http://www.dagstuhl.de/15302

19. – 24. Juli 2015, Dagstuhl Perspectives Workshop 15302

Digital Scholarship and Open Science in Psychology and the Behavioral Sciences

Organisatoren

Alexander Garcia Castro (Technical University of Madrid, ES)
Janna Hastings (European Bioinformatics Institute – Cambridge, GB)
Robert Stevens (University of Manchester, GB)
Erich Weichselgartner (ZPID – Trier, DE)


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Dagstuhl Report, Volume 5, Issue 7 Dagstuhl Report
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Summary

Researchers across many domains have invested significant resources to improve transparency, reproducibility, discoverability and, in general, the ability to share and empower the community. Digital Scholarship and Open Science are umbrella terms for the movement to make scientific research, its tools and data and dissemination accessible to all members of an inquiring society, amateur or professional. Digital infrastructures are an essential prerequisite for such open science and digital scholarship; the biomedical domain illustrates this culture. An impressive digital infrastructure has been built; this allows us to correlate information from genomes to diseases, and, by doing so, to support movements such as panomic studies and personalized medicine. A high degree of interdisciplinary work was necessary in building this infrastructure; the large quantities of data being produced, the high degree of interrelatedness, and, most of all, the need for this mingling of many types of data in a variety of forms forged this collaboration across the community and beyond.

The Behavioral Sciences, comprising psychology but also psychobiology, criminology, cognitive science and neuroscience, are also producing data at significant rates; by the same token, understanding mental health disorders requires correlating information from diverse sources - e.g. cross-referencing clinical, psychological, and genotypic sources. For example, flagship projects such as the Brain Activity Map (BAM, also known as the BRAIN initiative) are generating massive amounts of data with potential benefit to mental health and psychology; conversely, projects like BAM could benefit from information currently being generated by psychologists. Our ability to make continued progress in understanding the mind and brain depends on finding new ways to organize and synthesize an ever-expanding body of information.

The 'Digital Scholarship and Open Science in Psychology and the Behavioral Sciences' Dagstuhl Perspectives Workshop was conceived with one problem in mind: that of facilitating the construction of an integrative infrastructure in Psychology and Behavioral Sciences. The motivation for this workshop was to `foster the discussion around the problem of understanding the Web as an integrative platform, and how e-science can help us to do better research.' With these points in mind, we gathered an interdisciplinary group of experts, including computer scientists, psychologists and behavioral scientists. In their research, they are addressing issues in data standards, e-science, ontologies, knowledge management, text mining, scholarly communication, semantic web, cognitive sciences, neurosciences, and psychology. Throughout the Workshop, this group worked on devising a roadmap for building such an interoperability layer.

The seminar started with a number of keynote sessions from well-known authorities in each area to introduce the necessary background and form a common baseline for later discussions. A core theme that emerged was the cross-domain challenge in establishing a common language. We jointly undertook the effort to define an integrative scenario illustrating how digital infrastructures could help psychologists and behavioral scientists to do research that takes advantage of the new digital research landscape. In order to achieve this, the computational scientists needed to better understand the current working practices of the psychologists. For instance, the nature and structure of their data and experiments; moreover, computer scientists needed to understand the flow of information, from the conception of an idea, through defining a study plan, executing it and finally having the investigation published. They learned that the work of psychologists and behavioral scientists strongly relies on questionnaires and experiments as ways of collecting data, and on statistics as a tool for analyzing data, and that the replicability of experiments is a key concern. In a similar vein, psychologists and behavioral scientists needed concrete examples illustrating how computer science enables FAIR (= findable, accessible, interoperable and reusable) infrastructures that allow researchers to discover and share knowledge - bearing in mind data protection issues.

Two break-out groups were organized. The purpose was to have a full picture of digital scholarship in action when applied to psychology and behavioral investigations, most importantly e-science assisting researchers in sharing, discovering, planning and running investigations. The full research life cycle had to be considered. Both groups worked up their respective scenarios independently. The visions were then exchanged in an inter-group meeting. Interestingly, various issues arose when discussing the specifics from each vision for digital scholarship; for instance, the importance of understanding scholarly communication beyond the simple act of getting one's results published. Furthermore, the need to integrate tools into platforms where researchers could openly register their projects and plan and manage their workflows, data, code and research objects, was extensively discussed. Within this framework, the need for controlled vocabularies, standards for publishing and documenting data and metadata, persistent identifiers for datasets, research objects, documents, organizations, concepts and people, open APIs to existing services and instruments, and reporting structures were understood; these elements were articulated in the examples where the researchers and research were at the center of the system. Discussions also addressed fears in the community and thus the need to open up the current research landscape in small steps.

The seminar proved to be a fertile discussion field for interdisciplinary collaborations and research projects across previously disparate fields with the potential of significant impact in both areas. The need for a digital infrastructure in psychology and behavioral sciences was accepted by all the attendants; communicating this message with a clear implementation vision to funding agencies, professional societies and the community in general was identified as a key priority. It was decided that we needed another meeting in 2016; during that follow-up, the emphasis should be on developing a research agenda. As this is a relatively new topic in psychology and behavioral sciences, it was also decided to contact publishers and professional organizations, e.g. the Sloan Foundation, the APA and the APS, and work with them in conveying the message about increasing openness. If we want to understand how cognition is related to the genome, proteome and the dynamics of the brain, then interoperability, data standards and digital scholarship have to become a common purpose for this community. Funding has to be made available, initially for an assessment of the uptake of existing key resources and infrastructures, and then for implementing further Digital Scholarship and Open Science infrastructures as well as for building the skills in a community that is not yet widely familiar with the relevant enabling technologies. Finally, once sufficient technical support is in place, sustainable incentives for sharing research objects should be put in practice.

License
  Creative Commons BY 3.0 Unported license
  Alexander Garcia Castro and Janna Hastings and Robert Stevens and Erich Weichselgartner

Classification

  • Data Bases / Information Retrieval
  • Data Structures / Algorithms / Complexity
  • Semantics / Formal Methods

Keywords

  • Data standards
  • Semantic web
  • Ontologies
  • Psychology
  • Open science

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