Call for Participation

ASIST 2022 Workshop: Metadata Analytics Crash Course & Collaboration Capacity Hackathon

In this free, two-session workshop, we invite information professionals, researchers, and students to learn about and explore large scale metadata analytics and the emerging theory of collaboration capacity.
 
Large scale metadata exists in bibliographic, indexing, and research data repositories and is an important part of the cyberinfrastructure supporting information and data management, discovery, sharing, and reuse. Its other role – as a primary data source for research – is less visible and is still a new area waiting to be explored. The emerging space of largescale metadata analytics encompasses a wide range of topics, methods, and applications and includes bibliometrics, citation analysis, scientometrics, and informetrics. Additionally, new theories are emerging out of this space, such as Collaboration Capacity, which is the ability of an individual, group, or institution to assemble and effectively use available science and technology human capital.
 
The purpose of this workshop is to engage with information professionals, researchers, and students for the purpose of exploring, and developing and diffusing knowledge about large scale metadata analytics and collaboration capacity. To do this, we have curated a large collection of metadata that we will share out to teams who can explore the data and come back in the second session to share their results and see what others have done.
 
The workshop will start with an expert panel to introduce large scale metadata analytics and collaboration capacity. We will demo tools and begin a conversation about what kinds of features new tools should have for working in this space. The data and other resources will be introduced and made available to teams, which we will put together based on who registers. Teams will have the remainder of the day and night for a hackathon,[AS2]  and present what they uncover in the dataset during the session on the next day.

The workshop is part of the GenBank metadata analytics project funded by the National institute of General Medical Science (NIGMS). The workshop registration fee will be waived for the first 30 participants for ASIST members. Non-ASIST members within the first 30 participants will pay $45 if they are students and $150 if they are non-student participants (equal to one-year membership per the policy of ASIST).

How to participate: Please follow the link to register on this Google Form. The deadline for registration for this workshop is August 30.  Please note that this Google Form is used by the organizing team to collect participants’ names and information and assign participants into teams. This is NOT a registration form for the ASIST conference.

Note that prizes will be given out and one key outcome of the workshop will be a report for Information Matters that highlights the team’s work with, and analysis of, the provided metadata.

 

Two-Session Workshop Schedule

 

Session 1: 8:00 AM to Noon, Friday, 28th October

9:00 – 9:10          Opening Remarks

9:10 – 10:00        Expert Panel on Collaboration Capacity & Q&A

10:00 – 10:30     Demo, Feedback & Q&A 

10:30 – 11:00      Coffee Break

11:00 – 12:00     Group Breakout

 

Session 2: 8:00 AM to Noon, Saturday, 29th October

9:00 – 9:10          Opening Remarks

9:10 – 10:30        Team Presentation (1.5 hours of presentations, 15 minutes each group)

10:30 – 11:00      Coffee Break

11:00 – 11:30      Expert Panel Evaluation

11:30 – 12:00     Prizes, Rankings, & Closing Remarks

 

Important Dates

July 30: Deadline for submitting form

August 30: Notification Confirmation from Organizers about participation and links to resources

September 30: Links to data and resources

October 28th: Workshop session 1

October 29th: Workshop session 2

 

Organizing Committee:

Jeff Hemsley, Syracuse University (Contact jjhemsle@syr.edu for questions regarding this call)

Jian Qin, Syracuse University

Sarah Bratt, University of Arizona

Alex Smith, Syracuse University