The eXtreme-DataCloud project: data management services for the next generation distributed e-infrastructures

Author(s):  
Daniele Cesini ◽  
Alessandro Costantini ◽  
Patrick Fuhrmann ◽  
Fernando Aguilar ◽  
Cristina Duma ◽  
...  
2019 ◽  
Vol 214 ◽  
pp. 04044
Author(s):  
Daniele Cesini ◽  
Giacinto Donvito ◽  
Alessandro Costantini ◽  
Fernando Aguilar Gomez ◽  
Doina Cristina Duma ◽  
...  

The development of data management services capable to cope with very large data resources is a key challenge to allow the future einfrastructures to address the needs of the next generation extreme scale scientific experiments. To face this challenge, in November 2017 the H2020 eXtreme DataCloud - XDC project has been launched. Lasting for 27 months and combining the expertise of eight large European research organisations, the project aims at developing scalable technologies for federating storage resources and managing data in highly distributed computing environments. The targeted platforms are the current and next generation e-Infrastructures deployed in Europe, such as the European Open Science Cloud (EOSC), the European Grid Infrastructure (EGI), and the Worldwide LHC Computing Grid (WLCG). The project is use-case driven with a multidisciplinary approach, addressing requirements from research communities belonging to a wide range of scientific domains: High Energy Physics, Astronomy, Photon and Life Science, Medical research. XDC is aimed at implementing data management scalable services, combining already established data management and orchestration tools, to address the following high level topics: policy driven data management based on Quality-of-Service, Data Life-cycle management, smart placement of data with caching mechanisms to reduce access latency, meta-data with no predefined schema handling, execution of pre-processing applications during ingestion, data management and protection of sensitive data in distributed e-infrastructures, intelligent data placement based on access patterns. This contribution introduces the project, presents the foreseen overall architecture and the developments that are being carried on to implement the requested functionalities.


2012 ◽  
Vol 1 (2) ◽  
pp. 109-114 ◽  
Author(s):  
Joan Starr ◽  
Perry Willett ◽  
Lisa Federer ◽  
Claudia Horning ◽  
Mary Bergstrom

Author(s):  
Chris Clifton ◽  
Irini Fundulaki ◽  
Richard Hull ◽  
Bharat Kumar ◽  
Daniel Lieuwen ◽  
...  

Author(s):  
Josiline Phiri Chigwada

The chapter seeks to analyze how librarians in Zimbabwe are responding to increasing librarian roles in the provision of research data services. The study sought to ascertain librarians' awareness and preparedness to offer research data management services at their institutions and determine support required by librarians to effectively deliver research data services. Participants were invited to respond to the survey, and survey monkey was used to administer the online questionnaire. The collected data was analyzed using content analysis, and it was thematically presented. Findings revealed that librarians in Zimbabwe are aware of their role in research data management, but the majority are not prepared to offer research data management services due to a lack of the required skills and resources. Challenges that were noted include lack of research data management policy at institutional levels and information technology issues such as obsolescence and security issues.


2019 ◽  
Vol 297 ◽  
pp. 02001
Author(s):  
Pavel Vitliemov

Data Management is one of the critical points of the tool industry since all applications are heavily based on the industrial data processing (mould, machine, etc..) as well as the business process that are enabled thanks to such data and their smart interpretation. This paper gives a brief overview of a software architecture for sensor platform for Data Management Services that could be implemented into the European Tool Making Industry.


2019 ◽  
Vol 56 (1) ◽  
pp. 481-485
Author(s):  
Victoria Stodden ◽  
Vicki Ferrini ◽  
Margaret Gabanyi ◽  
Kerstin Lehnert ◽  
John Morton ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document