- Transfer sql prompt license same machine different profile license#
- Transfer sql prompt license same machine different profile free#
Researchers are often advised to follow the principles defined in Michener to write a good and comprehensive DMP. the National Science Foundation (NSF) in the USA, the European Commission in Europe, or the National Research Foundation (NRF) in South Africa” (Miksa, Neish, Walk and Rauber ). “Data management plans are required by funding bodies and institutions all over the world, e.g. Section 7 presents conclusions and future work. Section 6 presents adoptions of the application profile. Section 5 provides discussion on the application profile, design decisions made, etc. Section 4 describes the application profile using an example of a minimal maDMP. Section 3 describes how the application profile was developed. In Section 2 we describe the related work. The following sections of this paper are structured as follows. This is the first paper describing in a holistic way all the work done to release the official version of the application profile for machine actionable DMPs (Miksa, Walk and Neish ), as well as its adoptions. We also present a range of services adopting the application profile as examples of how it can be used to create value for stakeholders. We describe the motivation and rationale behind design decisions made. We present the research conducted and methodology used to define it. In this paper, we describe the application profile for machine-actionable DMPs developed by the DMP Common Standards working group. The Research Data Alliance (RDA) recognised the importance of making DMPs machine-actionable and established the DMP Common Standards 2 working group to develop an application profile allowing for “automatic exchange, integration, and validation of information provided in DMPs and facilitating the exchange of information between systems acting on behalf of stakeholders involved in the research life cycle” (Miksa, Walk and Neish ). The application profile is the focus of this paper and can be defined as a metadata design specification that uses a selection of terms from multiple metadata vocabularies, with added constraints, to meet application-specific requirements. The basic framework requires: (i) an application profile for representing information in a common way (ii) services that can provide and use this information in an automated way. To realise the vision of machine-actionable DMPs (maDMPs) as a way to exchange and act on information about data used and produced by researchers, we need all stakeholders to collaborate and synchronise their efforts.
Transfer sql prompt license same machine different profile license#
Similarly, information from DMPs can be used to trigger actions, for example, the license and embargo selected by a researcher can be used to automatically fill out information on data deposited into a repository. An example would be a repository setting information on backup strategy and preservation policy in response to a data steward choosing that particular repository for data deposit. The added value is created when the data is automatically collected as well as re-used by systems acting on behalf of stakeholders. Breaking the information down into specific fields creates added value to all stakeholders in the research data lifecycle such as researchers and funders, but also data stewards, repository operators, etc. However, this information must be complimented by a machine-actionable representation consisting of atomised, structural data.
Transfer sql prompt license same machine different profile free#
This in turn has impact on the quality of DMPs, because questions remain unanswered, or the free text answers are copied between DMPs for different projects, and lack specific details.ĭMPs should continue to be presented in a human-readable way. This is because answering specific questions requires special knowledge or the information requested overlaps with data previously submitted elsewhere. However, DMPs are often perceived by researchers as an annoying administrative exercise that does not support data management activities (Smale et al.
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The existing practice of writing DMPs is primarily driven by research funders who consider DMPs not only to be planning, but also a steering and evaluation tool. “They describe the data that is used and produced during the course of research activities, where the data will be archived, which licenses and constraints apply, and to whom credit should be given” (Miksa, Simms, Mietchen and Jones ).
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Data Management Plans (DMPs) are documents that accompany research proposals and project outputs.