Description
Data, scholarly information about their exploitation from publications and all kinds of identifiers need to be interlinked to provide an ecosystem that is machine-actionable and ”FAIR”-enough. Thus, the session will be used to discuss possible approaches on such interlinking and interactions. The status of affairs in each of the related areas will be reviewed and views on their interlinking will be proposed. For example, Knowledge Graphs provide structured information and means to interconnect different types of research artefacts (e.g. publications, data, software, samples, instruments). Whereas Data Management Plans provide information about the data itself and where they are stored. Persistent identifiers are also crucial in providing unique means for registration, findability and provenance of such artefacts. Experts will reflect on the interlinking of all these topics and on policy approaches for their harmonisation and interoperability.
This talk summarizes 10 years of experience – successes and bottlenecks – with the linking of journal articles and datasets (with a brief excursus on the linking ecosystems of publishers). The publisher’s early attempts at enabling “executable research compendia” offer a peek into what will be expected of the global e-infrastructure.
Persistent identifiers and their associated metadata form a graph. This presentation will introduce the PID Graph developed by DataCite and will discuss how the community can both contribute and benefit from this important infrastructure.
In this talk I will outline the key differences between traditional DMPs and machine-actionable DMPs. You will get to know what the current status is and in what way maDMPs can improve the current practice of research data management.
