Big Data in Land Records Management in Kenya: A Fit and Viability Analysis

Author(s):  
Tom Kwanya
Atlanti ◽  
2016 ◽  
Vol 26 (2) ◽  
pp. 153-160
Author(s):  
Peter J. Scheibner

The Rockland County Clerk offers on-line land records searches from the ease of your home computer 24/7. This is a major improvement over searching records through index books manually or having to sift through rolls of microfilm or hard copy deeds or mortgages. We are excited to report that thanks to grants received from the New York State Archive Local Government Records Management Improvement Fund, all Rockland County deeds and mortgages from 1798 to 1929 can now be searched and printed from your home computer by logging on to www.rocklandcountyclerk.com. Through innovative software known as On Line Books (OIB) developed by Cott Systems, Inc., Rockland County was able to save major time and resources on not having to dataenter all index books from 1798-1929 and then matching these indexes with the hundreds of thousands of actual deeds and mortgage pages. The software is both unique and innovative. You will find the details of using OIB in this issue.


Big Data ◽  
2016 ◽  
pp. 2249-2274
Author(s):  
Chinh Nguyen ◽  
Rosemary Stockdale ◽  
Helana Scheepers ◽  
Jason Sargent

The rapid development of technology and interactive nature of Government 2.0 (Gov 2.0) is generating large data sets for Government, resulting in a struggle to control, manage, and extract the right information. Therefore, research into these large data sets (termed Big Data) has become necessary. Governments are now spending significant finances on storing and processing vast amounts of information because of the huge proliferation and complexity of Big Data and a lack of effective records management. On the other hand, there is a method called Electronic Records Management (ERM), for controlling and governing the important data of an organisation. This paper investigates the challenges identified from reviewing the literature for Gov 2.0, Big Data, and ERM in order to develop a better understanding of the application of ERM to Big Data to extract useable information in the context of Gov 2.0. The paper suggests that a key building block in providing useable information to stakeholders could potentially be ERM with its well established governance policies. A framework is constructed to illustrate how ERM can play a role in the context of Gov 2.0. Future research is necessary to address the specific constraints and expectations placed on governments in terms of data retention and use.


Author(s):  
Adeyinka Tella ◽  
Oluwakemi Titilola Olaniyi ◽  
Aderinola Ololade Dunmade

The chapter looked at records management in the fourth industrial revolution (4IR) with the challenges and the way forward. The chapter discussed the industrial revolutions, records management, and the fourth industrial revolution (4IR), and described the advancement in records management in the 4IR based on the 4IR tools and technologies including artificial intelligence, blockchain, internet of things (IoT), robotics, and big data. The chapter also identified and discussed the benefits of technological advancement in the management of records; challenges of records management at the wake of 4IR and charted the way forward. In the context of document and records management, and taking into account all characteristics of the 4IR technologies and tools as well as its underlying technologies and concepts, the chapter concluded that the 4IR tools can be used to save time to create and process records, secure records from being damaged or destroyed, confirm the integrity of records, among others.


Author(s):  
Christine Rigda

The fourth industrial revolution has created many challenges for records and information management. This chapter provides an overview of the field of records management and describes the fourth industrial revolution and its impact. Further, it identifies several challenges to the profession of records manager, such as the effect of cloud computing, big data, mobile devices, and financial and ethical concerns. The author investigates how records managers can keep up to date with the changes in their profession by training and continuing education opportunities. Finally, the author discusses some possible solutions to the many challenges records managers face so that they can do their jobs effectively.


2014 ◽  
Vol 24 (2) ◽  
pp. 122-141 ◽  
Author(s):  
Victoria Louise Lemieux ◽  
Brianna Gormly ◽  
Lyse Rowledge

Purpose – This paper aims to explore the role of records management in supporting the effective use of information visualisation and visual analytics (VA) to meet the challenges associated with the analysis of Big Data. Design/methodology/approach – This exploratory research entailed conducting and analysing interviews with a convenience sample of visual analysts and VA tool developers, affiliated with a major VA institute, to gain a deeper understanding of data-related issues that constrain or prevent effective visual analysis of large data sets or the use of VA tools, and analysing key emergent themes related to data challenges to map them to records management controls that may be used to address them. Findings – The authors identify key data-related issues that constrain or prevent effective visual analysis of large data sets or the use of VA tools, and identify records management controls that may be used to address these data-related issues. Originality/value – This paper discusses a relatively new field, VA, which has emerged in response to meeting the challenge of analysing big, open data. It contributes a small exploratory research study aimed at helping records professionals understand the data challenges faced by visual analysts and, by extension, data scientists for the analysis of large and heterogeneous data sets. It further aims to help records professionals identify how records management controls may be used to address data issues in the context of VA.


2014 ◽  
Vol 10 (4) ◽  
pp. 94-116 ◽  
Author(s):  
Chinh Nguyen ◽  
Rosemary Stockdale ◽  
Helana Scheepers ◽  
Jason Sargent

The rapid development of technology and interactive nature of Government 2.0 (Gov 2.0) is generating large data sets for Government, resulting in a struggle to control, manage, and extract the right information. Therefore, research into these large data sets (termed Big Data) has become necessary. Governments are now spending significant finances on storing and processing vast amounts of information because of the huge proliferation and complexity of Big Data and a lack of effective records management. On the other hand, there is a method called Electronic Records Management (ERM), for controlling and governing the important data of an organisation. This paper investigates the challenges identified from reviewing the literature for Gov 2.0, Big Data, and ERM in order to develop a better understanding of the application of ERM to Big Data to extract useable information in the context of Gov 2.0. The paper suggests that a key building block in providing useable information to stakeholders could potentially be ERM with its well established governance policies. A framework is constructed to illustrate how ERM can play a role in the context of Gov 2.0. Future research is necessary to address the specific constraints and expectations placed on governments in terms of data retention and use.


1981 ◽  
Vol 35 (1) ◽  
pp. 89-92
Author(s):  
Willis F. Roberts

The land surveying profession has undergone a number of upheavals during the last 100 years. The first of these was caused by the migration to Western Canada and the building of the railroads; the second by the movement to the cities and the improvement of highways; the third by the development of the north and the technological revolution in survey methods. The profession has been successful in surviving these changes because of its careful watch on developments in its field. Nevertheless, the present influenciaI position of surveyors will be maintained only if they remain alert to the advantages of the new technology, principally in the fields of data processing and land records management.


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