19.07.15 - 24.07.15, Seminar 15302

Digital Scholarship and Open Science in Psychology and the Behavioral Sciences

Diese Seminarbeschreibung wurde vor dem Seminar auf unseren Webseiten veröffentlicht und bei der Einladung zum Seminar verwendet.


It is widely acknowledged that data and documents are of the most value when they are interconnected rather than isolated. Understanding mental health disorders requires correlating information from diverse sources — e.g. cross-referencing clinical, psychological, and genotypic sources. This interoperability layer has several components; many are related to data standards and ontologies. Data standards and ontologies are also central for Open Science and Digital Scholarship. Open Science, the movement to make scientific research, data and dissemination accessible to all members of an inquiring society - amateur or professional - is emerging under the influence of new technologies. Open Science has the potential to deliver disruptive technology that will impact digital scholarship across all disciplines. Interoperability is central to Open Science; data should be open and self-describing so that an intelligent, machine readable, interoperable layer may emerge. Thus, the Web becomes a platform supporting Open Science and Digital Scholarship. Critical issues in scholarly communication such as reproducibility, reporting structures for experimental results, and data annotation, can be solved only with widespread deployment and adoption of data standards and ontologies.

Information in the biomedical domain is highly interconnected so it is expected that Brain Mapping Data (BAM) will generate new insights by complementing existing datasets across biomedical science – e.g. genetic clues for Post-Traumatic Stress Disorder (PTSD) or molecular markers for cognitive disorders in relation to behavioral traits. Understanding and developing treatment breakthroughs of disorders such as schizophrenia, Alzheimer’s, suicide, PTSD and others will require a much more sophisticated infrastructure than currently exists. Genotypic, phenotypic, environmental, and psychological information should effortlessly come together in support of scientific inquiries. Although studies in psychology usually involve a large number of variables as well as an accurate description of the population, a shortage of data standards makes it difficult to share and exchange data. Experience from the biomedical domain clearly shows that an interdisciplinary and technologically innovative approach is needed. Psychology and the behavioral sciences pose an interesting challenge and opportunity to computer scientists as well as to those working on open science and digital scholarship. Both these domains are rapidly becoming data-driven research areas with limited experience in data and knowledge management. 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 challenges discussed during this Dagstuhl Perspectives workshop will contribute to solidifying this interaction by opening new paths for collaboration.

Topics of the workshop

  1. Open Science
  2. Cyber infrastructures and e-science
  3. Data standards and ontologies in Psychology and Behavioral Sciences
  4. How data standards, cyber infrastructures, and open science relate to each other
  5. Replicability, reproducibility, and reporting structures
  6. Security and privacy implications of open data in psychology
  7. Experiences from other domains and applicability in psychology and behavioral sciences

Goals of the workshop

  1. To foster and initiate the discussion about open science and digital scholarship in psychology and the behavioral sciences, addressing specific issues such as data standards, interoperability, knowledge representation, ontologies, and linked data.
  2. To identify useful experiences from other domains, including requirements and issues to be addressed. More importantly, we seek to define a common vision, a road map for this community to build cyber infrastructures in support of open science and digital scholarship.