Event Held June 6 – 7, 2017 (Application deadline is April 15, 2017.)

Qualcomm Institute at Calit2
University of California, San Diego
La Jolla, CA

As the open science movement rapidly advances, the scientific community is growing to appreciate the benefits of data sharing: it promotes scientific progress, sustains scientific integrity and maximizes the value of data. In 2013 the White House Office of Science and Technology Policy (OSTP) issued a directive that required public access to data obtained from federally funded research.  In response, many federal agencies that support behavioral and psychological research have instituted policies that require investigators to provide a detailed data sharing plan in their grant applications. Another manifestation of this trend toward open science is the adoption of data sharing as a requirement for publication by a growing number of journals. Further, in 2015, a working group of the American Psychological Association (APA) issued a statement on Data Sharing: Principles and Considerations for Policy Development.

Embracing this change calls for a revamping of scientific education and training to ensure that researchers develop the new skill sets that are needed for both original data collection and secondary use of data. Traditional approaches to collection, management, documentation and curation of original data will have to be reshaped to make effective secondary use of data possible. In addition, there are numerous ethical and pragmatic implications associated with data sharing that need consideration.  These include the nature of the consent process for the primary study when the data may be shared for other as-yet-to-be-determined research purposes; identifying sources of support for the costs associated with data sharing; and ensuring that data are preserved in a form that is usable and interpretable by secondary users.

About the workshop

This APA-sponsored workshop will focus on the practical components of sharing research data. Participants will learn how to develop a plan for data sharing, draft consent forms that accommodate sharing of research data and construct a budget to support effective data management. Participants will also explore various platforms and data repositories to identify those best suited to their type(s) of research data, as well as existing data collection tools and resources that facilitate data sharing, such as the NIH Toolbox. In addition to hands-on experience, the workshop will provide attendees with an overview of open science, best practices for dealing with human research participant protection issues, implications of data sharing for career development and the future of research, and how academe can adapt to this changing landscape.

The workshop, directed by Cinnamon Bloss (Univ. of California, San Diego; UCSD), in collaboration with Terry Jernigan (UCSD) and Gregory Farber (National Institute of Mental Health; NIMH), is geared towards established and early career psychological scientists and graduate students and will accommodate up to 30 participants.  Attendees are encouraged to bring their current or planned studies and/or data to the workshop in order to receive guidance and feedback on data sharing within their own research programs.  Along with the directors, the faculty will include other researchers with substantial experience in data sharing.

Faculty

Cinnamon Bloss is assistant professor in the Departments of Psychiatry and Family Medicine and Public Health at the University of California, San Diego. Dr. Bloss’ background is in clinical psychology, statistical genetics, genomic medicine, biomedical ethics and health policy, and her current research focuses on the individual and societal impacts of emerging biomedical technologies. Dr. Bloss is a co-investigator of the genetics core of the multi-site Pediatric Imaging, Neurocognition, and Genetics (PING) Study. PING investigators have produced and released data through the PING Data Resource, a publicly accessible data platform, with the conviction that sharing and collaboration within large-scale studies can lead to future discoveries that will benefit the lives of children. 

Matthew Bietz is assistant project scientist and assistant professor in the Donald Bren School of Information and Computer Sciences, at the University of California, Irvine.  He explores the role of knowledge representations and digital artifacts in supporting scientific collaboration, specifically with respect to information and communication technologies. His research builds on sociotechnical theories that illuminate the complex interplay of social and technological phenomena, and uses sociotechnical aspects of data, databases and data sharing systems in HIV/AIDS research, genomics and oceanography.

Gregory Farber is the director of the Office of Technology Development and Coordination at NIMH, which is responsible for coordinating all technology development and bioinformatics activities at NIMH. He began his career at Pennsylvania State University as an assistant professor of biochemistry, where his research included work on structural movies of enzyme action, molecular evolution and mechanistic enzymology.  Dr. Farber has also worked at the National Center for Research Resources, where he managed a number of centers and individual investigator awards in technology development and bioinformatics, as well as a cohort of interdisciplinary research centers.

Terry Jernigan is professor of cognitive science, psychiatry, and radiology at UCSD, and currently serves as director of the UCSD Center for Human Development, where she works with an interdisciplinary team conducting research focused on the factors that influence behavioral and brain development in children. Dr. Jernigan is a principal investigator of the PING Study as well as co-director of the coordinating center for the Adolescent Brain Cognitive Development Study – the largest long-term study of brain development and child health in the U.S. 

Camille Nebeker is an assistant professor at UCSD in the Department of Family Medicine and Public Health with a primary appointment in behavioral medicine and a secondary appointment in global health. She holds an adjunct appointment in the Graduate School of Public Health at San Diego State University and is an affiliated investigator with the UCSD Research Ethics Program and the Center for Wireless and Population Health Systems. Dr. Nebeker’s expertise is in human research ethics applied to emerging technologies, community-based/engaged research, and teaching and learning about research ethics.

Preliminary Agenda

Tuesday June 6, 2017

8:00 – 9:00 am                    Registration and breakfast

9:00 – 10:30 am                  Opening sessions
Broad overview of open science, with primary focus on data sharing, ethical implications and special considerations for different types of research/data

10:30 – 10:45 am               Break

10:45 am – 12:00 noon     Hands-on sessions (see topics below)

12:00 – 12:45 pm               Lunch

12:45 – 2:30 pm                  Hands-on sessions

2:30 – 2:45 pm                    Break

2:45 – 4:30 pm                    Hands-on sessions

4:30 – 5:00 pm                    Wrap-up of the day and adjourn

6:00 – 8:00 pm                    Dinner reception

Wednesday June 7, 2017

8:00 – 9:00 am                    Opening sessions
Issues related to preparing and submitting original data for sharing, as well as extracting data for use in secondary studies

9:00 – 10:30 am                  Hands-on sessions

10:30 – 11:00 am               Break

11:00 am – 12:15 pm        Hands-on sessions

12:15 – 1:00 pm                  Lunch

1:00 – 3:00 pm                    Hands-on sessions

3:00 – 3:15 pm                    Break

3:15 – 4:00 pm                    Closing session – Impact of data sharing on the future of research

Hands-on Session Topics 

  • Studies we can learn from:
  • Platforms/data repositories to use (e.g., structures and databases to consider to host your data)
  • Existing resources to facilitate data sharing (how to share data in a way that facilitates downstream data aggregation)
    • NIH Toolbox and other NIH resources
  • Consent forms for data sharing
  • Budgets for data sharing
  • Data use agreements
  • Considerations for special populations (e.g., minors, tribal)
  • Career development implications
    • Data sharing for the junior investigator

Application Process

Please submit a curriculum vitae and brief statement of no more than 600 words describing why you would like to attend this workshop and how you will use the knowledge gained in your research and/or teaching. Deadline for applications is April 15, 2017.  Submit application to researchethics@apa.org.

Applications for the APA Workshop on How to Share Research Data are reviewed by APA Science Directorate staff using the following criteria:

  • Preparedness for the course. Curriculum vitae and personal statements are reviewed to ascertain whether the applicant is academically prepared for the course
  • Opportunity to use training in future research. Personal statements are reviewed to determine whether applicants demonstrate a strong likelihood of using this training in future academic endeavors.

Fees

APA Members
Faculty: $150
Postdoc/Student: $75

Nonmembers
Faculty: $250
Postdoc/Student: $125 

Lodging

Participants will receive a group discount on rooms at a hotel located close to the QualComm Institute at Calit2.

If you have any questions, please send an email to researchethics@apa.org or call 202-336-6000.