Data Stewardship – addressing disciplinary data management needs

Teperek, Marta; Cruz, María Jesús; Verbakel, Ellen; Böhmer, Jasmin; Dunning, Alastair

doi:10.31219/osf.io/5w9pj

Cited by 5 publications

(5 citation statements)

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“…A total of 46 people took part in the survey, with a total of 55 pain points being described. As shown in Figure 2, of these 46 people, five self-identified as only data scientists, 18 as only domain scientists, none as only data stewards (as defined in [7]), 12 as domain scientists and data scientists, and five as domain scientists and data scientists and data stewards. As shown in Figure 3, of these 46 people, five are involved only in wind farm planning, seven only in wind farm operation, two only in wind turbine design, eight in multiple lifecycle phases and 24 in R&D (21 of which work in multiple lifecycle phases).…”

Section: General Resultsmentioning

confidence: 99%

A use-case-driven approach for demonstrating the added value of digitalisation in wind energy

Barber

Sempreviva

Sheng

et al. 2023

J. Phys.: Conf. Ser.

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Digitalisation is one of the key drivers for reducing the costs and risks of wind energy. When considering whether to embark on a digitalisation initiative, two key questions arise. The first is what business or operational opportunities might feasibly be addressed and the second is which of the many potential aspects of digitalisation are relevant to those opportunities. In this work, we show how these questions can be answered with a use-case-driven approach, based around a survey aiming to collect and collate the main ”pain points” (or everyday challenges) of people in the wind energy sector. Although the relatively low number of participants of the survey (46) means that the results should only be used indicatively, it is still possible to make some general recommendations for priorities for digitalisation efforts in the wind energy sector. Firstly, digitalisation efforts should focus both on supporting people carrying out cross-lifecycle tasks, in particular sharing data, managing data, undertaking general data analyses and accessing data. Tools to do this should deal with varying data formats and naming conventions, make metadata more accessible, define data and metadata standards, make more data publicly available and improve the quality of data. Secondly, efforts should also focus on supporting people in the wind farm operational phase, in particular with failure detection, fault diagnosis, failure rate modelling and predictive maintenance. Solutions to do this should focus on accessible and validated tools for fault detection, cloud or other data pipeline solutions for SCADA data and tools for exhaustive data documentation. Finally, digitalisation efforts should focus on better communicating and helping people become aware of existing solutions and tools, as well as on helping people to exert a stronger influence on possible solutions.

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Section: General Resultsmentioning

confidence: 99%

A use-case-driven approach for demonstrating the added value of digitalisation in wind energy

Barber

Sempreviva

Sheng

et al. 2023

J. Phys.: Conf. Ser.

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“…Ultimately, we perhaps need a new model of careers in biocuration (especially for those individuals for whom biocuration is their primary role), such as those being developed for Research Software Engineers 18 , 19 and Data Stewards 20 . In these settings, centralised teams of research software engineers or data stewards have been created, and this has led to improved knowledge exchange, peer support and career sustainability 19 , 20 . For example, within a University environment, a pool of dedicated biocurators could be created, ready to be deployed where need and experience allows, and supported with local funding, so the biocurators themselves have job security.…”

Section: Discussion and Recommendationsmentioning

confidence: 99%

Biocuration - mapping resources and needs

et al. 2020

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Background: Biocuration involves a variety of teams and individuals across the globe. However, they may not self-identify as biocurators, as they may be unaware of biocuration as a career path or because biocuration is only part of their role. The lack of a clear, up-to-date profile of biocuration creates challenges for organisations like ELIXIR, the ISB and GOBLET to systematically support biocurators and for biocurators themselves to develop their own careers. Therefore, the ELIXIR Training Platform launched an Implementation Study in order to i) identify communities of biocurators, ii) map the type of curation work being done, iii) assess biocuration training, and iv) draw a picture of biocuration career development. Methods: To achieve the goals of the study, we carried out a global survey on the nature of biocuration work, the tools and resources that are used, training that has been received and additional training needs. To examine these topics in more detail we ran workshop-based discussions at ISB Biocuration Conference 2019 and the ELIXIR All Hands Meeting 2019. We also had guided conversations with selected people from the EMBL-European Bioinformatics Institute. Results: The study illustrates that biocurators have diverse job titles, are highly skilled, perform a variety of activities and use a wide range of tools and resources. The study emphasises the need for training in programming and coding skills, but also highlights the difficulties curators face in terms of career development and community building. Conclusion: Biocurators themselves, as well as organisations like ELIXIR, GOBLET and ISB must work together towards structural change to overcome these difficulties. In this article we discuss recommendations to ensure that biocuration as a role is visible and valued, thereby helping biocurators to proceed with their career.

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“…These services typically provide researchers with data management planning support, data management training opportunities, and some also provide curation services by which researchers can share their data (Tenopir et al 2014;Bryant, Lavoie, B & Malpas, C 2017). Some of these research data management services are geared towards domain expertise or have domain experts within them (Wittenberg, Sackmann & Jaffe 2018;Teperek et al 2018), and thus can provide more targeted data management training and support for researchers. For example, at Virginia Tech the research data management service is staffed with PhDs from engineering, social sciences, biological sciences and geosciences (Ogier et al 2018).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Targeted Data Management Training for Field Research Projects – A Case Study

Petters

Brooks

Smith

et al. 2019

Data Science Journal

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We present a joint effort at Virginia Tech between a research group in the Department of Fish and Wildlife Conservation and Data Services in the University Libraries to improve data management for long-term ecological field research projects in the Florida Panhandle. Consultative research data management support from Data Services in the University Libraries played an integral role in the development of the training curriculum. Emphasizing the importance of data quality to the field workers at the beginning of this training curriculum was a vital part of its success. Also critical for success was the research group's investment of time and effort to work with field workers and improve data management systems. We compare this case study to three others in the literature to compare and contrast data management processes and procedures. This case study serves as one example of how targeted training and efforts in data and project management for a research project can lead to substantial improvements in research data quality.

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Data Stewardship – addressing disciplinary data management needs

Cited by 5 publications

References 0 publications

A use-case-driven approach for demonstrating the added value of digitalisation in wind energy

A use-case-driven approach for demonstrating the added value of digitalisation in wind energy

Biocuration - mapping resources and needs

The Impact of Targeted Data Management Training for Field Research Projects – A Case Study

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