Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Report . 2022
License: CC BY
Data sources: Datacite
ZENODO
Report . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Human Genomes Platform Project: DAC Automation Discovery Phase Report

Authors: Carnuccio, Patrick; Cowley, Mark; Davies, Kylie; Druken, Kelsey; Holliday, Jessica; Kummerfeld, Sarah; Monro, David; +7 Authors

Human Genomes Platform Project: DAC Automation Discovery Phase Report

Abstract

The Human Genomes Platform Project (HGPP) is an Australian nationally-funded collaborative research project aiming to enhance capability for securely and responsibly sharing human genomics research data. National and international connectivity will maximise the utility of these sensitive and valuable assets. A major challenge to human genome data sharing is navigating restrictions on secondary use. Decisions on how and to whom to grant access to data require significant human effort by DAC (Data Access) Committees. This manual approach is slow and burdensome. The aims of the DAC Automation sub-project are to explore a new data access request and approval paradigm driven by automation for the national human genome research community. The initial focus of the DAC Automation sub-project team was a discovery and recording phase to define the current state of data access requests and data sharing agreements within the community, the set of problems that need to be addressed, and key sub-project areas and their (likely) requirements. The DAC Automation Discovery Phase Report (this document) records: the current state of processes and tools for data access requests and data sharing across the community, national community needs, gap analysis, and identification of international projects with potential solution components for piloting in later project stages.This document will be the reference for planning the pilot for a system that addresses prioritised requirements to create a Minimum Viable Product (MVP). The Australian human genome research community has many connections to consortia in Europe and the USA, but retains the need to work independently, according to our own national requirements and guidelines. International readers, particularly those who are outside Europe and the US, may find this discovery report useful for reference in their own human genome research data sharing program efforts.

Keywords

Ethics, Data Access Application, BAM, Data Sharing, Governance, Data Access Control, Research, Data Policy, DUOS, Human Genomics, Technology platform, Automation, Data Access Requests, REMS, Technology Infrastructure, Data Access Committee, Principal Investigator

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 51
    download downloads 39
  • 51
    views
    39
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
51
39
Green