Share and Flourish - Sessions

See also the meeting agenda and list of propositions.

This is a tentative schedule. The keynote speakers are confirmed. All other speakers/chairs will be asked to confirm their proposed role.

All sessions in the program are designed to contribute a section to the white paper that we will collectively write during the workshop.
To kick-start the discussion that follows each session, we have prepared a list of propositions grouped by topic.

Day One: Monday August 18


10:00 Opening and introduction

Mieke Schutte Welcome to the Lorentzcenter
Paul Tiesinga Opening statement and introduction to the white paper deliverable

11:00 Keynote

Michael Milham, introduced by Paul Tiesinga: Making data sharing work: the FCP/INDI experience

 12:00 Lunch and free time

14:00 Talks: datasharing utopia

What would we be able to achieve in terms of scientific progress if we lived in an ideal world in which all data gets properly documented and stored? What kinds of questions can we address with huge datasets at our fingertips? Are they worth the effort and if so, how would the answers impact science and society? What examples are there where data sharing works well, or alternatively, not so well?

Session chair Paul Tiesinga
Propositions for this session
Barend Mons Vision of the Dutch Techcenter for Life Sciences
Jeffrey Grethe Towards a co-operative data ecosystem
Jelte Wicherts Datasharing in an ideal world

15:00 Panel: Data producers vs. data consumers

It is natural that data consumers, as most neuroinformaticians are, are eager to have large quantities of data to play with. It is also natural that data producers are reluctant to share data that caused them sweat and tears to produce. What is the common ground between these groups. Do both groups agree that data sharing benefits scientific progress?

Session chair Nick Ramsey
Propositions for this session
5 min discussion starters Ryan Muetzel, Robert Oostenveld
Panel discussion On the panel: Ryan Muetzel, Robert Oostenveld, Eric Maris, Michael Milham,

16:00 Breakout: Define data sharing

When we talk about data sharing, do we mean public data sharing or sharing with trusted collaborators? And do we mean all data that passed quality control, or only the data referred to in publications, or only data for which metadata standards have been defined? This distinction affects many of the later discussions on patient confidentiality and data integrity.

Session chair Mathew Abrams
Propositions for this session
5 min. discussion starters Tonya White, Camille Maumet
Four breakout groups Group chairs:Tonya White, Camille Maumet, Robert Oostenveld, Mathew Abrams

17:00 Social event: Wine & Cheese party

Day Two: Tuesday August 19


09:00 Keynote

Sean Hill, introduced by Rembrandt Bakker: Data sharing in large consortia

10:00 Panel: Why insist on datasharing

Why would funders want us to share data: Would it strengthen science in their own country, or would it mostly benefit science in countries that cannot afford expensive infrastructure to acquire data? Is that good or bad?

Session chair Rob Heinsbroek, NIHC
Propositions for this session
5 min discussion starters Margreet Bloemers, Yuan Liu, Margreet Bouma, Monica Tarazona Rua, Marjan Grootveld
Panel discussion same as above

11:00 Talks: Multi-center data analysis

Does it help to aggregate data from multiple centers, or does it only complicate matters, given that no two MRI devices are completely the same? What improvements in analysis pipelines are needed? Are results more trustworthy if they are independent of the scanner platform?

Session chair Nick Ramsey
Propositions for this session
Betty Tijms Multicenter data analyses in Alzheimer's disease: two different approaches
Rembrandt Bakker Social aspects of data sharing across UMCs

 12:00 Lunch and free time

14:00 Keynote

David Kennedy, introduced by Sean Hill

15:00 Talks: Credits for sharing

Given that scientists are highly motivated to publish research articles, it should not be so hard to have them also publish data, when they are driven by the appropriate rewards and opportunities. At present, however, there are few rewards and also drawbacks (i.e., time, money, infrastructure, others publishing with data you collected) for opening up data to the world. How selfless should a researcher be?

Session chair Tonya White
Propositions for this session
Chris Gorgolewski Making data sharing count: a publication-based solution
Varsha Khodiyar
JB Poline Brain imaging datasharing: utopia, principles and tools

16:00 Panel: Datasharing and Intellectual Property (moved from Wednesday 10:00)

Do datasharing and protection of Intellectual Property go together? Can a PI, an institute, or a country, get a competitive advantage in a given topic if outcomes of experiments must be publicly shared? Isn't it a paradox that funders stimulate entrepreneurship at universities on the one hand, and require public release of data on the other?

Session chair Nick Ramsey
Propositions for this session
5 min discussion starters Rita Azevedo, Milan Petkovic
Panel discussion Rita Azevedo, Milan Petkovic, Nick Ramsey

Day Three: Wednesday August 20


09:00 Keynote

Vince Calhoun, introduced by Tonya White

10:00 Breakout: Data integrity (moved from Tuesday 16:00)

Is giving data in other people's hands safe? They may do a flawed analysis and present a wrong interpretation. How detailed should the data description be to assure the proper use of the data. Should there always be someone available for questions? Some aspects of the shared data may not be in the metadata because they were not important for the initial analysis done by the group who acquired the data. Will the data mining script read the accompanying notes, such as "Patient in scanner started screaming to get out"?

Session chair Linda Lanyon
Propositions for this session
5 min discussion starters Nick Ramsey
Four breakout groups Group chairs: Nick Ramsey, Vince Calhoun, Neda Jahanshad, Tonya White

11:00 Talks: Automated analysis pipelines

As data sets get larger, analysis pipelines must become more autonomous. What types of analysis are possible without human intervention? What are the requirements in terms of data description and availability? How to decide whether data quality is sufficient for inclusion?

Session chair Fons Verbeek
Propositions for this session
Robert Oostenveld Sharing EEG/MEG analysis results, pipelines and provenance
Marcel Koek Automated Analysis in Population Imaging
Chris Gorgolewski Nipype: a flexible framework for processing neuroimaging data
Hugo Vrenken On the limits of automated pipelines

 12:00 Lunch and free time

14:00 Keynote

Neda Jahanshad, introduced by Tonya White: Meta and Mega Genetic Analyses from the ENIGMA Consortium

15:00 Breakout: Ethics of sharing patient data

Is patient data safe in the hands of a researcher? Are researchers aware of that by combining different databases it might be possible to determine the patients identity even though each individual database is properly anonymized? Is an MR scan different from a genetic profile, given that both are uniquely tied to the subject? Can defaced MR data be publicly shared without informed consent? Should we ask all subjects to give consent for public data sharing?

Session chair Hugo Vrenken
Propositions for this session
5 min. discussion starters Leon Haszing, Serge Vrijaldenhoven
Four breakout groups Group chairs: Leon Haszing, Nick Ramsey, Serge Vrijaldenhoven, Tonya White

16:00 Breakout: Public vs. restricted sharing

Do different rules apply to sharing with collaborators compared to public sharing? Do different rules apply to patients who get scanned for a medical condition vs. subjects who participate in a cohort study? What if insurance companies want access to the anonymized data?

Session chair David Kennedy
Propositions for this session
5 min. discussion starters Alan Evans, Nick Ramsey
Four breakout groups Group chairs: David Kennedy, Alan Evans, Nick Ramsey, Neda Jahanshad

17:00 Wrapup and posters

17:30 Social event: Dinner cruise

During the dinner you cruise the waterways around Leiden, from which you can look down on reclaimed land below sea level.
A bus departs at 17:30. The cruise is from 18:00 - 22:00.

Day Four: Thursday August 21


09:00 Keynote

Alan Evans, introduced by Rembrandt Bakker

10:00 Talks/Panel: Meta data standards

Defining complete ontologies for a general class of experiments is hard and only works for known categories of data. Once the ontology is there, is it rewarding and easy to use? Minimal meta data standards are not so hard to define, but they cover only basic aspects of the data, such as the DOI of the publication that describes the data.

Session chair David Kennedy
Propositions for this session
15 min talk by Ammar Benabdelkader PROV to enhance data sharing in Neuroscience
15 min talk by Eric Maris Meta data standards for the Donders Institute RDM pilot
5 min pitch by Anita de Waard The ecology of metadata
Panel discussion Ammar Benabdelkader, Camille Maumet, Eric Maris, JB Poline, Anita de Waard, Joseph Shell

11:00 Talks/Panel: Integration with non-imaging data

Linking data across modalities, length scales and time scales is expected to lead to many new scientific discoveries. An example is the prediction of traits from genetic profiles. Should the various modalities be stored on their own, in specialized databases and if so, how then are the subject IDs combined? Or should all data be stored together in a customized system?

Session chair Tonya White
Propositions for this session
10 min. talk Jan-Willem Boiten: TraIT. Sustainable Infrastructure for Translational Medical Research
Panel Discussion Neda Jahanshad, Danielle Posthuma, Jan-Willem Boiten

 12:00 Lunch and free time

14:00 Keynote

Danielle Posthuma, introduced by Tonya White

15:00 Surprise slot

The topic of this session will be determined on day 4, based on issues raised but not adequately addressed.

16:00 Demo: Storage & pipeline engine demos

Different storage solutions will be briefly presented (single slide, 2 minutes), and will be subsequently demonstrated by the presenter in smaller groups.

Session chair Rembrandt Bakker
David Kennedy NITRC storage demo
Rembrandt Bakker / Marcel Koek ESCXNAT: JAVA-based XNAT upload client with crypt-hash anonimization
Irene Nooren SURF/SARA storage and sharing solutions for biomedical imaging
Anita de Waard Urban Legend: metadata app and data dashboard.
Kathy Wolstencroft SEEK Data Sharing Platform
Samir Das/Alan Evans LORIS, CBrain, BigBrain

Day Five: Friday August 22


09:00 Keynote

Peter Wittenburg, introduced by Mark van de Sanden

10:00 Panel: Large scale, long term storage

Ensuring the availability of large quantities of data for long periods of time is a daunting and costly task. Can you still read a WP5.1 document? Do you still own the data set that you acquired two employers ago? What if the data contains a subject who insists to be removed?

Session chair Fons Verbeek
Propositions for this session
5 min. discussion starters Marjan Grootveld (DANS), Mark van de Sanden (SURF/SARA)
Panel discussion Marjan Grootveld (DANS), Eric Maris, Mark van de Sanden (SURF/SARA), David van Essen

11:00 Talks: Database Federation

Given that both data sharing and research data management are hot topics at research centers around the world, it is expected that hundreds, if not thousands of databases will be created in the coming years. The databases themselves become big data. What measures need to be taken to optimize combined use of multiple data centres? Should this be federated, and who is taking the lead?

Session chair Linda Lanyon
Propositions for this session
10 min. talk Eric Maris: Design choices for the Donders Institute RDM pilot
10 min. talk Tom Nichols:
Panel discussion Peter Wittenburg, Tom Nichols, David Kennedy, Roman Valls Guimera

14:00 Keynote

David van Essen, introduced by Robert Oostenveld

15:00 Panel: SNID Stakeholder interviews

To prepare for this workshop a number of stakeholders were interviewed. We have used the results to formulate the agenda with discussion topics. In this session we look back to see how these interviews align with the outcome of the discussions during the week, as they are reflected in current version of the white paper.

Session chair Paul Tiesinga
10 min talk Hugo Vrenken: results of the stakeholder interviews
Panel discussion Joris Slob, Rembrandt Bakker, Anne Hafkemeijer, Ronald Van Schijndel, Sabine Mous

16:00 White paper presentation and todo

We go through the current version of the white paper, identify the loose ends, and determine how to tie them together. On Wednesday Aug 27 we will present the white paper at the Neuroinformatics congress.

19:00 Dinner for those who stay

In an old woolen blanket factory, we meet with INCF short course participants and task force members.