Managing research data

Baykoucheva, Svetla

doi:10.1016/b978-0-08-100195-0.00009-3

Cited by 2 publications

(1 citation statement)

References 29 publications

(37 reference statements)

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“…Another reason for diving further into RDM is that the development of RDM also sheds light upon a complex reality of managing the (laboratory) resources needed for the production, preservation, and dissemination of scientific knowledge (Baykoucheva, 2000;Goecks et al, 2010).…”

Section: Introduction Chaptermentioning

confidence: 99%

Research data management for open science

Lefebvre¹

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scientific artifacts during the whole research lifecycle, from data creation to publication of results (Simms et al., 2016).Likewise, academic stakeholders, such as public funders and library services, tend to agree that scientific practices such as those listed earlier, need a response from a research governance point of view. For instance, several public funders get more involved at the start of research projects by implementing more stringent rules for managing research data (Akers, 2017; European Commission, 2016b). These new requirements from funders led to universities' efforts to invest in research data management with technology, human resources, and training to support researchers 1 Data from Digital Science, Dimensions, available from https://app.dimensions.ai and accessed on July 8, 2020, under a license agreement.Chapter outcomes of proper data management from the start of a research project. One side-effect is that datasets can also become the target of quantitative analysis of the publication landscape.

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Section: Introduction Chaptermentioning

confidence: 99%

Research data management for open science

Lefebvre¹

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Dialogic interaction with diversified audiences in Twitter for Research Dissemination Purposes

Oliva

Mur-Dueñas

2022

Círc. lingüíst. apl. comun.

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International research groups are expected to ensure global dissemination and visibility of their knowledge production, for which Twitter is effectively employed to reach diversified audiences. This paper analyses the dialogic dimension of tweets published in accounts of Horizon2020 research projects, where group’s productivity and work are promoted, and multiple readers addressed. Our study focuses on the use, in these Twitter accounts, of interactional pragmatic strategies, their verbal realisation through engagement markers, as well as on medium affordances and non-verbal markers. A sample of 1.454 tweets from 10 accounts of the EUROPROtweets corpus were coded and analysed through NVivo. The data-driven pragmatic analysis triggered the identification of 8 interactional strategies. We then quantitatively analysed the use of engagement makers and qualitatively studied the characteristic non-verbal markers with a dialogic function within each of these. Our findings will help understand the complexities of current digital academic professional practices, especially as regards the dynamics of dialogic interaction in social media.

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Managing research data

Cited by 2 publications

References 29 publications

Research data management for open science

Research data management for open science

Dialogic interaction with diversified audiences in Twitter for Research Dissemination Purposes

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