Better Science through Better Data 2019

The event is organised byScientific Data,within Springer Nature, and in conjunction with Wellcome Trust.Scientific Datais a peer-reviewed, open-access journal for descriptions of research datasets. We aim to promote wider data sharing and reuse, and to credit those that share.Springer Nature is an academic publisher of high impact scientific information in print and online.The Wellcome Trust is an independent global charitable foundation dedicated to improving health through science, research and engagement with society.

Springer Nature & Wellcome Trust

In ‘Better Science through Better Data’ (#scidata19) Springer Nature and The Wellcome Trust partner to bring together researchers to discuss innovative approaches to data sharing, open science, and reproducible research, together with demonstrations of exemplary projects and tools.
If you are a researcher, this event will give you the chance to learn more about how research data skills can aid career progression, including how good practice in data sharing can enable you to publish stronger peer-reviewed publications.
Tickets for the event have now sold out - but you can <A HREF="https://www.springernature.com/gp/campaign/live-stream" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">register for the live stream</A> to watch our keynote talks as they happen from wherever you are in the world.
<DIV CLASS="flapContents" STYLE="box-sizing: border-box; border: 0px; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: 'Daytona W01 Light', sans-serif; margin: 0px 0px 8px; padding: 0.02px 0px 0.02px 1.5625rem; vertical-align: baseline; color: #444444;">
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<H2 CLASS="headline headline-h2" STYLE="font-size: 2rem; box-sizing: border-box; border-width: 0px 0px 0.1875rem; border-top-style: initial; border-right-style: initial; border-bottom-style: solid; border-left-style: initial; border-top-color: initial; border-right-color: initial; border-bottom-color: #dfedf2; border-left-color: initial; border-image: initial; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-weight: normal; font-stretch: inherit; line-height: 1.25; font-family: 'Daytona W01 Light', sans-serif; margin: -0.5rem 0px 1.5625rem; padding: 0px 0px 0.9375rem; vertical-align: baseline; color: #486a7e;">Keynote speakers</H2>
 
<H3 STYLE="box-sizing: border-box; margin-top: 0px; margin-bottom: 20px; font-family: 'daytona w01 light', sans-serif; font-weight: 400; line-height: 1.25; color: #486a7e; font-size: 22px;">Shelley Stall</H3>
<FIGURE STYLE="box-sizing: border-box; margin: 0px 30px 30px 0px; color: #444444; font-family: 'daytona w01 light', sans-serif; font-size: 18px; float: left;"><IMG STYLE="box-sizing: border-box; vertical-align: middle; max-width: 100%; height: auto; display: inline-block;" TITLE="Shelley Stall" ALT="Shelley Stall" SRC="https://s3.amazonaws.com/zapnito/uploads/8de6477c5f55a4d671e2ec1e20dc4113/159dbc33-b627-4bd6-a0ff-69af2b204086.png" DATA-S3="https://s3.amazonaws.com/zapnito/uploads/8de6477c5f55a4d671e2ec1e20dc4113/159dbc33-b627-4bd6-a0ff-69af2b204086.png"></FIGURE>
<P CLASS="flapContent" STYLE="box-sizing: border-box; border: 0px; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: 'Daytona W01 Light', sans-serif; margin: 0px 0px 0.5rem; padding: 0px; vertical-align: baseline; overflow-wrap: break-word; color: #444444;">Senior Director, Data Leadership
<P CLASS="flapContent" STYLE="box-sizing: border-box; border: 0px; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: 'Daytona W01 Light', sans-serif; margin: 0px 0px 0.5rem; padding: 0px; vertical-align: baseline; overflow-wrap: break-word; color: #444444;">American Geophysical Union (AGU)
Shelley Stall is the Senior Director for the American Geophysical Union’s Data Leadership Program. She works with AGU’s members, their organizations, and the broader research community to improve data and digital object practices with the ultimate goal of elevating how research data is managed and valued. Better data management results in better science. Shelley’s diverse experience working as a program and project manager, software architect, database architect, performance and optimization analyst, data product provider, and data integration architect for international communities, both non-profit and commercial, provides her with a core capability to guide development of practical and sustainable data policies and practices ready for adoption and adapting by the broad research community. 
Shelley’s recent work includes the <A STYLE="box-sizing: border-box; background-color: transparent; color: #0088cc; text-decoration-line: none;" HREF="https://copdess.org/enabling-fair-data-project/" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Enabling FAIR Data project</A>, engaging over 300 stakeholders in the Earth, space, and environmental sciences to make data open and FAIR, targeting the publishing and repository communities to change practices by no longer archiving data in the supplemental information of a paper but instead depositing the data supporting the research into a trusted repository where it can be discovered, managed, and preserved.
Her talk is entitled: Your Digital Presence
<H3 STYLE="box-sizing: border-box; margin-top: 0px; margin-bottom: 20px; font-family: 'daytona w01 light', sans-serif; font-weight: 400; line-height: 1.25; color: #486a7e; font-size: 22px;">Mikko Tolonen</H3>
 
<FIGURE STYLE="box-sizing: border-box; margin: 0px 0px 30px 30px; color: #444444; font-family: 'daytona w01 light', sans-serif; font-size: 18px; float: right;"><IMG STYLE="box-sizing: border-box; vertical-align: middle; max-width: 100%; height: 260px; display: inline-block; width: 174px;" TITLE="Mikko Tolonen" ALT="Mikko Tolonen" SRC="https://s3.amazonaws.com/zapnito/uploads/bada3e798e280aaaab99aecc17ee7b80/ecf9609c-47dc-4e54-950d-0d8e4db92fdd.png" HEIGHT="260" WIDTH="174" DATA-S3="https://s3.amazonaws.com/zapnito/uploads/bada3e798e280aaaab99aecc17ee7b80/ecf9609c-47dc-4e54-950d-0d8e4db92fdd.png"></FIGURE>
<P CLASS="flapContent" STYLE="box-sizing: border-box; border: 0px; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: 'Daytona W01 Light', sans-serif; margin: 0px 0px 0.5rem; padding: 0px; vertical-align: baseline; overflow-wrap: break-word; color: #444444;">Assistant Professor
<P CLASS="flapContent" STYLE="box-sizing: border-box; border: 0px; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: 'Daytona W01 Light', sans-serif; margin: 0px 0px 0.5rem; padding: 0px; vertical-align: baseline; overflow-wrap: break-word; color: #444444;">Faculty of Arts at the University of Helsinki
Mikko Tolonen is an assistant professor of Digital Humanities at the University of Helsinki. He is the PI of Helsinki Computational History Group (COMHIS). In 2015-17 he also worked in the National Library of Finland on digitized newspapers as professor of research on digital resources. He is the chair of Digital Humanities in the Nordic Countries (DHN). His current main research focus is on an integrated study of early modern public discourse and knowledge production that combines bibliographic metadata and full-text sources. In 2016, he was awarded an Open Science and Research Award by the Finnish Ministry of Education and Culture.
His talk is entitled: Integrating Open Science in the Humanities: the Case of Computational History
<H3 STYLE="box-sizing: border-box; margin-top: 0px; margin-bottom: 20px; font-family: 'daytona w01 light', sans-serif; font-weight: 400; line-height: 1.25; color: #486a7e; font-size: 22px;">David Stillwell </H3>
 
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<P CLASS="flapContent" STYLE="box-sizing: border-box; border: 0px; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: 'Daytona W01 Light', sans-serif; margin: 0px 0px 0.5rem; padding: 0px; vertical-align: baseline; overflow-wrap: break-word; color: #444444;">Lecturer in Big Data Analytics and Quantitative Social Science
<P CLASS="flapContent" STYLE="box-sizing: border-box; border: 0px; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: 'Daytona W01 Light', sans-serif; margin: 0px 0px 0.5rem; padding: 0px; vertical-align: baseline; overflow-wrap: break-word; color: #444444;">Judge Business School, University of Cambridge
David is Lecturer in Big Data Analytics and Quantitative Social Science at Cambridge University’s Judge Business School. David's research uses big data to understand psychology. He published papers using social media data from millions of consenting individuals to show that the computer can predict a user's personality as accurately as their spouse can. This research has important public policy implications. How should consumers' data be used to target them? Should regulators step in, and if so how? David has spoken at workshops at the EU Parliament and to UK government regulators.
David has also published research using various big data sources such as from credit card data and textual data to show that spending money on products that match one's personality leads to greater life satisfaction, that people tend to date others whose personality is similar, and that people who swear seem to be more honest.
His talk is entitled: Getting Big Data: Social scientists must strive to be autonomous from corporate charity.
<H3 STYLE="box-sizing: border-box; margin-top: 0px; margin-bottom: 20px; font-family: 'daytona w01 light', sans-serif; font-weight: 400; line-height: 1.25; color: #486a7e; font-size: 22px;">Tomas Knapen</H3>
 
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<P CLASS="flapContent" STYLE="box-sizing: border-box; border: 0px; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: 'Daytona W01 Light', sans-serif; margin: 0px 0px 0.5rem; padding: 0px; vertical-align: baseline; overflow-wrap: break-word; color: #444444;">Assistant Professor
<P CLASS="flapContent" STYLE="box-sizing: border-box; border: 0px; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-stretch: inherit; font-size: 16px; line-height: inherit; font-family: 'Daytona W01 Light', sans-serif; margin: 0px 0px 0.5rem; padding: 0px; vertical-align: baseline; overflow-wrap: break-word; color: #444444;">Vrije Universiteit Amsterdam - Cognitive Psychology
<FIGURE STYLE="box-sizing: border-box; margin: 0px 0px 30px 30px; color: #444444; font-family: 'daytona w01 light', sans-serif; font-size: 18px; float: right;"><IMG STYLE="box-sizing: border-box; vertical-align: middle; max-width: 100%; height: auto; display: inline-block;" TITLE="Tomas Knappen" ALT="Tomas Knappen" SRC="https://s3.amazonaws.com/zapnito/uploads/82c0404ddc5d48621e109d847948c995/3ef4c579-1cda-4f1e-879f-ebf1505d0406.png" DATA-S3="https://s3.amazonaws.com/zapnito/uploads/82c0404ddc5d48621e109d847948c995/3ef4c579-1cda-4f1e-879f-ebf1505d0406.png"></FIGURE>
Tomas is a cognitive neuroscientist whose research focuses on the role sensory topographies (visual retinotopy, auditory tonotopy and bodily somatotopy) play in the detailed organization of the human brain and cognition. For this work, Tomas uses state of the art 7-Tesla MRI techniques. Early-career experiences where he ‘failed to replicate’ previous findings have impressed upon him the need to make research reproducible from top to bottom. Because of this, his lab uses only open methods and puts all their data and methods online. Having invested in these methods, Tomas is convinced that, in the end, it is not a burden to perform open science, rather it provides researchers with great opportunities for ground-breaking science. 
His talk is entitled: How I learned to stop worrying and love Open Science
<H2 CLASS="headline headline-h2" STYLE="font-size: 2rem; font-family: 'Daytona W01 Light', sans-serif; box-sizing: border-box; border-width: 0px 0px 0.1875rem; border-top-style: initial; border-right-style: initial; border-bottom-style: solid; border-left-style: initial; border-top-color: initial; border-right-color: initial; border-bottom-color: #dfedf2; border-left-color: initial; border-image: initial; font-variant-numeric: inherit; font-variant-east-asian: inherit; font-weight: normal; font-stretch: inherit; line-height: 1.25; margin: -0.5rem 0px 1.5625rem; padding: 0px 0px 0.9375rem; vertical-align: baseline; color: #486a7e;"> </H2>
<A HREF="https://www.springernature.com/gp/campaign/scidata#c17241126" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">See the event programme</A>.
 
<A TITLE="Programme Committee." HREF="https://www.springernature.com/gp/campaign/scidata#c15835702" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Meet the Programme Committee. </A>
 
<A HREF="https://www.springernature.com/gp/campaign/live-stream" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Register for the live stream.</A>
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