Short answer
Design a system that not only stores information but also organizes it in a way that facilitates discovery and analysis, with a focus on user accessibility and comprehensive data integration.
- Field
- Classic Design
- Source
- Nucleic Acids Research (2009)
- Method
- Database development and data curation.
- Sample
- 180,978 experiments curated from literature, plus 129,186 experiments submitted directly by investigators.
- Evidence
- Strong effect
The Immune Epitope Database (IEDB) 2.0 offers a structured and searchable repository of experimentally validated immune epitopes, significantly advancing research in immunology and related fields. This classic design research insight is drawn from a 2009 study published in Nucleic Acids Research. Using Database development and data curation. with 180,978 experiments curated from literature, plus 129,186 experiments submitted directly by investigators., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Design a system that not only stores information but also organizes it in a way that facilitates discovery and analysis, with a focus on user accessibility and comprehensive data integration.
IEDB 2.0: A Comprehensive Database for Immune Epitope Research
The Immune Epitope Database (IEDB) 2.0 offers a structured and searchable repository of experimentally validated immune epitopes, significantly advancing research in immunology and related fields.
Nucleic Acids Research · 2009
Key Findings
- 01The IEDB 2.0 provides a catalog of experimentally characterized B and T cell epitopes.
- 02It includes data on MHC binding and MHC ligand elution experiments.
- 03The database covers a significant portion of publicly available information on peptide epitopes in infectious agents and allergens.
- 04Both positive and negative experimental results are captured.
- 05The database is searchable by various criteria including epitope structure, source organism, MHC restriction, assay type, and host organism.
Application
Design takeaway
Design a system that not only stores information but also organizes it in a way that facilitates discovery and analysis, with a focus on user accessibility and comprehensive data integration.
How to apply
When designing databases or information systems for research, prioritize clear categorization, robust search functionalities, and intuitive user interfaces. Consider the full lifecycle of data, from collection to presentation.
Project actions
- 01Consider how to organize and present complex data in a clear and accessible way.
- 02Think about the user's needs when designing an interface for information retrieval.
Method & Evidence
Strengths & Limitations
Strengths
- +Comprehensive data collection from literature and direct submissions.
- +Redesigned interface for improved usability and functionality.
Limitations
The scope of the database is limited to experimentally verified epitopes. Data curation is an ongoing process and may not be exhaustive for all research areas.
Reliability & validity
The reliability of the IEDB is supported by manual curation from scientific literature and direct investigator submissions, aiming for accuracy. Validity is established by the experimental basis of the data and the comprehensive nature of the epitope characterization.
Think critically
How might the design of the IEDB 2.0 influence the direction of future immunological research, and what are the potential biases introduced by the data curation process?
Design Principles
"Information architecture and data visualization are crucial for making complex scientific data accessible and actionable."
This database exemplifies how a well-organized and accessible information system can accelerate scientific discovery. By consolidating diverse experimental data, it provides a foundational resource for researchers, enabling them to identify patterns, generate hypotheses, and design new experiments more efficiently.
What This Means for Your Design
This is like a super-organized library for scientists studying how the body fights off germs. It collects all the specific 'flags' (epitopes) that the immune system recognizes from different diseases and allergies, making it easy for scientists to find and use this information for their own research.
How to use in your project
- 1.Reference the IEDB as an example of effective information architecture in a scientific context.
- 2.Discuss how the database design facilitates user interaction and data analysis.
Add to My Project
Quick Cite
Paragraph starter
The Immune Epitope Database (IEDB) 2.0 serves as a prime example of effective information architecture within scientific research. Its design prioritizes the comprehensive cataloging and structured presentation of experimental data on immune epitopes, enabling researchers to efficiently access, query, and analyze critical immunological information. This approach highlights the power of well-designed databases in accelerating scientific discovery by transforming raw data into actionable knowledge.
Source
Questions About This Research
- What does the research say about iedb 2.0: a comprehensive database for immune epitope research?
- Design a system that not only stores information but also organizes it in a way that facilitates discovery and analysis, with a focus on user accessibility and comprehensive data integration. Evidence: Nucleic Acids Research (2009).
- Why does "IEDB 2.0: A Comprehensive Database for Immune Epitope Research" matter for design?
- This database exemplifies how a well-organized and accessible information system can accelerate scientific discovery. By consolidating diverse experimental data, it provides a foundational resource for researchers, enabling them to identify patterns, generate hypotheses, and design new experiments more efficiently.
- How can designers apply this research?
- Design a system that not only stores information but also organizes it in a way that facilitates discovery and analysis, with a focus on user accessibility and comprehensive data integration.
- What were the main findings?
- The IEDB 2.0 provides a catalog of experimentally characterized B and T cell epitopes.. It includes data on MHC binding and MHC ligand elution experiments.. The database covers a significant portion of publicly available information on peptide epitopes in infectious agents and allergens.. Both positive and negative experimental results are captured.
- What research method was used?
- Database development and data curation. with 180,978 experiments curated from literature, plus 129,186 experiments submitted directly by investigators..
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2009 journal from Nucleic Acids Research.
- What should I do differently in my next project?
- When designing databases or information systems for research, prioritize clear categorization, robust search functionalities, and intuitive user interfaces. Consider the full lifecycle of data, from collection to presentation.
- What are the limitations?
- The completeness of data for certain areas (e.g., autoimmunity) may be ongoing. The focus is on experimentally characterized epitopes, potentially excluding theoretical or predicted ones.