In teacher education, there is a growing need for teachers to become data literate by collecting a variety of data on student learning to assess student progress and inform instruction. Research on pedagogical documentation in education, in particular early childhood education, has been undertaken to make students' learning visible by documenting…

Historic data in analog (or print) format is a valuable resource that is utilized by scientists in many fields. This type of data may be found in various locations on university campuses including offices, labs, storage facilities, and archives. This study investigates whether biological data held in one institutional university archives could be…

This study focuses on Grounded Theory, which is one of the qualitative research designs. Glaser and Strauss developed the Grounded Theory; it has been revised by other scientists, resulting in three distinct Grounded Theory approaches: the systematic design (Corbin and Strauss approach), the classical design (Glaser approach), and the…

There is no single agreed-upon definition of data literacy because expectations of what it means to be data literate varies across contexts. The lack of agreement on a definition of data literacy across contexts is therefore necessary. However, definitions are important. Definitions embody our understanding of concepts and are the foundation for…

As part of a study investigating research productivity of sociology PhD students in Australia, an application to the federal government's Department of Education, Skills and Employment (DESE) aimed to establish a baseline count of completed sociology doctorates by university. It was anticipated that university totals might be different from PhD…

Collecting treatment integrity data is critical for (a) strengthening internal validity within a research study, (b) determining the impact of an intervention on student outcomes, and (c) assessing the need for implementation supports. Although researchers have noted the increased inclusion of treatment integrity data in published articles, there…

This paper details the anticipated impact of synthetic "big" data on learning analytics (LA) infrastructures, with a particular focus on data governance, the acceleration of service development, and the benchmarking of predictive models. By reviewing two cases, one at the sector-wide level (the Jisc learning analytics architecture) and…

Background/Context: In recent years, states, districts, schools, and external partners have recognized the need to proactively foster the use of data to guide educational decision-making and practice. Understanding that data alone will not guarantee use, individuals at all levels have invested in interventions to support better access to,…

This document is one of eight reports prepared to support the development of a new learning system, an effort that is the first step in a major initiative undertaken by the Stupski Foundation. The report was created collaboratively by researchers from McRel with guidance from officers of the Stupski Foundation. Its purpose is to provide members of…

This document discusses the importance of data-quality and presents three simple steps that can help lay the framework for an over all data-quality strategy. The first step is to ask some rather simple questions, such as: (1) How much data does the organization have, how fast is it creating new data, and how many redundant copies are there?; and…

This article is based on a series of reviews on the supply of, and demand for, social science documents and data in the United Kingdom. Findings indicate that social scientists in the United Kingdom make relatively little use of library tools and information services. (Author/DB)

The devolution of increasing amounts of responsibility for the design and implementation of child and family policy has increased demand for measures of child well-being at lower levels of geography. Currently, however, it is unclear the extent to which commonly used measures of well-being can be estimated for children living in rural areas. To…

Data collection and analysis are frequently neglected by school leaders over the course of the decision-making process. All schools gather large amounts of information about students and teachers, but most data are used to satisfy administrative requirements rather than evaluate school improvement in a systematic fashion. Apprehension regarding…

This study aimed to describe, compare, and analyze the use of specific types of data utilized in decision-making by administrators of more and less effective community colleges. The study utilized a modified version of Kim Cameron's "Assessment of Organizational Effectiveness on Higher Education" to measure and rank community college…

Discusses agency library information activities, production and dissemination, and resource access as presented at the first conference of state and provincial fish and game agency librarians. Agencies represented include the Fish and Wildlife Reference Service, Aquaculture, United States Fish and Wildlife Service, Bureau of Land Management,…