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Open Science, Open Data, Open Source

Pedro L. Fernandes

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The goal of these resources is to give a bird's eye view of the developments in open scientific research. That is, we cover both social developments (e.g. the culture in various communities) as well as technological ones. As such, no part of the contents are especially in-depth or geared towards advanced users of specific practices or tools. Nevertheless, certain sections are more relevant to some people than to others. Specifically: The most interesting sections forGraduate studentswill be aboutnavigating the literature,managing evolving projects, andpublishing and reviewing. Lab techniciansmay derive the most benefit from the sections aboutcapturing data,working with reproducibility in mindandsharing data. Fordata scientists, the sections onorganizing computational projects as workflows,managing versions of data and source code,open source software development, anddata representationwill be most relevant. Principal investigatorsmay be most interested in the sections ondata management,data sharing, andcoping with evolving projects. Scientific publishersmay be interested to know how scientistsnavigate the literature, what the expectations are forenhanced publications, and the needs fordata publishing. Science funders and policy makersmay easily find value in thecapturing data,data management,data sharingandnavigating the literature. Science communicatorsmay be more interested in exploring the content by starting withnavigating the literature,working with reproducibility in mindandsharing data.

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