Preparing data managers to support open ocean science: Required competencies, assessed gaps, and the role of experiential learning

Wilson, Lee; Colborne, Adrienne; Smit, Michael

doi:10.1109/bigdata.2017.8258412

Cited by 6 publications

(3 citation statements)

References 30 publications

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“…To determine whether a resource can be used , a searcher should be able to identify the extent to which data have been processed and the format the data are in. A dataset summary should not be so specific as to give file formats that may change with versioning ( Data on the Web Best Practices , n.d.), but it should be possible to provide an understanding of data structure such that users will know whether they have the technical expertise to use them (Wilson et al, 2017).…”

Section: Resultsmentioning

confidence: 99%

Toward Best Practices for Unstructured Descriptions of Research Data

Phillips

Smit

2021

Proceedings of the Association for Information Science and Tech

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Achieving the potential of widespread sharing of open research data requires that sharing data is straightforward, supported, and well-understood; and that data is discoverable by researchers. Our literature review and environment scan suggest that while substantial effort is dedicated to structured descriptions of research data, unstructured fields are commonly available (title, description) yet poorly understood. There is no clear description of what information should be included, in what level of detail, and in what order. These human-readable fields, routinely used in indexing and search features and reliably federated, are essential to the research data user experience. We propose a set of high-level best practices for unstructured description of datasets, to serve as the essential starting point for more granular, discipline-specific guidance. We based these practices on extensive review of literature on research article abstracts; archival practice; experience in supporting research data management; and grey literature on data documentation. They were iteratively refined based on comments received in a webinar series with researchers, data curators, data repository managers, and librarians in Canada. We demonstrate the need for information research to more closely examine these unstructured fields and provide a foundation for a more detailed conversation.

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Section: Resultsmentioning

confidence: 99%

Toward Best Practices for Unstructured Descriptions of Research Data

Phillips

Smit

2021

Proceedings of the Association for Information Science and Tech

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“…In addition to those who reported on their own need for training or additional skills development, Tenopir et al (2020) suggest that some people working with data may not understand that they need support or know where to look for it. (Ridsdale et al, 2015) and which are most useful for making use of open data (Smit et al, 2018) or in specific fields (Wilson et al, 2017) The potential misuses can be organized along a spectrum of severity, and the misuses can be intentional or incidental. While some articles frame this as concern about loss of control, we suggest a more accurate synthesis of the concerns is a loss of certainty: acknowledgment of the risk of data being used in ways the researcher does not approve of.…”

Section: Real or Perceived Skill And Knowledge Gapsmentioning

confidence: 99%

Individual Perspectives on Data Sharing: Human Factors Impacting the Digital Economy

Smit¹,

Larose²,

Falvey³

et al. 2022

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“…Ideally, librarians must provide their users with solutions to those technical difficulties that have been solved in the GIS (Geographic Information System) community, like scales, longitude, latitude, areas of interest with no-well defined boundaries (eg, Mediterranean Sea) [20][21] . This need recognises the potential that librarians can offer and hence the need to develop their skills in ocean data management [22][23] by associating the EU INSPIRE directive coverages with OGC/ ISO coverage standards [24][25][26]27 . It must be taken into account that around 60% of the data managed by organisations are geographic data 28 , and that Spain is a regular contributor to the statistics of OWS found by crawlers 29 .…”

Section: Literature Reviewmentioning

confidence: 99%

Open Standards used in Oceanography Research Spatial Data Repositories in Spain

Wulff

2020

DESIDOC Jl. Lib. Info. Technol.

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Spatial data repositories specialised in geographic information systems (GIS) are an extension of map libraries and archives where much of the increase in use and citation for its geo-spatial data comes from making them available through Open Geospatial Consortium (OGC) web services. In this paper, resource needs and teaching perspectives of these open standards will be described and explained as they have become a domain of application in spatial data repositories and, marine data literacy. The research is based on checking ocean research data rules and contexts in Spain within the European obligations as defined by the EU directive INSPIRE. On that premise, Spanish spatial data infrastructures (SDI) are shown integrating OGC Web Services (OWS) with repositories for ocean observation data, a typical kind of big data. The study revealed that the broad European support to the big data open standards (OGC) implementation in the oceanographic community, is conducted with a model suitable for library management systems. However, Spanish participation in European ocean data spaces is limited and a likely explanation is that this question has not been discussed for about a decade. These findings strengthen the links between spatial data repositories and OGC standards, to identify requirements for interoperability work.

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Preparing data managers to support open ocean science: Required competencies, assessed gaps, and the role of experiential learning

Cited by 6 publications

References 30 publications

Toward Best Practices for Unstructured Descriptions of Research Data

Toward Best Practices for Unstructured Descriptions of Research Data

Individual Perspectives on Data Sharing: Human Factors Impacting the Digital Economy

Open Standards used in Oceanography Research Spatial Data Repositories in Spain

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