Day 1 STM Week 2019 Innovations

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STM Innovations Seminar


Driven by data – moving open science forward


Sharing research data is an important enabler for Open Science. Widely endorsed--and even mandated-- by funding bodies and other policy-makers, many disciplines are establishing common conventions on how to make this vision a reality. Through necessity and to aid in reproducibility, publishers are also supporting these endeavours and helping authors make their research data available alongside and linked to their publications. Research Data are thus considered the new gold, for science, research, and society. Today’s Innovation Seminar will offer an exciting tour through and beyond the world of Research Data and the Reproducibility of Research.



Light continental breakfast & networking


The Secret Life of Data: Responsible Research and Reproducibility, Transparency and Trust

Moderated by:Heather Ruland Staines,

Opening keynote: Dr. Leslie McIntosh Founder & CEO, Ripeta, RDA-US

Responsible research means sharing data and allowing reproducibility checks. The keynote of today will highlight these principles for Trust and Integrity of Research with ample everyday cases and examples, to make the case for more and better sharing of Research Data. Also, perhaps even foremost, in biomedical research. Based on thousands of observations across research publications, Leslie will showcase the current trends in making scientific publishing more transparent from policy to practice. This will lead into thoughts on better understanding the signals of trust in science.

Dr. McIntosh is the inaugural founder and CEO of Ripeta, LLC, a company formed to improve scientific research reproducibility. She also wears the hat of Executive Director for the Research Data Alliance – US (RDA-US), a global organization developing recommendations for data sharing and interoperability.  


Round table discussion, moderated by Eefke Smit, Director of Standards and Technology, STM Association

STM 2020 Research Data Year: Share – Link - Cite

Publishers can play a pivotal role in enabling research data to be made available, linked to publications, and cited - to give researchers recognition for sharing their data. A round table of experienced publishers in this area will discuss effective ways to do this, and some of the lessons learned, to share good practice with other publishers.

Grace Baynes, VP, Research Data and New Product Development, Springer Nature
Iain Hrynaszkiewicz, Publisher, Open Research,  PLoS
David Mellor, Director of Policy Initiatives, Centre for Open Science
Joris van Rossum, Research Data Director, STM Association
Deborah Sweet, Vice President Editorial, Cell Press


Refreshment break & networking


Morning Plenary and Discussion Panel

Achieving Reproducibility: Introducing Quality Badges

Moderated by Gerry Grenier, Senior Director of Content Management, IEEE

As publishers and researchers are placing greater emphasis on the practice of reproducibility as an essential ingredient of the scientific research process, it is critical to make compatible the taxonomies used to define the various levels of reproducibility and to agree on a standardized badging scheme that can be applied in the publishing process.  This panel builds on a NISO project that aims to forge agreement and move toward a common vocabulary for quality badging and will address the practical issues that researchers and publishers will face as they implement reproducibility. 

Neil Chue Hong, Software Sustainability Institute, University of Edinburgh
Rebecca Grant, Research Data Manager, Springer Nature
Leslie McIntosh
, Founder & CEO, Ripeta, RDA-US
David Smith, Head of Technology Strategy,The IET


Special announcement: more information will follow




Turning data into revenue – monetizing data assets
Moderated by Liz Marchant, Taylor & Francis

Afternoon keynote, Bettina Goerner, Managing Director Data Products, Springer Nature

In a world where data and analytics are exploding, the thirst for data and for the competitive edge it brings, is exploding too. STM publishers own data which is useful to current customers but may be even more useful to different customers for entirely new applications. This session will bring you fascinating examples from other industries about alternative use cases of data and new revenue streams.

This talk will support your organization in exploring new data products. It looks - very practically - at what data assets are there and of possible value, which user pain points and customers may they serve, and how to get there, to turn data into revenue in an exploding market. It covers all aspects of product strategy, sales process, pricing, business models and IP management, so you can walk away and apply these insights.


Text and data mining: what is real and applicable?
Text and Datamining (TDM) hugely increases the efficiency of research by discovering deeper relationships in text and data. It can shorten the time digging through literature dramatically. To really work, high quality content needs to be used together with high quality software tools. This session investigates the current state of affairs: to what extent has TDM become real and applicable for STM content ? Where are the real promises materializing ? Come and listen to various real live examples selected for you.

Moderated & introduced by John Sack, Founding Director, Highwire Press

Dr Rob Firth, Senior AI Research Scientist, STFC Hartree Centre
Petr Knoth, Senior Research Fellow in Text and Data Mining and Founder & Head of CORE (, The Open University
Josh Nicholson, Co-Founder and CEO of scite
John Sack, Founding Director, Highwire Press on behalf of Emma Warren-Jones, Co-founder, Scholarcy


Refreshment break and networking


Rubber-meets-the-road panel:
Moderated by Renny Guida, Director of Product Management, IEEE

AI for smarter publishing, new tools and services
AI and machine learning have the potential to radically speed up research and science, but also to increase the efficiency of the STM publishing sector. Existing AI-based technologies have already been developed or acquired by publishers to assist with the identification of peer reviewers, identify and combat plagiarism, detect fabricated data, or bolster the decision-making process behind the acceptance and rejection of papers. Likewise, AI has the potential for publishers to offer brand new services to researchers and the research community to empower Open Science and open knowledge creation. Come and listen what is available, see what vendors have on offer for smarter information applications. An AI start-up
Anita Bandrowski, CEO, SciScore &
Martijn Roelandse, Founder/Consultant,

Quertle, AI-supported discovery for on the spot medical knowledge
Daniel Ebneter, CEO, Karger Publishers

MONK, a smart Artificial Intelligence application in Digital Humanities
Ove Kähler, Vice President Operations, Brill Publishers 

16:45 single sign-on is here – to stay

Update on the launch of this new service to streamline digital authentication via an industry-wide single sign on, by the leadership of

Heather Flanagan (Project Director), Chris Shillum (Elsevier), Ralph Youngen (ACS),

Now operational in Beta, the initiative is excited to share how this new infrastructure for secure and privacy protected access to academic resources works. This is a collaboration between STM, NISO, Geant, Internet2 and ORCID who are building a new infrastructure for Federated Identity Management (FIM), based on the RA21 best practice recommendations as published during 2019. This global FIM infrastructure, open for all organisations to implement, will facilitate a massive change in the current access and entitlement management practice of STM publishers, academic and corporate research libraries, and academic resources such as the lab, the cloud and whatever researchers wish to access.


Close of conference: Eefke Smit, STM Director for Standards and Technology

Until 18:15

Reception drinks & networking sponsored by Copyright Clearance Center


Events Terms and Conditions

Where an event has registration fees, cancellations made in writing up to 30 days before an event are eligible for a 50% refund. No refunds can be made for cancellations received on or after 30 days prior to the event date, however, substitutions may be made free of charge at any time.

Registration fees do not include insurance. Participants are advised to take out adequate personal insurance to cover travel, accommodation, cancellation and personal effects.