Data Management of Sensitive Human Proteomics Data: Current Practices, Recommendations, and Perspectives for the Future

Autor: Lennart Martens, Eric W. Deutsch, Oliver Kohlbacher, Nuno Bandeira, Juan Antonio Vizcaíno
Rok vydání: 2021
Předmět:
Proteomics
Information privacy
Computer science
Data management
NIST
National Institute of Standards and Technology

Biochemistry
PSM
Peptide Spectrum Match

Field (computer science)
Analytical Chemistry
NIH
National Institutes of Health

HIPAA
Health Insurance Portability and Accountability

DIA
Data Independent Acquisition

SMEs
Small and Medium-sized Enterprises

GEO
Gene Expression Omnibus

Data Management
mass spectrometry
media_common
0303 health sciences
Variant Call Format
030302 biochemistry & molecular biology
EGA
European Genome-phenome Archive

GA4GH
Global Alliance for Genomics and Health

3. Good health
DAC
Data Access Committee

General Data Protection Regulation
Perspective
CPTAC
Clinical Proteome Tumor Analysis Consortium

HCD
Higher-energy collisional dissociation

SAAVs
Single Amino Acid Variants

Personally identifiable information
Confidentiality
policy
dbGAP
database of Genotypes and Phenotypes

IRB
Institutional Review Board

databases
JGA
Japanese Genotype-phenotype Archive

VCF
Variant Call Format

EBI
European Bioinformatics Institute

AD
Alzheimer’s disease

GDPR
General Data Protection Regulation

03 medical and health sciences
PRM
Parallel Reaction Monitoring

Humans
media_common.cataloged_instance
European union
Molecular Biology
PII
Personally Identifiable Information

SRM
Selected Reaction Monitoring

030304 developmental biology
FDR
False Discovery Rate

MS
Mass Spectrometry

Information Dissemination
business.industry
controlled access data
ethics
Data science
PTM
Posttranslational Modification

ComputingMethodologies_PATTERNRECOGNITION
DDA
Data-Dependent Acquisition

business
Zdroj: Molecular & Cellular Proteomics
Molecular & Cellular Proteomics : MCP
ISSN: 1535-9476
DOI: 10.1016/j.mcpro.2021.100071
Popis: Today it is the norm that all relevant proteomics data that support the conclusions in scientific publications are made available in public proteomics data repositories. However, given the increase in the number of clinical proteomics studies, an important emerging topic is the management and dissemination of clinical, and thus potentially sensitive, human proteomics data. Both in the United States and in the European Union, there are legal frameworks protecting the privacy of individuals. Implementing privacy standards for publicly released research data in genomics and transcriptomics has led to processes to control who may access the data, so-called “controlled access” data. In parallel with the technological developments in the field, it is clear that the privacy risks of sharing proteomics data need to be properly assessed and managed. In our view, the proteomics community must be proactive in addressing these issues. Yet a careful balance must be kept. On the one hand, neglecting to address the potential of identifiability in human proteomics data could lead to reputational damage of the field, while on the other hand, erecting barriers to open access to clinical proteomics data will inevitably reduce reuse of proteomics data and could substantially delay critical discoveries in biomedical research. In order to balance these apparently conflicting requirements for data privacy and efficient use and reuse of research efforts through the sharing of clinical proteomics data, development efforts will be needed at different levels including bioinformatics infrastructure, policymaking, and mechanisms of oversight.
Graphical Abstract
Highlights • Availability of proteomics data in public repositories (ProteomeXchange) has become the norm. • There are growing ethical issues and legal requirements related to human clinical proteomics data. • We review the current state of the art and provide our thoughts about some proteomics data types. • We make concrete recommendations to address these issues, summarized in four different points.
In Brief Availability of proteomics data in the public domain has become the norm, as it has been the case in genomics and transcriptomics for many years. Analogously to sequencing data, there are increasing ethical issues and legal requirements related to sensitive human clinical proteomics data. We review the current state of the art and make concrete recommendations to address these issues in the proteomics field, which are summarized in four different areas.
Databáze: OpenAIRE