DataCoLAB Interview: Amit Verma & Mike Simko
Channel: Carnegie Mellon University Libraries
Date: 2021-02-10

In Fall 2020, dataCoLAB interviewed Amit Verma and Mike Simko about their experience working with dataCoLAB. 

The project discussed in the video was inspired by a rapidly developing trend of informatics in materials science, and explores the application of Natural Language Processing (NLP) tools to develop a knowledge base for high temperature materials. The researchers are building this database by using text mining and NLP tools to extract data from journal articles and open source documents accessed through Carnegie Mellon's University Libraries. 

The Data Collaborations Lab (dataCoLAB) at Carnegie Mellon University Libraries provided tools and helped establish collaboration with partners. DataCoLAB facilitates collaborations between data producers and data scientists, connecting researchers and creating opportunities for people with different technical and disciplinary backgrounds to work together.  Learn more about dataCoLAB at https://cmu-lib.github.io/data-colab.

0:00:54 What were your motivations for reaching out to the dataCoLAB?
0:03:46 How did your project develop and evolve?
0:05:52 How was working with dataCoLAB helpful?
0:08:21 What practices and tools helped the collaboration run smoothly?
0:12:20 Describe the value of research collaboration. What are some of the challenges?
0:15:13 What has ben the most exciting or satisfying thing about this experience so far?