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Workshops

Web of Science as a Research Dataset

Date:

November 14-15, 2016


Meeting Place:

Social Science Research Commons (SSRC), Indiana University
Woodburn Hall, Room 200
1100 East Seventh Street
Bloomington, IN 47405

Web Indiana University Campus Map »

Organizers:

Katy Borner

Katy Börner

Victor H. Yngve Distinguished Professor of Information Science
Director, CI for Network Science Center Curator, Mapping Science Exhibit
School of Informatics and Computing
Indiana University, Bloomington
ude.anaidni@ytak

Eamon Duede

Eamon Duede

Executive Director
Knowledge Lab
University of Chicago
eduede@uchicago.edu

James Pringle

James Pringle

Head of Industry Development
Clarivate Analytics

Mention the Workshop on Twitter

Workshop Goals

This workshop brings together data scientists and data stewards from research centers that are using the Web of Science™ at scale. We will explore WoS from the perspective of a research dataset and work together on practical ways to better support our research in the future. While the main focus will be on the Web of Science, the results should be extensible to all similar metadata aggregations. This unique focus—bringing data stewards and data scientists from these centers together to work on shared needs in tandem with the Web of Science team—will enable us to redefine and fully repurpose WoS to fit our research goals. We intend to launch an ongoing community in which we will learn techniques and develop tools to improve the data that underlies our research.


Advance Preparations

  • Data stewards will provide a short profile of how WoS as a dataset is being implemented in the context of their research center/university and the technical, content, and other challenges they are facing.
  • Researcher data scientists will prepare a short profile of current research projects leveraging the WoS dataset, focusing on key challenges such as linking, disambiguating, mining, etc. that, if solved, would offer greater research opportunities.

Schedule:

Monday, November 14, 2016

View recording »

12:00pm Arrival, Light Lunch
12:30pm Welcome and Introductions
1:00pm Session 1: Web of Science “Outside the Box”
Facilitator: Katy Börner
The Web of Science and similar metadata datasets are housed, maintained, and enhanced in local institutional enclaves. This session looks at how data scientists and managers set up the WoS dataset in an enclave, disambiguate the data (names, institutions, and geolocations), link it to other datasets, and build predictive models.
2:00pm Wrap Up: Discussion will focus on identifying key data challenges in these areas.
2:30pm Break
3:00pm Session 2: Breakthrough Research
Facilitator: Eamon Duede
A “lightning round” look at examples of new questions asked and answered in recent research across network science, science of science, scientometrics, and science policy. We will explore how WoS and related large-scale datasets enabled these new questions to be addressed and whether enhancements to the dataset could have better supported the research.
2:00pm Wrap Up: Discussion will focus on identifying key data challenges in these areas.
4:30pm Day 2 Preparation:
Establish “big questions” for the breakout teams. Set up for hackathon.
5:00pm Adjourn
6:30pm

Dinner

Tuesday, November 15, 2016

8:00am Breakfast, Initial Breakout Team Meetings
9:00am

Session 3: Understanding Web of Science as Research Data

Facilitator: Jason Rollins
For over 50 years, the Web of Science evolved as a dataset in response to changing research contexts and priorities. Today, more researchers are using the Web of Science “at scale” to ask and answer powerful new questions about the shape, dynamics, and veracity of science and scholarship. The Web of Science now appears both an object of inquiry its own right and a vast sensor network for discerning large-scale trends. What is changing in this dataset to support these new uses, and what could change further? Presentations and discussion led by Clarivate Analytics team.

10:30am Break
11:00am

Session 4: Hackathon Breakout Sessions
Facilitators: Eamon Duede, Jason Rollins, and Ted Lawless
A mix of sessions determined by 3-4 “big questions” prioritized on Day 1, grouped as:

  1. Technical Hackathon(s): Practical Focus on applying code across research centers in such areas as data disambiguation (names, institutions, geolocations), linking WoS data to other datasets, building models to predict gender, ethnicity, etc.
  2. Topical Hackathon(s): Working across research centers on Authorship & Collaboration; Gender in Science; Topic Modeling and/or other topics defined by attendee interest.
  3. Community Hackathon: Focus on establishing an ongoing community (e.g. setting up an enclave, tools & mechanisms for sharing code, citing and acknowledging contributions, and/or what is appropriate for cross-enclave sharing).

12:00pm Working Lunch
3:00pm Group Discussion
Facilitators: Katy Börner, Eamon Duede, and Jim Pringle
Group Discussion: Lessons, and results. What kind of community should we be?
4:00pm Wrap-up

Invited Participants

Titipat Achakulvisut

Titipat Achakulvisut

PhD candidate, Biomedical Engineering
Northwestern University

YY Ahn

YY Ahn

Assistant Professor
Indiana University

Yadu Babuji

Yadu Babuji

Chief Infrastructure Wizard
Computation Institute
University of Chicago

Linge Bai

Linge Bai

Senior Data Scientist
Clarivate Analytics

Brenda Betancourt

Brenda Betancourt

Postdoctoral researcher in Statistical Science
Duke University

Sebastien Brien

Sebastien Brien

Chief Analytics Officer
Clarivate Analytics

Grégoire Côté

Grégoire Côté

President
Science-Metrix

James Evans

James Evans

Professor of Sociology
University of Chicago

Diego Fregolente

Diego Fregolente

Postdoctoral Fellow
Northwestern Institute on Complex Systems [NICO]

Lee Giles

Lee Giles

Professor
Pennsylvania State University

Junming Huang

Junming Huang

Postdoctoral research associate
Northeastern University

Matt Hutchinson

Matt Hutchinson

Data Manager
Network Science Institute
Indiana University

Ted Lawless

Ted Lawless

Solutions Specialist
Clarivate Analytics

Robert Light

Robert Light

Senior Systems Analyst, Database Administrator
Cyberinfrastructure for Network Science (CNS) Center
Indiana University, Bloomington

Lu Liu

Lu Liu

Graduate Student
College of Information, Science & Technology
Pennsylvania State University

Jared Lorince

Jared Lorince

Postdoctoral Fellow
Northwestern Institute on Complex Systems [NICO]

Patty Mabry

Patricia L. Mabry

Executive Director and Senior Research Scientist
Network Science Institute
Indiana University

Helge Marahrens

Helge Marahrens


Graduate Student, Sociology Department
Indiana University, Bloomington

Fil Menczer

Fil Menczer

Professor of Informatics & Computer Science
Director of The Center for Complex Networks & Systems Research (CNetS)
Indiana University, Bloomington

Stasa Milojevic

Staša Milojević

Associate Professor of Informatics
Indiana University

Nicholas Monath

Nicholas Monath

MS/PhD Student
University of Massachusetts, Amherst

Hao Peng

Hao Peng

Graduate Student
Indiana University

Orion Penner

Orion Penner

Postdoctoral Researcher
Chair of Innovation and IP Policy
EPFL

Valentin Pentchev

Valentin Pentchev

Director of Information Technology
Network Science Institute
Indiana University, Bloomington

Adam Ploszaj

Adam Ploszaj

Assistant professor, Centre for European Regional & Local Studies EUROREG, University of Warsaw & Visiting professor at Cyberinfrastructure for Network Science (CNS) Center
Indiana University, Bloomington

Jason Rollins

Jason Rollins

Senior Director of Innovation
Clarivate Analytics

Matthew B. Ross

Matthew B. Ross

Post-Doc
Ohio State University

Johanna Salazar

Johanna Salazar

Assistant Director of The Johnson Center for Innovation and Translational Research
College of Arts & Sciences
Indiana University, Bloomington

Christian Schulz

Christian Schulz

ETH Zurich

Ben Serrette

Ben Serrette

Web Developer
Network Science Institute
Indiana University, Bloomington

Aditya Tandon

Aditya Tandon

Graduate Student
The Center for Complex Networks & Systems Research (CNetS)
Indiana University, Bloomington

Vetle Torvik

Vetle I. Torvik

Assistant Professor
School of Information Sciences
University of Illinois at Urbana-Champaign

Brian Uzzi

Brian Uzzi

Richard L. Thomas Professor of Leadership & Organizational Change
Kellogg School of Management
Northwestern University

Emmanuel Thiveaud

Emmanuel Thiveaud

VP, Research Analytics
Clarivate Analytics

Dashun Wang

Dashun Wang

Associate Professor of Management & Organizations
Kellogg School of Management
Northwestern University

Bruce Weinberg

Bruce Weinberg

Professor of Economics
Ohio State University, IZA, & NBER

Ian Wesley-Smith

Ian Wesley-Smith

PhD Student
University of Washington

Jevin West

Jevin West

University of Washington

Xiaoran Yan

Xiaoran Yan

Research Scientist
Network Science Institute
Indiana University, Bloomington

Ewa Zegler-Poleska

Ewa Zegler-Poleska

Information Science PhD student
School of Informatics and Computing
Indiana University, Bloomington

Sifan Zhou

Sifan Zhou

Postdoctoral Fellow
Harvard University

Interested but could not attend.

Patricia Brennan

Patricia Brennan

VP, Technology & Platform Product Management
Clarivate Analytics

Fil Menczer

Fil Menczer

Professor of Informatics & Computer Science
Director of The Center for Complex Networks & Systems Research (CNetS)
Indiana University, Bloomington

Tim Slaper

Tim Slaper

Director of Economic Analysis
Indiana Business Research Center
Kelley School of Business
Indiana University, Bloomington

Aditya Tandon

Aditya Tandon

Graduate Student
The Center for Complex Networks & Systems Research (CNetS)
Indiana University, Bloomington

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