Visual research methods in education: in between difference and indifference

The aim of this paper is to support critical and scholarly debates that relate to the increasing role of visual research in education, youth studies, sociology, and studies of mental health. Researching in fields where young people are central exposes many struggles, not least issues of how to represent students who end up on the margins. School disaffection intersects with curriculum practices. When threading together visual research methods and matters of curriculum studies, seduction can set in, and unintentionally curriculum research can become indifferent to difference, the counterpoint often sought by researchers. Some scholars may argue that this debate has been well rehearsed in the curriculum field; I, however, take the opposite view. The constraints of curriculum studies, issues of student disaffection and the exclusions of schooling - when analysed through the perspectives of visual research - trouble our research designs and understandings of data and therefore require more, not less, interrogation. Rethinking the intersection points between visual research methods (VRM) and visuality, a concept that is critical to cultural and visual studies, opens out new spaces in the field of curriculum studies and reframes the methodological decisionmaking process for researching issues that pertain to student disaffection. 

Comparative study of mental model research methods : relationships among ACSMM, SMD, MITOCAR & deep methodologies

Measuring and assessing mental models of individuals and teams requires the capturing and analysis of key latent variables. This paper presents and compares four different research methods (ACSMM, SMD, MITOCAR and DEEP) that capture and create a conceptual representation of individual and team mental models. These methods use qualitative and quantitative techniques to investigate a single comparison of different groups or individuals' mental models with another group's mental model or to investigate the comparison of a group or individuals' mental model with themselves at a later time

Rich stuff : review of Jeri Kroll and Graeme Harper (eds), Research methods in creative writing

A review of a cutting-edge collection of scholarly articles engaging with contemporary theories of creativity and a gamut of valid and often exhilarating research methods in contemporary creative writing practice.

Digital libraries for the preservation of research methods and associated artifacts

New digital artifacts are emerging in data-intensive science. For example, scientific workflows are executable descriptions of scientific procedures that define the sequence of computational steps in an automated data analysis, supporting reproducible research and the sharing and replication of best-practice and know-how through reuse. Workflows are specified at design time and interpreted through their execution in a variety of situations, environments, and domains. Hence it is essential to preserve both their static and dynamic aspects, along with the research context in which they are used. To achieve this, we propose the use of multidimensional digital objects (Research Objects) that aggregate the resources used and/or produced in scientific investigations, including workflow models, provenance of their executions, and links to the relevant associated resources, along with the provision of technological support for their preservation and efficient retrieval and reuse. In this direction, we specified a software architecture for the design and implementation of a Research Object preservation system, and realized this architecture with a set of services and clients, drawing together practices in digital libraries, preservation systems, workflow management, social networking and Semantic Web technologies. In this paper, we describe the backbone system of this realization, a digital library system built on top of dLibra.

Structuring research methods and data with the research object model: genomics workflows as a case study

Background: One of the main challenges for biomedical research lies in the computer-assisted integrative study of large and increasingly complex combinations of data in order to understand molecular mechanisms. The preservation of the materials and methods of such computational experiments with clear annotations is essential for understanding an experiment, and this is increasingly recognized in the bioinformatics community. Our assumption is that offering means of digital, structured aggregation and annotation of the objects of an experiment will provide necessary meta-data for a scientist to understand and recreate the results of an experiment. To support this we explored a model for the semantic description of a workflow-centric Research Object (RO), where an RO is defined as a resource that aggregates other resources, e.g., datasets, software, spreadsheets, text, etc. We applied this model to a case study where we analysed human metabolite variation by workflows. Results: We present the application of the workflow-centric RO model for our bioinformatics case study. Three workflows were produced following recently defined Best Practices for workflow design. By modelling the experiment as an RO, we were able to automatically query the experiment and answer questions such as “which particular data was input to a particular workflow to test a particular hypothesis?”, and “which particular conclusions were drawn from a particular workflow?”. Conclusions: Applying a workflow-centric RO model to aggregate and annotate the resources used in a bioinformatics experiment, allowed us to retrieve the conclusions of the experiment in the context of the driving hypothesis, the executed workflows and their input data. The RO model is an extendable reference model that can be used by other systems as well.