scholarly journals The Research about No-vibration Data Storage of Micro-scale and Long-term Ocean Turbulence Measurement

Author(s):  
Xin LUAN ◽  
Bing XUE ◽  
Feng-mei SUN ◽  
Qi-zhi YAN ◽  
Da-lei SONG
2013 ◽  
Vol 347-350 ◽  
pp. 803-807
Author(s):  
Xin Luan ◽  
Bing Xue ◽  
Feng Mei Sun ◽  
Qi Zhi Yan ◽  
Da Lei Song

Turbulence played an important role in the evolution of the seawater energy and exchange. Multi-scale, long-term, fixed-point and continuous sampling is a new research direction in the turbulence observation. This dissertation designed high-capacity and no-vibration data storage solutions aiming at long-term, continuous turbulence observations. First a multi-scale submerged buoy observing platform is designed. Base on the turbulence observing platform, a multi-parameter data acquisition and no vibrations storage system is designed. This paper describes the hardware and software design implementation of large-capacity data storage arrays in details as well as the readability and easy operation of the transplant of FatFS. Actual test and sea trial prove the design can be achieved large-capacity data access of long-term observation of ocean turbulence base on the submerged buoy.


GigaScience ◽  
2020 ◽  
Vol 9 (10) ◽  
Author(s):  
Daniel Arend ◽  
Patrick König ◽  
Astrid Junker ◽  
Uwe Scholz ◽  
Matthias Lange

Abstract Background The FAIR data principle as a commitment to support long-term research data management is widely accepted in the scientific community. Although the ELIXIR Core Data Resources and other established infrastructures provide comprehensive and long-term stable services and platforms for FAIR data management, a large quantity of research data is still hidden or at risk of getting lost. Currently, high-throughput plant genomics and phenomics technologies are producing research data in abundance, the storage of which is not covered by established core databases. This concerns the data volume, e.g., time series of images or high-resolution hyper-spectral data; the quality of data formatting and annotation, e.g., with regard to structure and annotation specifications of core databases; uncovered data domains; or organizational constraints prohibiting primary data storage outside institional boundaries. Results To share these potentially dark data in a FAIR way and master these challenges the ELIXIR Germany/de.NBI service Plant Genomic and Phenomics Research Data Repository (PGP) implements a “bring the infrastructure to the data” approach, which allows research data to be kept in place and wrapped in a FAIR-aware software infrastructure. This article presents new features of the e!DAL infrastructure software and the PGP repository as a best practice on how to easily set up FAIR-compliant and intuitive research data services. Furthermore, the integration of the ELIXIR Authentication and Authorization Infrastructure (AAI) and data discovery services are introduced as means to lower technical barriers and to increase the visibility of research data. Conclusion The e!DAL software matured to a powerful and FAIR-compliant infrastructure, while keeping the focus on flexible setup and integration into existing infrastructures and into the daily research process.


2016 ◽  
Vol 52 (7) ◽  
pp. 1-4
Author(s):  
Kazutoshi Katayama ◽  
Yuka Chinda ◽  
Osamu Shimizu ◽  
Tatsuo Mikami ◽  
Mayumi Suzuki ◽  
...  

2021 ◽  
Author(s):  
Min Li ◽  
Junbiao Dai ◽  
Qingshan Jiang ◽  
Yang Wang

Abstract Current research on DNA storage usually focuses on the improvement of storage density with reduced gene synthesis cost by developing effective encoding and decoding schemes while lacking the consideration on the uncertainty in ultra long-term data storage and retention. Consequently, the current DNA storage systems are often not self-containment, implying that they have to resort to external tools for the restoration of the stored gene data. This may result in high risks in data loss since the required tools might not be available due to the high uncertainty in far future. To address this issue, we propose in this paper a self-contained DNA storage system that can make self-explanatory to its stored data without relying on any external tools. To this end, we design a specific DNA file format whereby a separate storage scheme is developed to reduce the data redundancy while an effective indexing is designed for random read operations to the stored data file. We verified through experimental data that the proposed self-contained and self-explanatory method can not only get rid of the reliance on external tools for data restoration but also minimize the data redundancy brought about when the amount of data to be stored reaches a certain scale.


2021 ◽  
Vol 1 ◽  
pp. 80
Author(s):  
Thijs Devriendt ◽  
Clemens Ammann ◽  
Folkert W. Asselbergs ◽  
Alexander Bernier ◽  
Rodrigo Costas ◽  
...  

Various data sharing platforms are being developed to enhance the sharing of cohort data by addressing the fragmented state of data storage and access systems. However, policy challenges in several domains remain unresolved. The euCanSHare workshop was organized to identify and discuss these challenges and to set the future research agenda. Concerns over the multiplicity and long-term sustainability of platforms, lack of resources, access of commercial parties to medical data, credit and recognition mechanisms in academia and the organization of data access committees are outlined. Within these areas, solutions need to be devised to ensure an optimal functioning of platforms.


2018 ◽  
Vol 25 (7) ◽  
pp. e2182 ◽  
Author(s):  
Karl O. Gaebler ◽  
Brock D. Hedegaard ◽  
Carol K. Shield ◽  
Lauren E. Linderman

2021 ◽  
Vol 332 ◽  
pp. 113109
Author(s):  
Shasha Yang ◽  
Jinwei Miao ◽  
Ting Lv ◽  
Wenjun Zhang ◽  
Guojun Zhang ◽  
...  

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