Noel Scott, Brent Moyle, Ana Cláudia Campos, Liubov Skavronskaya and Biqiang Liu
Andrew M. Cox, Mary Anne Kennan, Liz Lyon, Stephen Pinfield and Laura Sbaffi
A major development in academic libraries in the last decade has been recognition of the need to support research data management (RDM). The purpose of this paper is to capture…
Abstract
Purpose
A major development in academic libraries in the last decade has been recognition of the need to support research data management (RDM). The purpose of this paper is to capture how library research data services (RDS) have developed and to assess the impact of this on the nature of academic libraries.
Design/methodology/approach
Questionnaire responses from libraries in Australia, Canada, Germany, Ireland, the Netherlands, New Zealand, the UK and USA from 2018 are compared to a previous data set from 2014.
Findings
The evidence supports a picture of the spread of RDS, especially advisory ones. However, future ambitions do not seem to have seen much evolution. There is limited evidence of organisational change and skills shortages remain. Most service development can be explained as the extension of traditional library services to research data. Yet there remains the potential for transformational impacts, when combined with the demands implied by other new services such as around text and data mining, bibliometrics and artificial intelligence. A revised maturity model is presented that summarises typical stages of development of services, structures and skills.
Research limitations/implications
The research models show how RDS are developing. It also reflects on the extent to which RDM represents a transformation of the role of academic libraries.
Practical implications
Practitioners working in the RDM arena can benchmark their current practices and future plans against wider patterns.
Originality/value
The study offers a clear picture of the evolution of research data services internationally and proposes a maturity model to capture typical stages of development. It contributes to the wider discussion of how the nature of academic libraries are changing.
Details
Keywords
Joshua Blockstein, Jenna H. Tilt and Beatriz Botello Salgado
This study explores how marginalized populations in high-hazard-risk areas on the Oregon coast utilize valued locations and social networks to adapt to daily challenges and…
Abstract
Purpose
This study explores how marginalized populations in high-hazard-risk areas on the Oregon coast utilize valued locations and social networks to adapt to daily challenges and natural hazards.
Design/methodology/approach
We hypothesize that locations most valued for their associated resources (community assets) also support the most social capital. Focus group discussions and a novel conceptual mapping activity were employed to identify preferred community assets and associated social capital for Latinx residents.
Findings
Community-based organizations, churches and schools are the preferred community assets found to enable strong social capital, although differences existed in which forms of structural social capital were identified. Mechanisms by which relationships are formed in this case study and implications for disaster resilience are discussed and theoretically linked to other relevant contexts.
Research limitations/implications
We provide policy recommendations to utilize community assets and social capital to support disaster resilience for marginalized populations.
Originality/value
Recruitment of participants through a community-engaged process developed trust with Latinx community members. Focus group design addressed barriers to participation to create space for diverse perspectives. By applying social capital theory to this data, actionable insights are identified to better incorporate the values and needs of marginalized groups into disaster risk reduction efforts.