2017
DOI: 10.1038/nplants.2017.86
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Data management and best practice for plant science

Abstract: Policies that encourage Open Data are gaining support around the globe, and are now enforced by prominent funders and publishers including the Nature group and the Gates foundation [1-3]. This has enormous potential for transforming the production, management, and dissemination of scientific knowledge, particularly by enabling researchers to interrogate and re-use existing datasets [4, 5]. However, realising this potential is not straightforward [6]. As in other scientific domains, plant scientists across the … Show more

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Cited by 40 publications
(43 citation statements)
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“…One example is the famous eGFP browser which provides the content of RNA-Seq datasets in a simple way to biologists. The alternative would be downloading and analysing raw RNA-Seq datasets from the Sequence Read Archive (SRA) which would Further, it has to be considered that specific fields require the integration of data of various types, formats and abundance (21) which is hard to realise by a single database and therefore requires cooperation to encourage data reuse. Here, we focus on the reuse of primary data, specifically different sequences as the data type characteristic of the life sciences and continuously producing vast amounts of information.…”
Section: Types Of Reusable Datamentioning
confidence: 99%
“…One example is the famous eGFP browser which provides the content of RNA-Seq datasets in a simple way to biologists. The alternative would be downloading and analysing raw RNA-Seq datasets from the Sequence Read Archive (SRA) which would Further, it has to be considered that specific fields require the integration of data of various types, formats and abundance (21) which is hard to realise by a single database and therefore requires cooperation to encourage data reuse. Here, we focus on the reuse of primary data, specifically different sequences as the data type characteristic of the life sciences and continuously producing vast amounts of information.…”
Section: Types Of Reusable Datamentioning
confidence: 99%
“…Strong efforts are being made towards data interoperability and standardized data and metadata formats . Guidelines for data storage and management are actively being published with a focus on open standards . In this article we will detail methods to manage medium‐to‐large acquired datasets within the laboratory, with a focus on storing data for automated analysis.…”
Section: Standardized Data Enable Automated Processingmentioning
confidence: 99%
“…Data production, Images, Source Code etc). As such, COPO directly addresses the Accessible and Interoperable tenets of FAIR 14 . This has been achieved by developing wizards built into a web-based platform to allow users to describe their data without having to resort to complex spreadsheets, multiple redundant data descriptions when handling multiple research object entities, or multiple submissions to different repositories.…”
Section: Researchers Need Help To Biocuratementioning
confidence: 99%