Authors : Emanuela Reale, Dragana Avramov, Kubra Canhial, Claire Donovan, Ramon Flecha, Poul Holm, Charles Larkin, Benedetto Lepori, Judith Mosoni-Fried, Esther Oliver, Emilia Primeri, Lidia Puigvert, Andrea Scharnhorst, Andràs Schubert, Marta Soler Sàndor, Soòs Teresa, Sordé Charles, Travis René Van Horik
Recently, the need to contribute to the evaluation of the scientific, social, and political impact of Social Sciences and Humanities (SSH) research has become a demand of policy makers and society.
The international scientific community has made significant advances that have transformed the impact of evaluation landscape. This article reviews the existing scientific knowledge on evaluation tools and techniques that are applied to assess the scientific impact of SSH research; the changing structure of social and political impacts of SSH research is investigated based on an overarching research question: to what extent do scholars attempt to apply methods, instruments, and approaches that take into account the distinctive features of SSH?
The review also includes examples of European Union (EU) projects that demonstrate these impacts. This article culminates in a discussion of the development of the assessment of different impacts and identifies limitations, and areas and topics to explore in the future.
URL : A review of literature on evaluating the scientific, social and political impact of social sciences and humanities research
DOI : https://doi.org/10.1093/reseval/rvx025
Authors : Kathleen Gregory, Helena Cousijn, Paul Groth, Andrea Scharnhorst, Sally Wyatt
Open research data are heralded as having the potential to increase effectiveness, productivity, and reproducibility in science, but little is known about the actual practices involved in data search and retrieval.
The socio-technical problem of locating data for (re)use is often reduced to the technological dimension of designing data search systems. In this article, we explore how a social informatics perspective can help to better analyze the current academic discourse about data retrieval as well as to study user practices and behaviors.
We employ two methods in our analysis – bibliometrics and interviews with data seekers – and conclude with a discussion of the implications of our findings for designing data discovery systems.
URL : https://arxiv.org/abs/1801.04971
Authors : Kathleen Gregory, Paul Groth, Helena Cousijn, Andrea Scharnhorst, Sally Wyatt
A cross-disciplinary examination of the user behaviours involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data.
Two analytical frameworks rooted in information retrieval and science technology studies are used to identify key similarities in practices as a first step toward developing a model describing data retrieval.
URL : https://arxiv.org/abs/1707.06937