A5072747754- Research Data Management Practices
- Scientific Computing and Data Management
- Biomedical Text Mining and Ontologies
- Geographic Information Systems Studies
- Data Quality and Management
- Advertising and Communication Studies
- Laser-Ablation Synthesis of Nanoparticles
- Digital and Traditional Archives Management
- Health Sciences Research and Education
- Meta-analysis and systematic reviews
- Digital Humanities and Scholarship
- Data Privacy and Cybersecurity
- Innovative Microfluidic and Catalytic Techniques Innovation
- Libraries and Information Services
Center for Information Technology
2018-2023
National Institutes of Health
2018-2023
George Washington University
1997
As information and communication technology has become pervasive in our society, we are increasingly dependent on both digital data repositories that provide access to enable the use of such resources. Repositories must earn trust communities they intend serve demonstrate reliable capable appropriately managing hold.
Biomedical research has become a digital data-intensive endeavor, relying on secure and scalable computing, storage, network infrastructure, which traditionally been purchased, supported, maintained locally. For certain types of biomedical applications, cloud computing emerged as an alternative to locally traditional approaches. Cloud offers users pay-as-you-go access services such hardware platforms, software for solving common computational problems. offer on-demand storage analysis are...
<ns4:p>Genomics and molecular imaging, along with clinical translational research have transformed biomedical science into a data-intensive scientific endeavor. For researchers to benefit from Big Data sets, developing long-term digital data preservation strategy is very important. In this opinion article, we discuss specific actions that institutions can take make continued resource even after projects reached the end of their lifecycle. The involve utilizing an Open Archival Information...
<ns4:p>The Biomedical Research Informatics Computing System (BRICS) was developed to support multiple disease-focused research programs. Seven service modules are integrated together provide a collaborative and extensible web-based environment. The modules—Data Dictionary, Account Management, Query Tool, Protocol Form Management System, Meta Study, Data Repository Globally Unique Identifier —facilitate the management of protocols, submit, process, curate, access store clinical, imaging,...
Abstract Biomedical platforms provide the hardware and software to securely ingest, process, validate, curate, store, share data. Many large-scale biomedical use secure cloud computing technology for analyzing, integrating, storing phenotypic, clinical, genomic Several web-based are available researchers access services tools research. The of bio-containers can facilitate integration bioinformatics with various data analysis pipelines. Adoption Common Data Models, Elements, Ontologies...
Abstract Objective The goal is to develop a standardized informatics computing system that can support end-to-end research data lifecycle management for biomedical applications. Materials and Methods Design implementation of (BRICS) demonstrated. architecture modular in design with several integrated tools: global unique identifier, validation, upload, download query tools user friendly capability. Results BRICS instances were deployed improvements diagnosis traumatic brain injury, biomarker...
<ns4:p>Biomedical translational research can benefit from informatics system that support the confidentiality, integrity and accessibility of data. Such systems require functional capabilities for researchers to securely submit data designated biomedical repositories. Reusability is enhanced by availability ensure access A was developed combining common element methodology with a service-oriented architecture multiple disease focused programs. Seven service modules are integrated together...
Abstract A recurring pattern of access to existing databases, data analyses, formulation new hypotheses, use an experimental design, institutional review board approvals, collection, curation, and storage within trusted digital repositories is observable during clinical research work. The workflows that support the repeated nature these activities can be ascribed as a Canonical Workflow Framework for Research (CWFR). Disease area protocol specific, electronic case report forms Common Data...
Over the past 4 years, authors have participated as members of Mobilizing Computable Biomedical Knowledge Technical Infrastructure working group and focused on conceptualizing infrastructure required to use computable biomedical knowledge. Here, we summarize our thoughts lay foundation for future work in development CBK infrastructure, including: explaining difference between knowledge data, contextualizing conversation with Learning Health Systems FAIR principles. Specifically, provide...
Data Management Plans (DMPs) are essential to a research data life cycle. The DMPs should be developed as part of the programs effective. For disease area research, integrating community-recommended standards during collection can enhance likelihood reuse. Informatics tools required with aim being findable, accessible, interoperable, and reusable. US National Institutes Health supports various has recently finalized Sharing Policy. policy highlights importance sharing metadata, including...
Molecular dynamics was used to analzye energy transfer rates between matrix and guest molecules in matrix-assisted laser desorption allowing for a large number of internal degrees freedom.The effect initial temperature jump on equilibration times limiting temperatures has been studied model system comprising pyridine-3-carboxylic acid leucine enkephalin (Tyr-Gly-Gly-Phe-Leu) molecule.It appears that the depend jump.The 900 K leads incomplete desorption, whereas at 1500 complete formation an...