Background/Context: Application Programming Interfaces (APIs) are becoming a core means to collect and disseminate data for education research and policy. Surveys can be costly, slow, and burden respondents, and manually downloading data files is slow and cumbersome when many files are needed. APIs provide a programmatic way to collect data or…

Research-intensive institutions rely on specialized central offices to support research administrators and investigators through various processes and requirements. This helps researchers successfully and compliantly conduct and manage research. However, when these support offices communicate their processes and resources from disparate locations,…

This article provides an original and timely contribution to current cutting-edge methodological debates by discussing the ongoing need to ensure communities in zones which are inaccessible through war, conflict or disease still have a voice and are not side-lined. As seen during COVID-19, traditional methods of gaining opinions from these…

It is essential to save lives during emergencies not only in hospitals but also in colleges and universities. Failure to identify risks and take prompt action during catastrophes and emergency situations could result in the loss of life and property for the campus community. This research aims to explore the feasibility of using data analytics to…

This brief examines how state policies and practices continue to evolve in light of the COVID-19 pandemic. It is based on data provided by 45 states plus the District of Columbia as of early May 2022. The brief updates our 2021 report, "Are Students Present and Accounted For? An Examination of State Attendance Policies During the COVID-19…

The Centre for Environmental Data Analysis (CEDA) is a provider of two major services to the environmental science community; JASMIN and the CEDA Archive. CEDA is frequently required to evidence the impact it has on researchers and wider society. However, this is challenging as there are currently no formal or standard processes for collecting…

This article describes a nexus analysis of the lengthy, complex process of negotiating access to schools for a research project surveying 1,002 children (aged 9-12 years) about their digital and language practices. The analysis distinguished layers of adult-centered gatekeeping, each of which needed to be tackled in sequence. Bottlenecks…

This study seeks to understand the relationship between research data management (RDM) services framed in the data curation life cycle and the production of open data. An electronic questionnaire was distributed to US researchers and RDM specialists, and the results were analyzed using Chi-Square tests for association. The data curation life cycle…

Qualitative and mixed methods digital social research often relies on gathering and storing social media data through the use of APIs (Application Programming Interfaces). In past years this has been relatively simple, with academic developers and researchers using APIs to access data and produce visualisations and analysis of social networks and…

Research information management (RIM) is a rapidly growing area of investment in US research universities. RIM systems that support the collection and use of research outputs metadata have been in place for many years. Globally, the RIM ecosystem is quite mature in locales where national research assessment exercises like the United Kingdom's…

Research Information Management (RIM) is a rapidly growing area of investment in US research universities, comprised of a variety of use cases, stakeholders, and products. This growth has been characteristically decentralized, resulting in silos, multiple systems, and frequent duplication of efforts at many institutions. This report is a two-part…

The preschool landscape is complex, consisting of several publicly funded programs supported by federal, state, and local funds. Included in this landscape is Head Start, a critical early childhood education (ECE) program that serves--in every state and territory--young children in families with incomes at or below the federal poverty line,…

Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…

Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of…

This case study examines the complexities of rapid-response data collection via the Play Observatory project's online qualitative survey of children, families, and child-oriented organizations. This research took place during a global pandemic and combined data collection with cataloguing and preserving materials for future research. Placing…