scholarly journals Big Data "Kill Cooked" Management Policy Tool Selection

2018 ◽  
Author(s):  
Yuxia Zhang ◽  
Xiaofang Wang
Keyword(s):  
Big Data ◽  
Management Policy ◽  
Tool Selection ◽  
Policy Tool

Agroforestry in Europe: A land management policy tool to combat climate change

2018 ◽  
Vol 78 ◽  
pp. 603-613 ◽  
Author(s):  
M.R. Mosquera-Losada ◽  
J.J. Santiago-Freijanes ◽  
M. Rois-Díaz ◽  
G. Moreno ◽  
M. den Herder ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Management ◽  
Management Policy ◽  
Policy Tool ◽  
Combat Climate Change ◽  
Land Management Policy

Big data adoption in academic libraries: a literature review

2020 ◽  
Vol 37 (4) ◽  
pp. 1-5
Author(s):  
Nove E. Variant Anna ◽  
Endang Fitriyah Mannan
Keyword(s):  
Big Data ◽  
Data Management ◽  
Academic Libraries ◽  
Data Analytics ◽  
Academic Library ◽  
Big Data Analytics ◽  
Research Data ◽  
Management Policy ◽  
Content Type ◽  
Scopus Database

Purpose The purpose of this paper is to analyse the publication of big data in the library from Scopus database by looking at the writing time period of the papers, author's country, the most frequently occurring keywords, the article theme, the journal publisher and the group of keywords in the big data article. The methodology used in this study is a quantitative approach by extracting data from Scopus database publications with the keywords “big data” and “library” in May 2019. The collected data was analysed using Voxviewer software to show the keywords or terms. The results of the study stated that articles on big data have appeared since 2012 and are increasing in number every year. The big data authors are mostly from China and America. Keywords that often appear are based on the results of terminology visualization are including, “big data”, “libraries”, “library”, “data handling”, “data mining”, “university libraries”, “digital libraries”, “academic libraries”, “big data applications” and “data management”. It can be concluded that the number of publications related to big data in the library is still small; there are still many gaps that need to be researched on the topic. The results of the research can be used by libraries in using big data for the development of library innovation. Design/methodology/approach The Scopus database was accessed on 24 May 2019 by using the keyword “big data” and “library” in the search box. The authors only include papers, which title contain of big data in library. There were 74 papers, however, 1 article was dropped because of it not meeting the criteria (affiliation and abstract were not available). The papers consist of journal articles, conference papers, book chapters, editorial and review. Then the data were extracted into excel and analysed as follows (by the year, by the author/s’s country, by the theme and by the publisher). Following that the collected data were analysed using VOX viewer software to see the relationship between big data terminology and library, terminology clustering, keywords that often appear, countries that publish big data, number of big data authors, year of publication and name of journals that publish big data and library articles (Alagu and Thanuskodi, 2019). Findings It can be concluded that the implementation of big data in libraries is still in an early stage, it is shown from the limited number of practical implementation of big data analytics in library. Not many libraries that use big data to support innovation and services since there were lack of librarian skills of big data analytics. The library manager’s view of big data is still not necessary to do. It is suggested for academic libraries to start their adoption of big data analytics to support library services especially research data. To do so, librarians can enhance their skills and knowledge by following some training in big data analytics or research data management. The information technology infrastructure also needs to be upgraded since big data need big IT capacity. Finally, the big data management policy should be made to ensure the implementation goes well. Originality/value This paper discovers the adoption and implementation of big data in library, many papers talk big data in business and technology context. This is offering new idea for many libraries especially academic library about the adoption of big data to support their services. They can adopt the big data analytics technology and technique that suitable for their library.

scholarly journals A new wave of marine evidence-based management: emerging challenges and solutions to transform monitoring, evaluating, and reporting

2017 ◽  
Vol 75 (3) ◽  
pp. 941-952 ◽  
Author(s):  
P F E Addison ◽  
D J Collins ◽  
R Trebilco ◽  
S Howe ◽  
N Bax ◽  
...  
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Management Policy ◽  
Evidence Based ◽  
New Wave ◽  
Multiple Sources ◽  
Rigorous Evaluation ◽  
Marine Management ◽  
Science Management ◽  
Management And Conservation

Abstract Sustainable management and conservation of the world’s oceans requires effective monitoring, evaluation, and reporting (MER). Despite the growing political and social imperative for these activities, there are some persistent and emerging challenges that marine practitioners face in undertaking these activities. In 2015, a diverse group of marine practitioners came together to discuss the emerging challenges associated with marine MER, and potential solutions to address these challenges. Three emerging challenges were identified: (i) the need to incorporate environmental, social and economic dimensions in evaluation and reporting; (ii) the implications of big data, creating challenges in data management and interpretation; and (iii) dealing with uncertainty throughout MER activities. We point to key solutions to address these challenges across MER activities: (i) integrating models into marine management systems to help understand, interpret, and manage the environmental and socio-economic dimensions of uncertain and complex marine systems; (ii) utilizing big data sources and new technologies to collect, process, store, and analyze data; and (iii) applying approaches to evaluate, account for, and report on the multiple sources and types of uncertainty. These solutions point towards a potential for a new wave of evidence-based marine management, through more innovative monitoring, rigorous evaluation and transparent reporting. Effective collaboration and institutional support across the science–management–policy interface will be crucial to deal with emerging challenges, and implement the tools and approaches embedded within these solutions.

scholarly journals A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development

2020 ◽  
Vol 10 (1) ◽  
pp. 13
Author(s):  
Anqi Wang ◽  
Anshu Zhang ◽  
Edwin H. W. Chan ◽  
Wenzhong Shi ◽  
Xiaolin Zhou ◽  
...  
Keyword(s):  
Big Data ◽  
Hong Kong ◽  
Smart City ◽  
Data Analytics ◽  
Human Mobility ◽  
Management Policy ◽  
Urban Systems ◽  
City Management ◽  
City Development ◽  
Quality Of Data

Along with the increase of big data and the advancement of technologies, comprehensive data-driven knowledge of urban systems is becoming more attainable, yet the connection between big-data research and its application e.g., in smart city development, is not clearly articulated. Focusing on Human Mobility, one of the most frequently investigated applications of big data analytics, a framework for linking international academic research and city-level management policy was established and applied to the case of Hong Kong. Literature regarding human mobility research using big data are reviewed. These studies contribute to (1) discovering the spatial-temporal phenomenon, (2) identifying the difference in human behaviour or spatial attributes, (3) explaining the dynamic of mobility, and (4) applying to city management. Then, the application of the research to smart city development are scrutinised based on email queries to various governmental departments in Hong Kong. The identified challenges include data isolation, data unavailability, gaming between costs and quality of data, limited knowledge derived from rich data, as well as estrangement between public and private sectors. With further improvement in the practical value of data analytics and the utilization of data sourced from multiple sectors, paths to achieve smarter cities from policymaking perspectives are highlighted.

Optimization of the tool selection based on big data

2016 ◽  
Vol 20 (1) ◽  
pp. 341-360 ◽  
Author(s):  
Chao-Yu Wang ◽  
Wu Zhao ◽  
Qiao Liu ◽  
Hua-Wei Chen
Keyword(s):  
Big Data ◽  
Tool Selection

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

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