3 more sources
Research data management [PDF]
Management of research data is a service area of increasing interest to libraries. Librarians have begun to provide a range of services in this area and now teach data management to researchers, work with individual researchers to improve their data management practices, create data management subject guides, and assist in supporting funding agency and
Alisa Surkis, Kevin Read
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Redundant data management system [PDF]
Redundant data management system solves problem of operating redundant equipment in real time environment where failures are detected, isolated, and switched in simple manner.
Hall, J. R.
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University of Strathclyde Research Publications Guidance [PDF]
The University of Strathclyde’s Vision 2025 strategy (2020-2025) sets out expectations for the future citation impact of Strathclyde research, as well as Strathclyde’s ambition towards ‘fully open access publishing’ and FAIR open data.
Digital Research Asset Management Group +1 more
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occumb: An R package for site occupancy modeling of eDNA metabarcoding data
This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley +1 more source
No abstracts are to be cited without prior reference to the author.We consider a management that aims at controlling the removal from the stock, guided by a perception of the state of the stock derived from limited data that does not allow an ordinary analytic assessment.
Skagen, Dankert W., Dankel, Dorothy Jane
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Abstract Chapter 3 discusses methods to manage data in our quest to exploit data parallelism for performance gains. It introduces Unified Shared Memory (USM) and the higher-level buffer abstraction and explores when to use each method to manage the data in our accelerated programs.
James Reinders +5 more
openaire +1 more source
Exploring sensor data management [PDF]
The increasing availability of cheap, small, low-power sensor hardware and the ubiquity of wired and wireless networks has led to the prediction that `smart evironments' will emerge in the near future.
Evers, Sander
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We investigate the seasonal dynamics of two freshwater snails, Biomphalaria straminea and Melanoides tuberculata, in artificial reservoirs of the Brazilian semiarid region. Despite regulated hydrology, B. straminea exhibited strong seasonal fluctuations associated with dry periods, while M. tuberculata maintained stable populations throughout the year,
Lucas Henrique Sousa da Silva +6 more
wiley +1 more source
Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines
Artificial Intelligence (AI) systems can introduce biases that lead to unreliable outcomes and, in the worst-case scenarios, perpetuate systemic and discriminatory results when deployed in the real world.
Mayra Russo +4 more
doaj +1 more source

