The Design and Implementation of Documentation Projects for Spoken Languages

2018 ◽  
pp. 146-167 ◽  
Author(s):  
Shobhana Chelliah
Keyword(s):  
Data Management ◽  
Planning Process ◽  
Institutional Support ◽  
Community Member ◽  
Language Documentation ◽  
Design And Implementation

The goal of this chapter is to provide a blueprint for planning a language documentation project. The scope is limited to the documentation of languages with average vitality but the chapter has relevance to other levels of endangerment as well. Language documentation is improved by key partnerships. By seeking out a supportive network of similarly motivated researchers, the language documenter can learn how to sequence and budget for documentation activities and how to plan workflow and data management so that dissemination and archiving goals are met. Implementing a documentation project as a lone academic or community member is possible, but having partners with complementary expertise can lead to the best results. Creating such teams requires funding and infrastructure so seeking out financial and institutional support is also part of the planning process for a documentation project.

scholarly journals A Report of Data-Intensive Capability, Institutional Support, and Data Management Practices in Social Sciences

2016 ◽  
Vol 11 (1) ◽  
pp. 156 ◽  
Author(s):  
Wei Jeng ◽  
Liz Lyon
Keyword(s):  
Social Sciences ◽  
Data Management ◽  
Data Science ◽  
Management Practices ◽  
Information Science ◽  
Institutional Support ◽  
Current Data ◽  
Management Support ◽  
Model Framework ◽  
Data Intensive

We report on a case study which examines the social science community’s capability and institutional support for data management. Fourteen researchers were invited for an in-depth qualitative survey between June 2014 and October 2015. We modify and adopt the Community Capability Model Framework (CCMF) profile tool to ask these scholars to self-assess their current data practices and whether their academic environment provides enough supportive infrastructure for data related activities. The exemplar disciplines in this report include anthropology, political sciences, and library and information science. Our findings deepen our understanding of social disciplines and identify capabilities that are well developed and those that are poorly developed. The participants reported that their institutions have made relatively slow progress on economic supports and data science training courses, but acknowledged that they are well informed and trained for participants’ privacy protection. The result confirms a prior observation from previous literature that social scientists are concerned with ethical perspectives but lack technical training and support. The results also demonstrate intra- and inter-disciplinary commonalities and differences in researcher perceptions of data-intensive capability, and highlight potential opportunities for the development and delivery of new and impactful research data management support services to social sciences researchers and faculty. 

scholarly journals Perancangan Basis Data Improvement Dashboard Application: Studi Kasus pada Padang Karunia Group

2013 ◽  
Vol 4 (2) ◽  
pp. 1352
Author(s):  
Ayuliana Ayuliana ◽  
Nailur Rahma ◽  
Titis Aulia ◽  
Ratri Permatasari
Keyword(s):  
Data Management ◽  
Design Method ◽  
Database Design ◽  
Database Applications ◽  
Web Based ◽  
Design And Implementation ◽  
Physical Database Design ◽  
The Cost ◽  
Data Improvement ◽  
The Web

Padang Karunia Group received a lot of inputs from its employees for improvement collected manually by an administrator. The more input from employees, the more difficult to be collected manually. Therefore Padang Karunia Group took the initiative to create an intranet application to save the inputs in a database. Based on this problem, a research is done to develop database applications in the form of dashboard to collect criticisms and suggestions of employees over the web. This application is expected to assist and facilitate the management of the company, especially in the gathering criticism and suggestions from employees who are then evaluated for company improvement. We uses the database design method based on database application lifecycle, including requirements collection and analysis, conceptual database design, logical database design, DBMS selection, physical database design, and implementation. The results achieved are a database design anda web-based dashboard application that collects criticisms and suggestions. The advantage of using this application is that the company can easily accept criticism and suggestions from employees, simplify storage and data management criticism and suggestions, create reports, and reduce the cost of data collection and the process that was previously done manually. Through the database created, the data management of criticisms and suggestions of employees can be done better.

Sign in / Sign up

Export Citation Format

Share Document