Katherine Alberta Mika

ORCID: 0000-0002-8839-0503
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About
Contact & Profiles
Research Areas
  • Research Data Management Practices
  • Digital Humanities and Scholarship
  • Water Quality and Pollution Assessment
  • Scientific Computing and Data Management
  • Water Quality and Resources Studies
  • Big Data Technologies and Applications
  • Digital and Traditional Archives Management
  • Water resources management and optimization
  • Academic Publishing and Open Access
  • Phytoplasmas and Hemiptera pathogens
  • Statistical Methods in Epidemiology
  • Green IT and Sustainability
  • Qualitative Research Methods and Ethics
  • Advanced Data Storage Technologies
  • Data Quality and Management
  • Data Analysis and Archiving

Harvard University Press
2021-2022

Quantitative BioSciences
2021

Harvard University
2017-2021

University of Colorado Boulder
2019

University of Colorado System
2019

In this study, we developed a multi-layered model analyzing HPC energy use, carbon footprint, and broader environmental consequences. We built hierarchical that categorizes consumption based on system scale. Our calculations indicated global in 2023 was 82.09 TWh. used weighted intensity formula to estimate emissions using forecasted national mixes. The considered both the manufacturing operational phases of systems. 2023, from systems were approximately 35 million tons CO₂, primarily due...

10.56028/aetr.13.1.1272.2025 article EN Advances in Engineering Technology Research 2025-03-27

Sharing data and code for reuse has become increasingly important in scientific work over the past decade. However, practice, shared may be unusable, or published results obtained from them irreproducible. Data repository features services contribute significantly to quality, longevity, reusability of datasets. This paper presents a combination original secondary analysis studies focusing on computational reproducibility, curation, gamified design elements that can employed indicate improve...

10.3390/data6020015 article EN Data 2021-02-03

This paper is a survey of the landscape current, successful, and innovative platforms for extracting full text transcriptions structured data using crowdsourcing as tool. Archival manuscript items are key case studies reviewed to develop set tools Biodiversity Heritage Library use in enhancing access extraction information from scientific natural history collections.

10.17161/bi.v12i0.6646 article EN Biodiversity Informatics 2017-11-14

Research data management is essential for high-quality reproducible research, yet relatively little known about how research practiced by graduate students in Civil and Environmental Engineering (CEE). Prior suggests that faculty CEE delegate to students, prompting this investigation into practice management. This study uses semi-structured interviews qualitative content analysis explore work with their as well what resources support would meet needs. Many respondents touched on collection,...

10.29173/istl2678 article EN Issues in Science and Technology Librarianship 2022-08-16

Increased computational and multimodal approaches to research over the past decades have enabled scholars learners forge creative avenues of inquiry, adopt new methodological approaches, interrogate information in innovative ways. As such, academic libraries begun offer a suite services support these digitally inflected data-intense strategies. These supports, dubbed digital scholarship library profession, break traditional disciplinary boundaries highlight significance inquiry. Externally,...

10.18357/kula.130 article EN cc-by KULA knowledge creation dissemination and preservation studies 2021-12-31

Book review of: Data Feminism by Catherine D'Ignazio and Lauren F. Klein, The MIT Press (2020). combines intersectional feminism critical data studies to invite the reader consider: “How can we use remake world?” As non-profit organizations with a mandate provide equitable access non-neutral information services, libraries library workers are uniquely positioned advance principles laid out in Feminism.

10.7191/jeslib.2021.1198 article EN cc-by Journal of eScience Librarianship 2021-05-06
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