scholarly journals Libraries as Distributors of Geospatial Data: Data Management Policies as Tools for Managing Partnerships

2006 ◽  
Vol 55 (2) ◽  
pp. 264-284 ◽  
Author(s):  
Gail. Steinhart
Keyword(s):  
Data Management ◽  
Geospatial Data ◽  
Management Policies

Data Broadcast Management in Wireless Communication

2012 ◽  
pp. 929-943
Author(s):  
Seema Verma ◽  
Rakhee Kulshrestha ◽  
Savita Kumari
Keyword(s):  
Wireless Communication ◽  
Data Management ◽  
Single Channel ◽  
Data Broadcast ◽  
The Past ◽  
Indexing Techniques ◽  
The Future ◽  
Management Policies ◽  
Work Done ◽  
Unified Index

The data broadcast policies have been developed for single channel and multi channel with various scheduling and indexing techniques. For the data management policies which consider the different broadcast cycles for different broadcast operators, it can be said that traditional types of data management policies are known previously, and the policies of Central Server (CS) and Unified Index Hub (UIH), which consider single broadcast cycle for all operators, are recent. This chapter presents both strategies very simply for better understanding, discusses the work done in the past and present on data broadcast management, along with suggestions for the future possibilities to explore the field.

Web Tools for Geospatial Data Management

2009 ◽  
pp. 793-800
Author(s):  
Petr Horak ◽  
Karel Charvat ◽  
Martin Vlk
Keyword(s):  
Data Management ◽  
Geospatial Data ◽  
Web Tools

scholarly journals Challenges and Practices of Research Data Management in Selected Iraq Universities

2019 ◽  
Vol 39 (06) ◽  
pp. 308-314
Author(s):  
Mahdi Salah Mohammed ◽  
Rafea Ibrahim
Keyword(s):  
Data Management ◽  
Research Data ◽  
Faculty Members ◽  
Data Repositories ◽  
Postgraduate Students ◽  
Research Data Management ◽  
Research Findings ◽  
Management Policies ◽  
Research Organisations

Research emphasises the fundamental role of research data management (RDM) in enhancing academic and scientific research. This paper intended to examine RDM in Iraqi Universities, identify the current challenges of RDM and propose influential RDM practices. Data collection employed a self-administered questionnaires distributed to 155 postgraduate students and 20 faculty members from five universities in Iraq. Research findings revealed that there is a lack of proper RDM. Postgraduate students and researchers were managing their own research data. Main challenges of maintaining a good RDM involve lack of guidelines on effective RDM practices, insufficient of adequate human resources, technological obsolescence, insecure and inefficient infrastructure, lack of financial resources, absence of research data management policies and lack of support by institutional authorities and researchers negatively influenced on research data management. Postgraduate students and researchers recommend building research data repositories and collaboration with other universities and research organisations.

scholarly journals A collective challenge: Open Science from the perspective of Science Europe

2019 ◽  
Vol 72 (2) ◽  
pp. 424-430
Author(s):  
Marie Timmermann
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Open Science ◽  
Research Data ◽  
Major Research ◽  
Research Data Management ◽  
Management Policies ◽  
Good Research ◽  
Quality Of Research

Open Science aims to enhance the quality of research by making research and its outputs openly available, reproducible and accessible. Science Europe, the association of major Research Funding Organisations and Research Performing Organisations, advocates data sharing as one of the core aspects of Open Science and promotes a more harmonised approach to data sharing policies. Good research data management is a prerequisite for Open Science and data management policies should be aligned as much as possible, while taking into account discipline-specific differences. Research data management is a broad and complex field with many actors involved. It needs collective efforts by all actors to work towards aligned policies that foster Open Science.

scholarly journals Assessing SDG indicator 6.4.2 ‘level of water stress’ at major basins level

2021 ◽  
Vol 3 ◽  
Author(s):  
Riccardo Biancalani ◽  
Michela Marinelli
Keyword(s):  
Water Stress ◽  
River Basin ◽  
Geospatial Data ◽  
Balance Model ◽  
Global Information ◽  
National Statistics ◽  
Global Information System ◽  
Major River ◽  
Management Policies ◽  
Definition Of

This paper describes a method to disaggregate indicator 6.4.2 (level of water stress) by major river basins. The analysis was performed using the GlobWat soil water balance model and global geospatial data consistent with national statistics published in AQUASTAT, the FAO’s global information system on water and agriculture. When a river basin spans across more than one country, the water stress calculated by country can be very different from that calculated by the river basin as the counting of the renewable freshwater resources from one country to another is highly dependent on the official agreement and treaties that regulate the flow of those resources between countries. This problem is solved hydrologically once the accounting of the water resources is done on the major river basin as a whole. The disaggregation by the river basin allows the identification of hotspots where actions should be prioritised and reveals that the area affected by a high or critical water stress spans across all continents with the exception of Oceania. It also offers the possibility of an analysis of freshwater withdrawals by sector, which may become crucial for the definition of water management policies in the context of the economic development of a country.

scholarly journals Review of the Research on Scientific Data Management in China Libraries

2018 ◽  
Vol 12 (8) ◽  
pp. 1
Author(s):  
Yan Liu ◽  
Hongwei Yuan ◽  
Song Huang
Keyword(s):  
Data Management ◽  
Scientific Data ◽  
Management Policy ◽  
Management Service ◽  
Humanistic Education ◽  
Policy System ◽  
Scientific Data Management ◽  
Slow Development ◽  
Important Research Topic ◽  
Management Policies

Scientific data management is a hotspot and an important research topic of libraries recently. It’s helpful to grasp the latest developments and directions in this field and provide reference for our library to better carry out scientific data management services. This paper retrieves related papers collected by CNKI. (China Knowledge Resource Integrated Database) From the concept of scientific data management, management policies, service models, new talent needs, data literacy education, obstacles, etc.Analysis and summarize the research results of scientific data management in recent years. Scientific data management has attracted widespread attention from many China Information Sciencescholars. However, the current study still presents obvious deficiencies, slow development of scientific data management service model, lack of scientific data management policy system, introduction of new talent exists only at the theoretical level neglect of data and humanistic education. And put forward some suggestions on promoting the practice of scientific data management in China.

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