Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 2 |
Descriptor
Data Analysis | 3 |
Program Implementation | 3 |
Statistical Data | 3 |
Data Collection | 2 |
Academic Libraries | 1 |
Advocacy | 1 |
Best Practices | 1 |
Computer Software Reviews | 1 |
Computer System Design | 1 |
Databases | 1 |
Evaluation Utilization | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Descriptive | 2 |
Guides - Non-Classroom | 1 |
Reference Materials -… | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 1 |
Audience
Media Staff | 1 |
Location
Indiana | 1 |
Pennsylvania | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Daniel, Ben – British Journal of Educational Technology, 2015
Institutions of higher education are operating in an increasingly complex and competitive environment. This paper identifies contemporary challenges facing institutions of higher education worldwide and explores the potential of Big Data in addressing these challenges. The paper then outlines a number of opportunities and challenges associated…
Descriptors: Higher Education, Statistical Data, Data Analysis, Program Implementation
Flatley, Robert; Jensen, Robert Bruce – Journal of Electronic Resources Librarianship, 2012
Academic libraries have traditionally collected reference statistics using hash marks on paper. Although efficient and simple, this method is not an effective way to capture the complexity of reference transactions. Several electronic tools are now available to assist libraries with collecting often elusive reference data--among them homegrown…
Descriptors: Academic Libraries, Program Implementation, Reference Services, Library Research
Ma, Xuan; And Others – 1995
This guide presents an introduction to the basics about data collection and discusses the uses of data in daily work. The emphasis is on youth programs in Indiana, but the information is useful for programs in other states. Ways in which program planners and advocacy activists can use data are described, and local, state, and national resources…
Descriptors: Advocacy, Data Analysis, Data Collection, Databases