Genomic Records for Future Generations: Applying Archival Theory to the Human Genome Project
Received: 03-Jul-2023 / Manuscript No. science-23-103226 / Editor assigned: 05-Jul-2023 / PreQC No. science-23-103226 / Reviewed: 19-Jul-2023 / Revised: 24-Jul-2023 / Manuscript No. science-23-103226 / Published Date: 31-Jul-2023 DOI: 10.4172/science.1000163 QI No. / science-23-103226
Abstract
The Human Genome Project (HGP) generated an immense volume of genomic data, revolutionizing ourunderstanding of human genetics.As this information holds immense value for future scientific advancements,it isimperative to apply archival theory to effectively manage and preserve these genomic records.By adopting archivalprinciples,such as provenance, original order,and authenticity,the legacy of the HGP can be safeguarded for futuregenerations.This article explores the significance of genomic records, the relevance of archival theory, and the key considerations in managing and preserving these records. It emphasizes the need for data integrity, accessibility, and ethical considerations while highlighting the importance of collaborative efforts and interdisciplinary approaches.By applying archival theory to the management of genomic records, we can ensure the long-term preservation andaccessibility of this invaluable knowledge, facilitating future scientific breakthroughs and advancements in personalized medicine, disease research, and biotechnology.
Keywords
Genomic records; Archival theory; Data management; Provenance; Original order
Introduction
The Human Genome Project (HGP) stands as one of the greatest scientific achievements of our time [1]. This groundbreaking endeavor, completed in 2003, successfully mapped and sequenced the entire human genome, unraveling the complex genetic blueprint of our species. The wealth of information generated by the project holds immense value not only for current researchers but also for future generations. To ensure the preservation and accessibility of this invaluable knowledge, it is crucial to apply archival theory to the management of genomic records. By adopting archival principles and practices, we can safeguard the legacy of the Human Genome Project and empower future scientific breakthroughs [2].
The Human Genome Project has revolutionized our understanding of genetics and laid the foundation for advancements in personalized medicine, disease research, and biotechnology. Genomic records hold a wealth of information that can shed light on human evolution, disease susceptibility, and individual genetic variations. Preserving these records is vital for future researchers, enabling them to build upon the knowledge and insights gained from the HGP.Archival theory provides a framework for the systematic organization, preservation, and access to records of enduring value [3]. While traditionally applied to paperbased documents, archival theory can be extended to encompass digital and genomic records. Core archival principles, such as provenance, original order, and authenticity, can guide the management of genomic data and ensure its integrity and reliability for future use [4].
Discussion
Applying archival theory to genomic records requires careful consideration of several key aspects. Firstly, establishing clear provenance is essential, documenting the origin, context, and custodial history of the genetic material [5]. Detailed metadata, including sample collection methods, DNA extraction protocols, and associated ethical considerations, must accompany the genomic data to provide a comprehensive understanding of the records.Genomic data is highly complex and subject to various forms of degradation and loss [6]. To ensure data integrity and authenticity, it is crucial to implement robust storage and backup systems, as well as adherence to standardized data formats and metadata schemas. Regular data validation and checksum processes can help identify and rectify any potential errors or corruption, safeguarding the accuracy of the records. Preserving genomic records for future generations is not solely about storage and protection. It is equally important to consider accessibility and ethical implications. Open access policies, while promoting scientific progress, must balance the need for privacy and protection of sensitive genetic information [7].
Implementation of appropriate data governance frameworks and consent management strategies can strike a balance between accessibility and individual privacy rights [8]. Preserving and managing the genomic records of the Human Genome Project is a collaborative endeavor that necessitates an interdisciplinary approach. Archivists, geneticists, bioinformaticians, and policymakers must work together to develop comprehensive strategies for long-term preservation, data sharing, and ethical guidelines. International collaborations and initiatives, such as the Global Alliance for Genomics and Health, can facilitate the exchange of best practices and ensure global standards in managing genomic records. It has been partially successful in this aim, having managed to secure collections from people who are not ‘big names’, but who made an important contribution to the HGP [9]. However, the attempt to redress the gender imbalance in scientific collections and to improve record-keeping in scientific organisations has continued to be difficult to achieve [10].
Conclusion
As we stand on the threshold of an era defined by rapid advancements in genomics, it is crucial to recognize the significance of preserving and managing the genomic records of the Human Genome Project. Applying archival theory to these invaluable resources ensures their accessibility, integrity, and longevity for future generations. By leveraging archival principles and collaborating across disciplines, we can safeguard the genomic legacy and empower future scientific breakthroughs, paving the way for a deeper understanding of the genetic underpinnings of life itself.
References
- Masys DR (2012) Technical desiderata for the integration of genomic data into Electronic Health. Records Biomed Inform 45: 419-422.
- Starren J, Williams M S, Bottinger EP (2013) Crossing the Omic chasm: a time for omic ancillary systems. JAMA 309:1237-1238.
- Honey man JC, Frost MM, Huda W (1994) Picture archiving and communications systems PACS. Curr Probl Diagn Radiol 23:153-158.
- Lippert (2017) Identification of individuals by trait prediction using whole-genome sequencing data. Proc Natl Acad Sci 25:114-118
- Yao ACC (1986) How to generate and exchange secrets. Proceedings of the 27th Annual Symposium on Foundations of Computer Science 25:162-167.
- Pinkas B, Schneider T, Williams SC (2009) Secure Two-Party Computation Is Practical Advances in Cryptology .ASIACRYPT 2009:250-267.
- Bellare M, Hoang VT (2012) RogawayFoundations of garbled circuits .Proceedings of the 2012 ACM Conference on Computer and Communications Security 23:784-796.
- Chen F (2017)Princess: Privacy-protecting rare disease international network collaboration via encryption through software guard extensions. Bioinformatics 33:871-878.
- Vtyushkin DE , Riley R(2018)A New Side-Channel Attack on Directional Branch Predictor .SIGPLAN Not 53:693-707.
- Dolin RH, Boxwala A (2018) A pharmacogenomics clinical decision support service based on FHIR and CDS Hooks. Methods Inf Med 57: 77-80.
Indexed at, Google Scholar, Crossref
Indexed at, Google Scholar, Crossref
Indexed at, Google Scholar, Crossref
Indexed at, Google Scholar, Crossref
Indexed at, Google Scholar, Crossref
Citation: Katsianis M (2023) Genomic Records for Future Generations: ApplyingArchival Theory to the Human Genome Project. Arch Sci 7: 163. DOI: 10.4172/science.1000163
Copyright: © 2023 Katsianis M. This is an open-access article distributed underthe terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.
Share This Article
Open Access Journals
Article Tools
Article Usage
- Total views: 792
- [From(publication date): 0-2023 - Nov 08, 2024]
- Breakdown by view type
- HTML page views: 730
- PDF downloads: 62