scholarly journals The Research Data Center (RDC) of the German Socio-Economic Panel (SOEP)

2010 ◽  
Vol 130 (3) ◽  
pp. 393-401 ◽  
Author(s):  
Joachim R. Frick ◽  
Jan Goebel ◽  
Michaela Engelmann ◽  
Uta Rahmann
Keyword(s):  
Data Center ◽  
Research Data

The Research Data Center Ruhr at the RWI (FDZ Ruhr im RWI)

2013 ◽  
Vol 133 (3) ◽  
pp. 439-448
Author(s):  
Thomas Bauer, ◽  
Rüdiger Budde, ◽  
Sandra Schaffner
Keyword(s):  
Data Center ◽  
Research Data

Load Capacity and Thermal Efficiency Optimization of a Research Data Center Using Computational Modeling

2015 ◽  
Author(s):  
Joseph R. H. Schaadt ◽  
Kamran Fouladi ◽  
Aaron P. Wemhoff ◽  
Joseph G. Pigeon
Keyword(s):  
Flow Rate ◽  
Data Center ◽  
Air Conditioning ◽  
Data Centers ◽  
Load Capacity ◽  
Research Data ◽  
Optimal Operating ◽  
Cold Aisle Containment ◽  
Operating Points ◽  
The Ideal

Data centers are most commonly cooled by air delivered to electronic equipment from centralized cooling systems. The research presented here is motivated by the need for strategies to improve and optimize the load capacity and thermal efficiency of data centers by using computational fluid dynamics (CFD). Here, CFD is used to model and optimize the Villanova Steel Orca Research Center (VSORC). VSORC, presently in the design stages, will provide a testing environment as well as the capability to investigate best practices and state of the art strategies including hybrid cooling, IT load distribution, density zones, and hot aisle and cold aisle containment. The results of this study will be used in the overall design and construction of the aforementioned research data center. The objective of this study is to find the optimal operating points and design layout of a data center while still meeting certain design constraints. A focus is on finding both the ideal total supply flow rate of the air conditioning units and the ideal chilled water supply temperature (CHWST) setpoint under different data center design configurations and load capacities. The total supply flow rate of the air conditioning units and the supply temperature setpoint of the chilled water system are varied as design parameters in order to systematically determine the optimal operating points. The study also examines the influence of hot aisle and cold aisle containment strategies in full containment, half containment, and no containment configurations on the determined optimal operating conditions for the modeled research data center.

scholarly journals The Research Data Center PIAAC at GESIS

2016 ◽  
Vol 236 (5) ◽  
Author(s):  
Anja Perry ◽  
Beatrice Rammstedt
Keyword(s):  
Data Center ◽  
Research Data

scholarly journals Legal Approaches for Open Access to Research Data

2018 ◽  
Author(s):  
Catherine Doldirina ◽  
Anita Eisenstadt ◽  
Harlan Onsrud ◽  
Paul Uhlir
Keyword(s):  
Public Interest ◽  
Data Center ◽  
Research Data ◽  
Legal Counsel ◽  
University Administrators ◽  
Policy Makers ◽  
Technical Data ◽  
Use Of Data ◽  
Collective Experience ◽  
Interest Organizations

Collective experience across the globe shows that the open use and sharing of scientific and technical data accelerate scientific discoveries and stimulate economic growth. The overall goal of this article is to review and assess legal mechanisms to facilitate the open sharing and use of data in support of achieving public-interest societal objectives. The article concludes with a set of action recommendations for policy makers, publishers, librarians, data center managers, university administrators, public interest organizations, and individual researchers, as well as their legal counsel.

scholarly journals NRDC Data Visualization Web Suite

10.29007/rkqh ◽  
2020 ◽  
Author(s):  
Andrew Muñoz ◽  
Frederick Harris ◽  
Sergiu Dascalu
Keyword(s):  
Data Management ◽  
Data Visualization ◽  
Data Center ◽  
Web Application ◽  
Web Applications ◽  
Research Data ◽  
The State ◽  
Environmental Data ◽  
High Rate ◽  
Research Data Management

The Nevada Research Data Center (NRDC) is a research data management center that collects sensor-based data from various locations throughout the state of Nevada. The measurements collected are specifically environmental data, which are used in cross-disciplinary research across different facilities. Since data is being collected at a high rate, it is necessary to be able to visualize the data quickly and efficiently. This paper discusses in detail a web application that can be used by researchers to make visualizations that can help in data comparisons. While there exist other web applications that allows researchers to visualize the data, this project expands on that idea by allowing researchers the ability to not only visualize the data but also make comparisons and predictions.

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