Survey Research Data Archive: Current Status and Challenges
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The document summarizes the current status and challenges of the Survey Research Data Archive (SRDA) in Taiwan. It describes the SRDA's major activities like appending panel data, creating quasi-longitudinal data, and providing search tools on its website. It also outlines some of the SRDA's challenges related to government regulations, unequal access to data, and facilitating international collaboration.
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Data Sharing & Data Citation
Prepared for data coding, analysis, archiving, and sharing for open collaboration; National Science Foundation, Sept 15-16, 2011
UNIT_1-BD.pptx
This document provides an introduction to big data, including definitions, types of data, sources of data, and characteristics of big data. It discusses the evolution of big data from structured to unstructured data. The key aspects covered are the three V's of big data (volume, velocity, variety), challenges of working with big data, and how big data environments differ from traditional data warehouse environments in terms of data storage and processing. The document serves as the first unit in a course on big data analysis.
Data management plans
Brad Houston presented information on data management plans (DMPs) required by the National Science Foundation (NSF) for grant proposals. He explained that DMPs must describe the data to be collected or generated, how it will be organized and formatted, and how it will be preserved and shared. He emphasized using open standards and preparing metadata to help others understand and find the data. Researchers were advised to consider long-term preservation and to partner with libraries or repositories to ensure access over time. Contact information was provided for those needing assistance developing their DMP.
Building and providing data management services a framework for everyone!
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Ben Shneiderman: Thrill of Discovery
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http://hcid.soi.cty.ac.uk/
Tennessee Higher Education and the Use of Decision Support Systems in Strate...
Business Intelligence products and processes have helped public and private organization to identify opportunities and trends that are both internal and external. For years the concepts of Business Intelligence, data mining, “Big” data, have become an important part of strategic planning and decision making within many successful organizations. Higher education has been expressing the importance of research, statistical analysis, data modeling, and business decisions based on good information. In fact, higher education institutions have created entire academic programs around these topics. While this information is written and reported within professional periodicals and events, the question stands about how higher education is taking advantage of business intelligence as part of their strategic planning and decision making processes.
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Opening/Framing Comments: John Behrens, Vice President, Center for Digital Data, Analytics, & Adaptive Learning Pearson
Discussion of how the field of educational measurement is changing; how long held assumptions may no longer be taken for granted and that new terminology and language are coming into the.
Panel 1: Beyond the Construct: New Forms of Measurement
This panel presents new views of what assessment can be and new species of big data that push our understanding for what can be used in evidentiary arguments.
Marcia Linn, Lydia Liu from UC Berkeley and ETS discuss continuous assessment of science and new kinds of constructs that relate to collaboration and student reasoning.
John Byrnes from SRI International discusses text and other semi-structured data sources and different methods of analysis.
Kristin Dicerbo from Pearson discusses hidden assessments and the different student interactions and events that can be used in inferential processes.
Panel 2: The Test is Just the Beginning: Assessments Meet Systems Context
This panel looks at how assessments are not the end game, but often the first step in larger big-data practices at districts/state/national levels.
Gerald Tindal from the University of Oregon discusses State data systems and special education, including curriculum-based measurement across geographic settings.
Jack Buckley Commissioner of the National Center for Educational Statistics discussing national datasets where tests and other data connect.
Lindsay Page, Will Marinell from the Strategic Data Project at Harvard discussing state and district datasets used for evaluating teachers, colleges of education, and student progress.
Panel 3: Connecting the Dots: Research Agendas to Integrate Different Worlds
This panel will look at how research organizations are viewing the connections between the perspectives presented in Panels 1 and 2; what is known, what is still yet to be discovered in order to achieve the promised of big connected data in education.
Andrea Conklin Bueschel Program Director at the Spencer Foundation
Ed Dieterle Senior Program Officer at the Bill and Melinda Gates Foundation
Edith Gummer Program Manager at National Science Foundation
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Check http://present.bobchao.net/presentation:mozilla-webmaker for more information, includes video clips of demo.
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Survey Research Data Archive: Current Status and Challenges
- 1. S urvey R esearch D ata A rchive: Current Status and Challenges Ly-Yun Chang Executive Director, Center for Survey Research, RCHSS Research Fellow, Institute of Sociology Academia Sinica Taiwan
- 2. Outline 1. Introduction 2. Major Activities 3. Challenges
- 3. High Quality Data Utility SRDA Multi-levels Data Panel Data 1. SRDA Introduction Large-scale Data
- 5. Current Status of Data Archive Thematic categories Social change, nutrition and health, education, election and democratization Labor force, family income, earnings and productivity Types of data Cross-sectional, panel, quasi-longitudinal Public use data, restricted data, on-site data Record unit Individual, firm, school, town or village (tsun, li) Access
- 6. Government (Survey) 966 datasets 34.13 GB 145 applicants Government (Census) 25 datasets 13.82 GB Commercial Databanks 9 datasets 3.37 GB Academic (Public) 876 datasets 7.82 GB 2,039 download 2008 Academic (Restricted) 64 datasets 0.88 GB 55 uses Academic (on-site) 3 datasets 0.79 GB 66 uses Membership 1,571 members, including 23 foreign scholars
- 7. Materials Available for Members R aw data (SPSS,STATA,SAS), codebooks, s tatistical s oftware programs, User’s Guide
- 9. 2. Major Activities To append or merge panel data To create quasi-longitudinal data from cross-sectional surveys To provide different kinds of search tool on the SRDA website
- 10. S earch tools on the SRDA website
- 11. Nesstar (Interactive data exploration online) - A powerful search tool 2 datasets find
- 12. Nesstar - Provide on-line analysis
- 13. More Major Activities (Response the User’s Voice) Transpose data structure Calculate weights for population estimation Develop variable naming systems
- 15. 3. Challenges Government SRDA Users Academic