Journal:Defending our public biological databases as a global critical infrastructure

Full article title	Defending out public biological databases as a global critical infrastructure
Journal	Frontiers in Bioengineering and Biotechnology
Author(s)	Caswell, Jacob; Gans, Jason D.; Generous, Nicolas; Hudson, Corey M.; Merkley, Eric; Johnson, Curtis; Oehmen, Christopher; Omberg, Kristin; Purvine, Emilie; Taylor, Karen; Ting, Christina L.; Wolinsky, Murray; Xie, Gary
Author affiliation(s)	Sandia National Laboratories, Los Alamos National Laboratory, Pacific Northwest National Laboratory
Primary contact	Email: karen at pnnl dot gov
Editors	Murch, Randall S.
Year published	2019
Volume and issue	7
Page(s)	58
DOI	10.3389/fbioe.2019.00058
ISSN	2296-4185
Distribution license	Creative Commons Attribution 4.0 International
Website	https://www.frontiersin.org/articles/10.3389/fbioe.2019.00058/full
Download	https://www.frontiersin.org/articles/10.3389/fbioe.2019.00058/pdf (PDF)

Abstract

Progress in modern biology is being driven, in part, by the large amounts of freely available data in public resources such as the International Nucleotide Sequence Database Collaboration (INSDC), the world's primary database of biological sequence (and related) information. INSDC and similar databases have dramatically increased the pace of fundamental biological discovery and enabled a host of innovative therapeutic, diagnostic, and forensic applications. However, as high-value, openly shared resources with a high degree of assumed trust, these repositories share compelling similarities to the early days of the internet. Consequently, as public biological databases continue to increase in size and importance, we expect that they will face the same threats as undefended cyberspace. There is a unique opportunity, before a significant breach and loss of trust occurs, to ensure they evolve with quality and security as a design philosophy rather than costly “retrofitted” mitigations. This perspective article surveys some potential quality assurance and security weaknesses in existing open genomic and proteomic repositories, describes methods to mitigate the likelihood of both intentional and unintentional errors, and offers recommendations for risk mitigation based on lessons learned from cybersecurity.

Keywords: cyberbiosecurity, biosecurity, cybersecurity, biological databases, machine learning, bioeconomy

Introduction

Although an openly shared interaction platform confers great value to the biological research community, it may also introduce quality and security risks. Without a system for trusted correction and revision, these shared resources may facilitate widespread dissemination and use of low-quality content, for instance, taxonomically misclassified or erroneous sequences. Furthermore, as these public databases increase in size and importance, they may fall victim to the same security issues and abuses that plague cyberspace to this day. If we act now by developing the databases with quality and security as a design philosophy, we can protect these databases at a much lower cost and with fewer challenges than we currently face with the Internet.

In this Perspective, the authors aim to outline some potential quality assurance and security weaknesses in existing public biological repositories. In section Background: Problems With Public Biological Databases we provide a discussion of errors present in public biological databases and discuss possible security vulnerabilities inherent in their access, publication, and distribution models and systems. Both unintentional and intentional errors are discussed, the latter of which has not been given significant consideration in literature (Moussouni and Berti-Équille, 2013). In section Approaches for Improving Biological Databases, we attempt to introduce greater trust in the data and analyses by providing recommendations to mitigate or account for these errors and vulnerabilities and point to approaches used by other Internet databases. Finally, in section Preliminary Conclusions, we summarize our recommendations.

This Perspective focuses on databases which contain public and freely available data. We recognize that other biological databases exist which contain private, sensitive, or otherwise valuable data (e.g., human genomes). While unauthorized disclosure is not a formal concern in public, non-human databases, safeguarding against intentional or unintentional erroneous content is. Some approaches have been proposed to protect unauthorized disclosure (Kim and Lauter, 2015; Mandal et al., 2018; Ozercan et al., 2018) and, while we don't survey these approaches in this perspective, we note that the public database community may benefit from these ideas as well.

Notes

This presentation is faithful to the original, with only a few minor changes to presentation, grammar, and punctuation. In some cases important information was missing from the references, and that information was added. The footnote in the original material were turned into an inline references for this version.