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Kim Martin

Publications and source records attributed to Kim Martin.

2 recordsLinked to original sources

Institutional Policy Pathways for Supporting Research Software: Global Trends and Local Practices

Research software is essential to modern science, yet many research-performing organisations lack coherent policies to support its development, sustainability, and recognition. Despite its central role in research outcomes, research software and its personnel are often excluded from research institution policies. This article discusses the work of the Policies in Research Organisations for Research Software (PRO4RS) Working Group, exploring current gaps, including limited support for research software personnel, and offering recommendations for embedding software into policy frameworks to ensure the software is valued, sustained, and aligned with broader research goals. The analysis proposes a three-layer framework to guide policy development: central policies that explicitly recognise software as a scholarly output; middle-layer policies that align related areas such as open science, intellectual property, and research evaluation; and outer-layer mechanisms like guidelines and frameworks that enable practical implementation. Institutions are encouraged to assess existing practices, adopt international declarations, and engage stakeholders to advance software recognition. Stronger institutional policies can foster good practices, boost collaboration, support reproducibility, and strengthen researcher development, to maximise both institutional value and research impact, and position organisations as leaders in open, sustainable, software-driven science.

cs.SE

Networks of digital humanities scholars: The informational and social uses and gratifications of Twitter

Big data research is currently split on whether and to what extent Twitter can be characterised as an informational or social network. We contribute to this line of inquiry through an investigation of digital humanities scholars' uses and gratifications of Twitter. We conducted a thematic analysis of 25 semistructured interview transcripts to learn about these scholars' professional use of Twitter. Our findings show that Twitter is considered a critical tool for informal communication within DH invisible colleges, functioning at varying levels as both an informational network (learning to 'Twitter' and maintaining awareness) and a social network (imagining audiences and engaging other digital humanists). We find that Twitter follow relationships reflect common academic interests and are closely tied to scholars' preexisting social ties and conference or event co-attendance. The concept of the invisible college continues to be relevant but requires revisiting. The invisible college formed on Twitter is messy, consisting of overlapping social contexts (professional, personal, and public), scholars with different habits of engagement, and both formal and informal ties. Our research illustrates the value of using multiple methods to explore the complex questions arising from big data studies and points toward future research that could implement big data techniques on a small scale, focusing on sub-topics or emerging fields, to expose the nature of scholars' invisible colleges made visible on Twitter.

cs.CY