DRUM - Digital Repository at the University of Maryland

DRUM collects, preserves, and provides public access to the scholarly output of the university. Faculty and researchers can upload research products for rapid dissemination, global visibility and impact, and long-term preservation.

Submit to DRUM

Submit to DRUM

To submit an item to DRUM, login using your UMD credentials. Then select the "Submit Item to DRUM" link in the navigation bar. View DRUM policies and submission guidelines.
Equitable Access Policy

Equitable Access Policy

The University of Maryland Equitable Access Policy provides equitable, open access to the University's research and scholarship. Faculty can learn more about what is covered by the policy and how to deposit on the policy website.
Theses and Dissertations

Theses and Dissertations

DRUM includes all UMD theses and dissertations from 2003 forward.

List of Communities

Collections Organized by Department

UM Community-managed Collections

Recent Submissions

  • Item type: Item ,
    Dataset - Journal Editors Publishing Needs
    (2026) Wilson, Michelle
    This dataset contains aggregated quantitative results from a survey of journal editors examining how they balance open access commitments with practical publishing constraints. Conducted spring 2024, the survey collected 117 responses from editors across diverse disciplines, publisher types, and access models via the Library Publishing Coalition, Council for Editors of Learned Journals (CELJ), World Association of Medical Editors (WAME), and Society for Scholarly Publishing (SSP), supplemented by twelve follow-up interviews (May-September 2024). This dataset supports the research article: "Values and viability, principles and practice: A survey of journal editors’ decision-making factors," Journal of Librarianship and Scholarly Communications (JLSC). Key findings reveal that: (1) disciplinary open access prevalence, not individual editor values, predicts OA importance in publisher selection; (2) editors prioritize production support and editorial autonomy equally; (3) subscription revenue dependencies create barriers to OA transitions for society-owned journals; (4) editors strongly resist compromises requiring journal title relinquishment; and (5) APC elimination and production support matter more than open access promises alone in motivating publisher changes. The de-identified CSV dataset includes frequency distributions, percentages, counts, and descriptive statistics for 13 survey questions covering respondent demographics, journal characteristics, Likert-scale ratings (1-5) of publisher attributes and journal policies, and willingness to compromise to change publishers. The accompanying README documents methodology, data structure, variable definitions, and limitations. The full research article provides detailed interpretation and implications for library publishers, scholarly societies, and non-commercial publishing initiatives.
  • Item type: Item ,
    30 Parent Number Input
    (2024-07-15) Mix, Kelly; Cabrera, Natasha
    This dataset contains codes of parent numeracy input including number word utterances, other quantitative words, and quantitative actions or gestures based on a set of video recorded home visits conducted for a separate study (Cabrera & Reich, 2017) when children were 30 months old. The dataset also includes demographic information and children's scores on a numeracy outcome measure collected when children were 43 months on average. The parent number input codes were collected in 2022-2023 and the children’s numeracy outcome scores collected between 2020-2021. Record updated 2026-05-14: This version is organized to facilitate comparisons by parent gender across the outcome variable. In addition, the “Long” version is organized to facilitate comparisons between parents of the same children.
  • Item type: Item ,
    Transferable Deep Learning for Multivariate Spacecraft Telemetry Anomaly Detection
    (2026) Unnithan, Varun; Martin, John R.
    As spacecraft complexity and satellite deployment rates increase, automated anomaly detection is critical to ensuring mission safety. A majority of traditional model designs and evaluations are tested on datasets that are augmented or not representative of operational realities in spaceflight. This paper addresses this through its utilization of the European Space Agency Anomaly Detection Benchmark (ESA-ADB), a dataset characterized by sub-2% anomaly density, irregular sampling, and intentional telecommand-driven state changes. Time-series telemetry data is spatially encoded using 2D Gramian Angular Fields (GAFs) and CNN architectures are evaluated through a comparison of a shallow model versus deep residual networks (ResNet), assessed for the ability to classify anomalous and nominal telemetry segments. Stacked multichannel GAFs outperform single-channel approaches by capturing subsystem co-activation patterns, doubling the F0.5 score on both datasets they are tested on. While spatial encoding models achieve near-perfect event-wise recall, precision remains fundamentally bounded by the misclassification of telecommand driven rare nominal events.
  • Item type: Item ,
    Boundary Layer Transition in Mach 4 Flow with Varying Angle of Attack
    (2026) Stock, Catherine M.; Laurence, Stuart J.
    Boundary layer transition in hypersonic flow is often studied at Mach numbers above 4, where second mode instabilities are known to drive the breakdown from laminar to turbulent flow. At Mach 4, however, these second mode disturbances are weaker, and transition may instead be influenced by first mode or mixed instability mechanisms. Because of this, transition behavior in the Mach 4 regime is less clearly understood, especially under varying angle of attack conditions. To investigate this, Mach 4 flow over a sharp nose cone was studied in the University of Maryland Multi-phase Investigations Supersonic Tunnel (MIST) Ludwieg tube using high speed Schlieren imaging. Several test cases with varying angle of attack and fill pressure were analyzed using Spectral Proper Orthogonal Decomposition (SPOD) to identify the dominant coherent disturbances and examine their downstream development. Transition onset was estimated from rapid increases in modal amplitude and energy, indicating a later transition at more negative angles of attack and an earlier transition at more positive angles of attack. Transitional cases showed dominant instability frequencies between approximately 31 and 49 kHz. These results provide additional insight into boundary layer transition in Mach 4 flow.
  • Item type: Item ,
    Comparative Analysis of Human and Teleoperated Robotic Performance in Space Utility Operations
    (2026) Szego, Bence P.; Akin, David L.
    Human participation in space exploration introduces significant cost, risk, and engineering complexity, motivating increased reliance on robotic systems for many operational tasks. However, the degree to which robotic manipulation can effectively substitute for direct human interaction remains an open human factors question. This study evaluates performance differences using a Fitts’ Law button-tapping task conducted under four distinct experimental conditions including direct human operation in a shirtsleeve environment, human manipulation using a simulated hardshell spacesuit arm, robotic manipulation with direct visual feedback of the worksite, and robotic manipulation relying on camera-based teleoperation. Following each set of trials, participants completed subjective workload assessments including the NASA Task Load Index (TLX) and the Bedford workload scale. Task performance was further quantified using Fitts’ Law, taking throughput and movement time as functions of an index of difficulty, providing a consistent measure of manipulation efficiency across conditions. Results indicate that shirtsleeve and simulated suit-arm conditions produce significantly higher efficiency and lower cognitive workload than robotic operation, whereas robotic conditions reduce perceived physical effort compared to the suited condition but introduce far greater cognitive workload. These findings suggest that direct human interaction and robotic manipulation fulfill complementary roles rather than serving as direct replacements for one another, and that future missions may benefit by integrating both approaches to balance efficiency, operator workload, and operational flexibility.