A metadata-driven approach to data repository design

Harvey, Matthew; McLean, Andrew; S., Rzepa Henry

doi:10.1186/s13321-017-0190-6

Cited by 30 publications

(25 citation statements)

References 15 publications

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“…Intrinsic reaction coordinates (IRCs) were used to define the start and end species of all transition states. Research data management (RDM) is via deposition into a collection-based data repository 28 where access is via the appropriate FAIR data DOI. 29 …”

Section: Methodsmentioning

confidence: 99%

Mechanistic insights into boron-catalysed direct amidation reactions

et al. 2018

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Section: Methodsmentioning

confidence: 99%

Mechanistic insights into boron-catalysed direct amidation reactions

et al. 2018

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“…Further metadata is also generated in a workflow manner (Figure S5), as implemented in the data repository. 25 A minimal set would include the following:The ORCID identifier for the depositor along with any further such identifiers for appropriate collaborators. For the repository, 28 we use ORCID as an intrinsic part of the login process and so its inclusion in the metadata records is automatic, as is the affiliation of the depositor.The deposition date and time are also recorded automatically, together with the identity of the formal publisher of the data, which can be the research institution as in the example here.A title and description are recorded, these being part of the Dublin Core metadata elements.…”

Section: Results and Discussionmentioning

confidence: 99%

Workflows Allowing Creation of Journal Article Supporting Information and Findable, Accessible, Interoperable, and Reusable (FAIR)-Enabled Publication of Spectroscopic Data

Barba¹,

Dominguez²,

Cobas³

et al. 2019

ACS Omega

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There is an increasing focus on the part of academic institutions, funding agencies, and publishers, if not researchers themselves, on preservation and sharing of research data. Motivations for sharing include research integrity, replicability, and reuse. One of the barriers to publishing data is the extra work involved in preparing data for publication once a journal article and its supporting information have been completed. In this work, a method is described to generate both human and machine-readable supporting information directly from the primary instrumental data files and to generate the metadata to ensure it is published in accordance with findable, accessible, interoperable, and reusable (FAIR) guidelines. Using this approach, both the human readable supporting information and the primary (raw) data can be submitted simultaneously with little extra effort. Although traditionally the data package would be sent to a journal publisher for publication alongside the article, the data package could also be published independently in an institutional FAIR data repository. Workflows are described that store the data packages and generate metadata appropriate for such a repository. The methods both to generate and to publish the data packages have been implemented for NMR data, but the concept is extensible to other types of spectroscopic data as well.

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“…Both containers and data sets get a unique persistent object identifier. A similar data repository design has been implemented at the Imperial College London (Harvey et al 2017). This way we enable crediting of shared data for individual data sets as well as for collections of data stored in respective containers according to standard practice (Smith et al 2016;Martone 2014).…”

Section: Research Data Archive Fdatmentioning

confidence: 99%

Managing collaborative research data for integrated, interdisciplinary environmental research

et al. 2020

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The consistent management of research data is crucial for the success of long-term and large-scale collaborative research. Research data management is the basis for efficiency, continuity, and quality of the research, as well as for maximum impact and outreach, including the long-term publication of data and their accessibility. Both funding agencies and publishers increasingly require this long term and open access to research data. Joint environmental studies typically take place in a fragmented research landscape of diverse disciplines; researchers involved typically show a variety of attitudes towards and previous experiences with common data policies, and the extensive variety of data types in interdisciplinary research poses particular challenges for collaborative data management. In this paper, we present organizational measures, data and metadata management concepts, and technical solutions to form a flexible research data management framework that allows for efficiently sharing the full range of data and metadata among all researchers of the project, and smooth publishing of selected data and data streams to publicly accessible sites. The concept is built upon data type-specific and hierarchical metadata using a common taxonomy agreed upon by all researchers of the project. The framework's concept has been developed along the needs and demands of the scientists involved, and aims to minimize their effort in data management, which we illustrate from the researchers' perspective describing their typical workflow from the generation and preparation of data and metadata to the long-term preservation of data including their metadata.

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A metadata-driven approach to data repository design

Cited by 30 publications

References 15 publications

Mechanistic insights into boron-catalysed direct amidation reactions

Mechanistic insights into boron-catalysed direct amidation reactions

Workflows Allowing Creation of Journal Article Supporting Information and Findable, Accessible, Interoperable, and Reusable (FAIR)-Enabled Publication of Spectroscopic Data

Managing collaborative research data for integrated, interdisciplinary environmental research

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