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The Intellectual Property Management for Data Sharing in a German Liver Cancer Research Network
Shan He, MaChias Ganzinger, Petra Knaup InsFtute for Medical Biometry and InformaFcs
Medical InformaFcs SecFon
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
• efficient and reliable data storage
• plaLorm for data sharing • benefits
– efficient use of research resources – avoiding duplicate experiments or trials – gathering adequate sample sizes – rapid release of prepublicaFon data
introducFon background
methods results
discussion
IntroducFon biomedical research network
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
Projektstandort:
SFB/TRR77 -‐ Liver Cancer From Molecular Pathogenesis to Targeted Therapies
Research Area A From Chronic Liver Disease to Tumor
FormaFon
Research Area C Novel Approaches to
Therapy
Project Area Z Central Projects of the SFB/TRR77
Project B1
Project B2
Project B5
Project B3
Project B7
Project B6
Project B4
Project B8
Project A1
Project A2
Project A5
Project A3
Project A7
Project A6
Project A4
Project C1
Project C2
Project C5
Project C3
Project C7
Project C4
Project Z1
Project Z2
Research Area B Basic Molecular
Mechanisms / Novel Targets
Associated Project
TRR 77 is funded by the German
Research FoundaFon (DFG)
Heidelberg Hannover
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
www.livercancer.de
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
Methods
• survey among all 22 projects of network (TRR) – potenFal of data sharing – concerns
• interviews with project leaders • literature review on promoFng data sharing • development of a concept within a Service Oriented Architecture (SOA)
introducFon background methods
results discussion
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
Results
• surveys and interviews – current data sharing paCerns
• known colleagues • negoFated on an individual basis • based on mutual trust and interest
– concerns • data confidenFality • access control issues
introducFon background
methods results
discussion
à difficulty of geang proper acknowledgement for data contribuFon
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
no answer
21%
Who would be interested in your data?
a number of TRR projects
57%
all TRR projects 22%
Results Survey (n=19, 14 projects)
0
2
4
6
8
10
12
Would you provide your data in a common TRR informaGon system?
56% 44%
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
yes, no sharing 11%
yes, access for all TRR 5%
Yes, TRR on request 67%
no, anybody can access my
data. 6%
no answer / depends 11%
Are you concerned about the confidenGality of your data?
8
Results Survey (n=19, 14 projects)
introducFon background
methods results
discussion
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
Literature Review • intellectual property issues of data sharing
ànot unique in biomedical domain
• previous efforts in biomedicine mostly policy level strategiesà prerequisite for funding
• mandatory data sharing does not address major concerns à give credit to invesFgators
• Idea in literature: share metadata only ànot distribute the data set itself
introducFon background
methods results
discussion
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
Key System Requirements for Intellectual Property Management
• enable data producers to track who is accessing their data for what purpose
metadata collecFon
• providing data consumers a formal and easy way to acknowledge data producers
data citaFon
• allowing impact of data set to be tracked
• establishing policies that recognize and reward data producers
incenFves for data sharing
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
Metadata CollecFon
• metadata for – data queries from data consumers
• project descripFon • research quesFon or hypothesis • expected Fmeline
– data sets generated by data producers • brief descripFon of data source • related data sharing policies à e.g. ‚Are review process and approval required before data are released to requester?‘
introducFon background
methods results
discussion
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
Data CitaFon
• review process for sensiFve data sets à approve or deny data requests
• data consumer has to agree on data citaFon statement
• ciFng data in the same way as arFcles and books – digital object idenFfier (DOI) allocated – standard metadata scheme for proper data citaFon
introducFon background
methods results
discussion
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
IncenFves for Data Sharing
• tracking the impact of a data set via unique ID
• establishing policies that recognize and reward data producers
• high impact data set may be basis – funding renewal – searching for financial support
introducFon background
methods results
discussion
Medical Informatics Petra Knaup Medical Informatics Petra Knaup
workflow for data registraFon and access in SFB/TRR 77
TRR
Medical Informatics Petra Knaup
Discussion and Future Work
• integrate data citaFon idea from other domains to TRR
• novel approach – easy data citaFon – metadata collecFon – incenFve strategies
• not sufficient to avoid intenFonal data plagiarism
introducFon background
methods results
discussion
Take home message
• data sharing in biomedical research • researchers are concerned
about getting credit • IT platforms for research
networks should support – metadata for
• queries • data sets
– easy data citation – tracking impact of a data set