At state and local levels, home visiting programs may use one of several mechanisms to collect and store data from families and clients who participate in home visiting services. States that are interested in integrating home visiting data with other early childhood data must often navigate the different ways in which home visiting data are stored…

Integrating data across early childhood programs allows program staff and administrators, policymakers, and researchers to have a comprehensive picture of early childhood programs. While some states have taken significant steps to integrate data across many early childhood programs, home visiting data have seldom been included in these data…

While home visiting services are an important component of the early childhood (EC) landscape, few states include home visiting data in their early childhood integrated data systems (ECIDS). An ECIDS links together data from different early care and education programs to generate data used to support program and policy decisions. One reason for…

Information communications technologies (ICTs) like laptops, smartphones and portable storage devices facilitate travel, communication and documentation for researchers who conduct fieldwork. But despite increasing awareness about the ethical complications associated with using ICTs among journalists and humanitarians, there are few reflections on…

This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…

The work of the National Forum on Education Statistics (Forum) is a key aspect of the National Cooperative Education Statistics System (Cooperative System). The Cooperative System was established to produce and maintain, with the cooperation of the states, comparable and uniform education information and data that are useful for policymaking at…

Although widely used, the SCORM metadata model for content aggregation is difficult to be used by educators, content developers and instructional designers. Particularly, the identification of contents related with each other, in large repositories, and their aggregation using metadata as defined in SCORM, has been demanding efforts of computer…

National College Access Network (NCAN) has heard repeatedly and consistently over the years that one of the best aspects of network membership is the ability to collaborate with and learn from other members. In an effort to further the transfer of ideas, in the summer of 2016 NCAN hosted a series of four Idea Incubators across the country, which…

Accurate and complete data can empower college choices, promote student success, and inform federal, state and institutional policies. Yet existing postsecondary student data systems are disconnected, duplicative and incomplete. "A Blueprint for Better Information: Recommendations for a Federal Postsecondary Student-Level Data Network"…

In a MOOC environment, each student's interaction with the course content is a crucial clue for learning analytics, which offers an opportunity to record learner activity of unprecedented scale. In online learning, the educators and the administrators need to get informed with students' learning states since the performance of unsupervised…

Within the context of "big data", there is an increasing focus on the source of the large volumes of data now stored electronically. The greatest portion of this data is unstructured and comes from a variety of sources in a variety of formats, much of which does not conform to a consistent data model. As business and government…

This chapter provides examples of innovative methods and tools to collect, analyze, and report both quantitative and qualitative data in student affairs assessment.

According to researchers at the University of Southern California (Washington Post, 2011), the world's storage capacity for digital data increased from 0.2 billion gigabytes in 1986 to 276 billion gigabytes by 2007 (at the same time analogue storage capacity increased from 2.6 to 18.9 billion gigabytes). This huge growth is often seen in…

Ecosystem health is deteriorating in many parts of the world due to direct and indirect anthropogenic pressures. Generating accurate, useful, and impactful models of past, current, and future states of ecosystem structure and function is a complex endeavor that often requires vast amounts of data from multiple sources and knowledge from…

Networks, such as social networks, are a universal solution for modeling complex problems in real time, especially in the Big Data community. While previous studies have attempted to enhance network processing algorithms, none have paved a path for the development of a persistent storage system. The proposed solution, GraphStore, provides an…