data management and data sharing: an ecologists perspective€¦ · securing and sharing research...
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Data management and data sharing: An ecologists perspective
Erlend B. Nilsen (Senior Researcher, NINA)
Anders G. Finstad (Associate Professor, NTNU)
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Aiming for the impossible?
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Ecological data
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Well deveolped infrastructure for georeferenced occurence data
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But; usually ecological data sets are often more complex…
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Finstad, Nilsen & Hendrichsen, unpublished
In fact: Ecological data sets are often far more complex
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Data life cycle
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Data life cycle
Planning projects and data capture
Planning
Planning of data capture; but also long term storage and documenta>o
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Data life cycle
Data capture
Data capture
Planning
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Data life cycle
Quality controll
Outliers, missing data, etc.
Data capture
Quality controll
Planning
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Data life cycle
Documenta>on
• Make data recongizable (also for yourself!) through metadata
• Metadata standards (what is stored, and where)
Planning
Data capture
Quality controll
Documenta>on
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Planning
Data capture
Quality controll
Documenta>on
Store, secure, share
Data life cycle
• From internal data bases to external «data hubs»
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Planlegge
Samle
Quality controll
Documenta>on
Store, secure, share Rediscover
Integrate
Analyze
Data life cycle
Old data get a new life
Metaanalysis, before / aRer studies, new analys>cal tools, integra>on with climate and environmental data.
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Planning
Data capture
Quality controll
Documenta>on
Store, secure, share
Rediscover
Integrate
Analyze
Data life cycle
Hierarchical dependence: Fysical storage makes no sense without solid documenta8on
What should be preserved, and how
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Securing and sharing research data – why should scientists care? - Data synthesis and «big data»
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The world needs science that is open, reproducible and transparent
Securing and sharing research data – why should scien>sts care? -‐ Reproducibility and fraud
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Securing and sharing research data – why should scientists care? - Demand from funders
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Securing and sharing research data – why should scientists care? - Demand from journals
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Data sharing and authorship
”Authorship credit should be based on 1) substan5al contribu5ons to concep5on and design, acquisi5on of data, or analysis and interpreta5on of data; 2) dra=ing the ar5cle or revising it cri5cally for important intellectual content; and 3) final approval of the version to be published. Authors should meet condi5ons 1, 2, and 3.” (ICMJE 2010, kapi\el om Authorship) ”Acquisi5on of funding, collec5on of data, or general supervision of the research group alone does not cons5tute authorship.”
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But – unique access to data is an advantage when applying for research funding
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Positive incitaments to make data sharing valuable to the independent researchers and their institutions
• Sharing data just becasuse the funders demand it is likely to result in suboptimal documentation and data quality controll
} «It just add another burden to an allready stressed workingday»
• The current basic funding system is structured around # journal papers, grants, students etc.
• Adjusting the current funding system so that data sharing becomes valuable to the independent scientist and their institutions
} Making sure that when data is re-used in another project, the data owner/author gets credit!
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Offentlig finansierte miljødata må ivaretas og tilgjengeliggjøres Det samles inn betydelige mengder data av ulik slag i forbindelse med forskningsprosjekter og overvåking. Disse data er organisert, finansiert og ivaretatt på ulike måter. Selv om de er offentlig finansiert, er de ikke alltid tilgjengelige for andre. Dette er ikke tilfredsstillende. Det foreslås at det opprettes et prosjekt for å utarbeide retningslinjer og virkemidler for hvordan data bør sikres stabil finansiering og gjøres tilgjengelig for alle, samt for spørsmål knyttet til rettigheter og publisering.
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Summary • There is an interesting movement towards better data documentation, standardization and sharing within ecological science
} This will facilitate novel research that is needed to provide guidance for ongoing environmental changes
• There is a urgent need for better infrastructure and routines for data documentation, standardization and sharing
• Incitaments to promote data sharing in addition to demands from funders is likely to speed up the process
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Foto på side 1: P. Jordhøy, J. Thomassen, E. B. Thorstad, A. Staverløkk, T. Aarvak, B. Løken/Samfoto
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