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Data management challenges in analysis and synthesis in the ecosystem sciences

Specht, A., Guru, S., Houghton, L., Keniger, L., Driver, P., Ritchie, E.G., Lai, K. and Treloar, A. 2015, Data management challenges in analysis and synthesis in the ecosystem sciences, Science of the total environment, vol. 534, pp. 144-158, doi: 10.1016/j.scitotenv.2015.03.092.

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Title Data management challenges in analysis and synthesis in the ecosystem sciences
Author(s) Specht, A.
Guru, S.
Houghton, L.
Keniger, L.
Driver, P.
Ritchie, E.G.ORCID iD for Ritchie, E.G. orcid.org/0000-0003-4410-8868
Lai, K.
Treloar, A.
Journal name Science of the total environment
Volume number 534
Start page 144
End page 158
Total pages 15
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2015-11-15
ISSN 1879-1026
Keyword(s) Data Management Plan
Data visualisation
Data workflow
Metadata
Synthesis Centre
Transdisciplinary
Science & Technology
Life Sciences & Biomedicine
Environmental Sciences
Environmental Sciences & Ecology
BIG DATA
SCIENTISTS
ECOLOGY
COMMERCIALIZATION
AUSTRALIA
Summary Open-data has created an unprecedented opportunity with new challenges for ecosystem scientists. Skills in data management are essential to acquire, manage, publish, access and re-use data. These skills span many disciplines and require trans-disciplinary collaboration. Science synthesis centres support analysis and synthesis through collaborative 'Working Groups' where domain specialists work together to synthesise existing information to provide insight into critical problems. The Australian Centre for Ecological Analysis and Synthesis (ACEAS) served a wide range of stakeholders, from scientists to policy-makers to managers. This paper investigates the level of sophistication in data management in the ecosystem science community through the lens of the ACEAS experience, and identifies the important factors required to enable us to benefit from this new data-world and produce innovative science. ACEAS promoted the analysis and synthesis of data to solve transdisciplinary questions, and promoted the publication of the synthesised data. To do so, it provided support in many of the key skillsets required. Analysis and synthesis in multi-disciplinary and multi-organisational teams, and publishing data were new for most. Data were difficult to discover and access, and to make ready for analysis, largely due to lack of metadata. Data use and publication were hampered by concerns about data ownership and a desire for data citation. A web portal was created to visualise geospatial datasets to maximise data interpretation. By the end of the experience there was a significant increase in appreciation of the importance of a Data Management Plan. It is extremely doubtful that the work would have occurred or data delivered without the support of the Synthesis centre, as few of the participants had the necessary networks or skills. It is argued that participation in the Centre provided an important learning opportunity, and has resulted in improved knowledge and understanding of good data management practices.
Language eng
DOI 10.1016/j.scitotenv.2015.03.092
Field of Research 060299 Ecology not elsewhere classified
Socio Economic Objective 970106 Expanding Knowledge in the Biological Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30077015

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Created: Mon, 14 Dec 2015, 13:03:56 EST

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