scholarly journals Challenges and opportunities for data management and collaborative analysis in shared electron microscopy facilities

2021 ◽  
Vol 27 (S1) ◽  
pp. 1082-1083
Author(s):  
Joshua Sugar
Author(s):  
Kyuseok Shim ◽  
Sang Kyun Cha ◽  
Lei Chen ◽  
Wook-Shin Han ◽  
Divesh Srivastava ◽  
...  

2012 ◽  
Vol 4 (6) ◽  
pp. 1-138 ◽  
Author(s):  
Divyakant Agrawal ◽  
Sudipto Das ◽  
Amr El Abbadi

2020 ◽  
Author(s):  
Shawn Averkamp ◽  
Xiaomei Gu ◽  
Ben Rogers

<p>This data management report was commissioned by the University of Iowa Libraries with the intention of performing a survey of the campus landscape and identifying gaps in data management services. The first stage of data collection consisted of a survey conducted during summer 2012 to which 784 responses were received. The second phase of data collection consisted of approximately 40 in-depth interviews with individuals from the campus and were completed during summer 2013. Findings are presented as challenges and opportunities within five broad areas of data management: data management planning, data storage, data organization and analysis, data publishing and dissemination and sensitive data and compliance, with additional findings reported in the areas of research culture and funding models.</p>


2004 ◽  
Vol 10 (1) ◽  
pp. 55-76 ◽  
Author(s):  
Jingyue Liu

Heterogeneous catalysis is one of the oldest nanosciences. Although model catalysts can be designed, synthesized, and, to a certain degree, characterized, industrial heterogeneous catalysts are often chemically and physically complex systems that have been developed through many years of catalytic art, technology, and science. The preparation of commercial catalysts is generally not well controlled and is often based on accumulated experiences. Catalyst characterization is thus critical to developing new catalysts with better activity, selectivity, and/or stability. Advanced electron microscopy, among many characterization techniques, can provide useful information for the fundamental understanding of heterogeneous catalysis and for guiding the development of industrial catalysts. In this article, we discuss the recent developments in applying advanced electron microscopy techniques to characterizing model and industrial heterogeneous catalysts. The importance of understanding the catalyst nanostructure and the challenges and opportunities of advanced electron microscopy in developing nanostructured catalysts are also discussed.


2020 ◽  
Vol 2 ◽  
Author(s):  
Zexiang Han ◽  
Alexandra E. Porter

In situ imaging for direct visualization is important for physical and biological sciences. Research endeavors into elucidating dynamic biological and nanoscale phenomena frequently necessitate in situ and time-resolved imaging. In situ liquid cell electron microscopy (LC-EM) can overcome certain limitations of conventional electron microscopies and offer great promise. This review aims to examine the status-quo and practical challenges of in situ LC-EM and its applications, and to offer insights into a novel correlative technique termed microfluidic liquid cell electron microscopy. We conclude by suggesting a few research ideas adopting microfluidic LC-EM for in situ imaging of biological and nanoscale systems.


Author(s):  
Pankaj Lathar ◽  
K. G. Srinivasa ◽  
Abhishek Kumar ◽  
Nabeel Siddiqui

Advancements in web-based technology and the proliferation of sensors and mobile devices interacting with the internet have resulted in immense data management requirements. These data management activities include storage, processing, demand of high-performance read-write operations of big data. Large-scale and high-concurrency applications like SNS and search engines have appeared to be facing challenges in using the relational database to store and query dynamic user data. NoSQL and cloud computing has emerged as a paradigm that could meet these requirements. The available diversity of existing NoSQL and cloud computing solutions make it difficult to comprehend the domain and choose an appropriate solution for a specific business task. Therefore, this chapter reviews NoSQL and cloud-system-based solutions with the goal of providing a perspective in the field of data storage technology/algorithms, leveraging guidance to researchers and practitioners to select the best-fit data store, and identifying challenges and opportunities of the paradigm.


Big Data ◽  
2016 ◽  
pp. 2074-2097 ◽  
Author(s):  
Jaroslav Pokorny ◽  
Bela Stantic

The development and extensive use of highly distributed and scalable systems to process Big Data have been widely considered. New data management architectures, e.g. distributed file systems and NoSQL databases, are used in this context. However, features of Big Data like their complexity and data analytics demands indicate that these concepts solve Big Data problems only partially. A development of so called NewSQL databases is highly relevant and even special category of Big Data Management Systems is considered. In this work we will discuss these trends and evaluate some current approaches to Big Data processing, identify the current challenges, and suggest possible research directions.


Author(s):  
Lettie Y. Conrad

For reference publishing, recent revolutions in digital communications undermine the success of traditional methods of information delivery and retrieval. The need to present online reference material for easy discoverability presents challenges and opportunities for technological advancement – for data management and website design. Equally, reference discoverability demands that we foster a greater understanding of what today’s researchers need, and incorporate that knowledge into modern publishing tactics.


2018 ◽  
Vol 11 (4) ◽  
pp. 1-6 ◽  
Author(s):  
Zulkefli Muhammad Hanapiyah ◽  
Wan Noordiana Wan Hanafi ◽  
Salina Daud ◽  
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