Changes

Jump to navigation Jump to search
m
no edit summary
Line 69: Line 69:     
<h1>Discover more about data</h1>
 
<h1>Discover more about data</h1>
 
+
<p style="text-align:right;"><small>Are we missing something? Send us the details: <a href="mailto:gcdc-cdgc@csps-efpc.gc.ca?subject=Data-related Resource">GC Data Community</a></small>
 
<h2>Learning</h2>
 
<h2>Learning</h2>
 
[[Image:Discover-Data-Series-art.png|150px|Discover Data series]]
 
[[Image:Discover-Data-Series-art.png|150px|Discover Data series]]
Line 85: Line 85:  
<h3 style="text-decoration:none;">[https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1140&context=libraryscience Introduction to Online Ecological and Environmental Data]</h3>
 
<h3 style="text-decoration:none;">[https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1140&context=libraryscience Introduction to Online Ecological and Environmental Data]</h3>
 
<p class="author">by Virginia A Baldwin </p>
 
<p class="author">by Virginia A Baldwin </p>
<p>The advent of the Internet and proliferation of materials on it has brought significant and rapid change in scholarly communication. Perhaps more gradually has come the posting of research data for sharing with other researchers in the field. This volume describes several projects that have made environmental and ecological researchers' data freely available online. Librarians from the National Aeronautics and Space Administration (NASA), the United States Geological Survey (USGS), from one regional agency based in Oregon, one university, and one research corporation describe aspects of the online data projects developed by their respective institutions. A sixth paper, from a librarian at State University of New York University at Buffalo, follows the development of online research data in a specific field, acid rain research, from a variety of types of research programs. A common theme in these papers is the interdisciplinary involvement of researchers who produce and use data in the fields of environmental and ecological studies.</p>
+
<p>(English) The advent of the Internet and proliferation of materials on it has brought significant and rapid change in scholarly communication. Perhaps more gradually has come the posting of research data for sharing with other researchers in the field. This volume describes several projects that have made environmental and ecological researchers' data freely available online. Librarians from the National Aeronautics and Space Administration (NASA), the United States Geological Survey (USGS), from one regional agency based in Oregon, one university, and one research corporation describe aspects of the online data projects developed by their respective institutions. A sixth paper, from a librarian at State University of New York University at Buffalo, follows the development of online research data in a specific field, acid rain research, from a variety of types of research programs. A common theme in these papers is the interdisciplinary involvement of researchers who produce and use data in the fields of environmental and ecological studies.</p>
 
<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>
 
<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>
 
<br>
 
<br>
Line 92: Line 92:  
<h3 style="text-decoration:none;">Federal data science: transforming government and agricultural policy using artificial intelligence</h3>
 
<h3 style="text-decoration:none;">Federal data science: transforming government and agricultural policy using artificial intelligence</h3>
 
<p class="author">by Feras A Batarseh and Ruixin Yang</p>
 
<p class="author">by Feras A Batarseh and Ruixin Yang</p>
<p>Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to governmental processes. Driven by open government (2009) and big data (2012) initiatives, federal agencies have a serious need to implement intelligent data management methods, share their data, and deploy advanced analytics to their processes. Using federal data for reactive decision making is not sufficient anymore, intelligent data systems allow for proactive activities that lead to benefits such as: improved citizen services, higher accountability, reduced delivery inefficiencies, lower costs, enhanced national insights, and better policy making. No other government-dedicated work has been found in literature that addresses this broad topic. This book provides multiple use-cases, describes federal data science benefits, and fills the gap in this critical and timely area.</p>
+
<p>(English) Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to governmental processes. Driven by open government (2009) and big data (2012) initiatives, federal agencies have a serious need to implement intelligent data management methods, share their data, and deploy advanced analytics to their processes. Using federal data for reactive decision making is not sufficient anymore, intelligent data systems allow for proactive activities that lead to benefits such as: improved citizen services, higher accountability, reduced delivery inefficiencies, lower costs, enhanced national insights, and better policy making. No other government-dedicated work has been found in literature that addresses this broad topic. This book provides multiple use-cases, describes federal data science benefits, and fills the gap in this critical and timely area.</p>
 
<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>
 
<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>
 
<br>
 
<br>
2,600

edits

Navigation menu

GCwiki