Lab personnel from Conley Molecular Genomics Laboratory are setting up a DNA extraction experiment. Shown are Tyler Martin, BSN, Yvette Conley, PhD, FAAN, Sandra Deslouches, BS and Kelley Baumgartel, BSN, PhD.
Getting Started
The purpose of ONSEN is to assist those interested in including Omics in their program of nursing research. The creation of this resource network was recommended by leaders from the nurse scientist community who wanted to enable collaboration, mentoring, and access to training opportunities. Read more about the options for you to contribute to this growing network of colleagues working together to advance nursing science through Omics-based research.
Three ways to get started:
- Are you a nurse scientist, trainee, or other investigator with an interest in Omics nursing research? Through the Research Collaborations section of ONSEN, you can search the database of investigators and projects, and also contribute your own project to the database.
- Are you seeking information about common data elements to include in your studies? Visit the Common Data Elements section for more details and resources.
- Do you want to find education and training options that can help improve your knowledge about Omics and nursing science? Are you available to serve as a mentor, or have pre/postdoctoral opportunities at your institution? The Education & Training section provides the Genomic Knowledge Matrix in addition to a place to seek or post information on mentoring opportunities and pre/postdoctoral positions.
We look forward to having you become part of this Network.
ONSEN Omics Nursing Science & Education Network
Last Updated: 07/25/2019
The collection, maintenance and use of the personal information you submit via this website is protected under provisions of the Privacy Act of 1974. As such, all personally identifiable information (PII) you provide shall be treated as confidential, shall be used only for the purposes for which it was intended and shall be protected from unauthorized disclosure to the full extent permitted by the Act. PII that is entered by participants will be shared with users of the ONSEN website who may contact the participants for the intended purposes of the ONSEN website, which may include collaborations on research projects or exchanging information as a mentor. Participants will be contacted annually to update their information, if desired. By using the ONSEN website, individuals are providing nongovernmental third-parties with access to PII. NINR
Overview
The goal of the Common Data Elements section of ONSEN is to inform existing nurse scientists and academic faculty training nurse scientists seeking to expand their scholarship into Omics, and to develop strategies to promote Omics nursing science. These efforts are all aimed at achieving the Genomic Nursing Science Blueprint research recommendations more quickly, efficiently, effectively, and collaboratively.
Definition of Common Data Element (CDE)
Definition:
The National Institutes of Health (NIH) defines a CDE: as "a data element that is common to multiple data sets across different studies." fundamental logical units of data pertaining to one kind of information1
Example:
Blood Pressure: to measure and report on Blood pressure (BP), the CDE could be captured and reported a systolic BP value and diastolic BP value using the measurement unit= mmHg. Further method specification, such as "Using sphygmomanometer (correct cuff size) and right upper arm, after sitting quietly for 5 minutes, cuff pressure inflated 30 mmHg above the palpated SBP and deflated 2 mmHg per second" would help assure that data reported from multiple studies were assessed and reported in a consistent way.
How will the use of CDEs help advance nursing science and research?
- Leveraging results across multiple studies
- Access to larger samples
- Support for secondary data analysis
- Pooling common data increases statistical power
- Answer important questions with more diverse sample
- Compare groups with similar outcomes
- Use of more sophisticated analyses
- Understanding complex interactions across studies
This section is comprised of three elements:
- A leveled knowledge matrix
- A list of mentors
- A centralized list of pre- and post-doctoral training positions
- The knowledge matrix outlines the key knowledge and skills needed for nurses to integrate Omic science into their research
- The matrix identifies what knowledge and skill elements are needed for each role a researcher could have on an Omic research project (i.e. Principal investigator, key personnel, clinical lead on a grant).
- A list of mentorship opportunities provides a mechanism for researchers interested in Omic nursing science to find one another
- Individuals offering mentorship opportunities in Omic nursing science can post .
- Individuals looking for mentorship opportunities in Omic nursing science can search available opportunities.
- A centralized list of pre- and post-doctoral training positions in Omic nursing science provides a mechanism for students to find training opportunities.
- Individuals with pre- and/or post-doctoral training positions can post them.
- Individuals looking for pre- or post-doctoral training positions in Omic nursing science can search available opportunities .
The Genomic Nursing Science Education Workgroup recognizes that Omic nursing science varies widely based on the individual investigator, the nature of the research, and the role a scientist plays on the research team. As such, the Genomic Knowledge Matrix occurs on a knowledge continuum developed from Blooms Taxonomy and Webb’s Depth of Knowledge1, 2. The four knowledge levels include Basic, Intermediate, Proficient, and Applied. See a summary by viewing the Genomic Knowledge Continuum.
View details of the background, purpose, focus and development and ongoing update processes in the Genomic Knowledge Matrix Preamble.
View the entire Genomic Knowledge Matrix for Nursing Scientists.
Access the full text of the Genomic Knowledge Matrix publication.
This section of ONSEN provides details of the key knowledge elements considered essential for integrating Omics into research.
The key concepts from the following topics comprise essential knowledge elements necessary to integrate Omic science into nursing research:
Molecular Biology
Microbiology & Analytic Approaches and Bioinformatics (Translational Bioinformatics)
Systems Physiology & Cell Biology
Statistics of the Real Time PCR Primer Database
Number of primer sets available in the database per organism
- Homo sapiens: 3784
- Oryza sativa: 1538
- Arabidopsis thaliana: 1259
- Mus musculus: 815
- Rattus norvegicus: 452
- Sus scrofa: 20
- Canis lupus familiaris: 13
- Bos taurus: 13
- Felis catus: 10
- Ovis aries: 10
- Solanum lycopersicum: 9
- Trypanosoma brucei TREU927: 8
- Equus caballus: 6
- Bovine papillomavirus - 1: 5
- Drosophila melanogaster: 5
- Danio rerio: 5
- Salmo salar: 5
- Human herpesvirus 4 type 1: 3
- Listeria innocua Clip11262: 1
- Lymphocytic choriomeningitis virus: 1
- Human immunodeficiency virus 1: 1
- Total: 7963
Number of primer sets available in the database per application
- Gene Expression Quantification/Detection: 7702
- DNA Copy Number Quantification/Detection: 226
- SNP Detection: 12
- Chromatin immunoprecipitation (ChIP): 11
- Fusion Gene Quantification/Detection: 10
- Organism Detection: 1
- Mutation Analysis: 1
- Total: 7963
Number of primer sets available in the database per detection chemistry
- SYBR Green I: 6111
- Taqman: 1808
- Hybridisation Probes: 31
- Molecular Beacon: 13
- Total: 7963
Number of published primer sets available in the database
- Number of published assays: 5627
- Number of different publications: 707
Primer/probe submission evolution
Our talented lab team
Tony Fred
Mich Stark
Aline Turner
Iris Joe
Pete Bluestork
