Streamlyne Implementation

This page will be updated on a regular basis as the Streamlyne implementation project progresses.  It is expected that NMSU will cut over to Streamlyne around July 2022.

 

For more information on Streamlyne please see https://streamlyne.com

Streamlyne UP! video series

Module Demos [ Pre-Award | Award | IRB | IACUC | COI | Reports & Dashboards ]

Please direct questions related to NMSU's implementation of Streamlyne to streamlyne@nmsu.edu


Implementation Team

Phillip DeLeon, OVPR, Associate Vice President for Research

Alisha Giron, OVPR, Assistant Vice President for Research

Rita Parra, OVPR, Director, Pre-Award Administration

Pam Jeffries, ICT, Director, Enterprise Application Services

Paul Lucero, ICT, Manager, Enterprise Information Services

Technical Team

Kevin Muir, ICT, Enterprise Programmer

Gerald Smith, ICT, Enterprise Programmer


News

2021-09-30

NMSU met the first project milestone on Sept. 24 by delivering data via files for one time loads or via API. Foundational data was extracted from ARGIS, Banner, and the data warehouse using custom scripts and in some instances, custom code was developed for data post-processing and formatting. The foundational data included NMSU units and hierarchy, faculty/staff information, external sponsors, external subcontractors, NMSU accounts and codes, etc. Each data component has upwards of many tens of fields and collectively many tens/hundreds of tables, hundreds of fields, and thousands of records. The Streamlyne team will next load supplied data into the system and verify before the Oct. 1 deadline. NMSU is currently extracting remaining HR data and expects to deliver this data to Streamlyne by Oct. 8. Finally, NMSU has initiated transfer of records from the Collaborative Institutional Training Initiative (CITI) Program to Streamlyne via a licensed API from CITI which will help in further integrating and synchronizing NMSU's research-related systems.

2021-09-17

On Sept. 17, Streamlyne demonstrated system reporting capabilities to the Council on Associate Deans for Research (CADRe). For those interested in a preview of the Streamlyne system, short introductory videos and demos may be found at at the top of this page. We anticipate Streamlyne training to begin next spring.

2021-08-31

Over five half day meetings during Aug. 2-13, the NMSU implementation team met with the Streamlyne team in order to plan the year-long project. During this time NMSU received an overview of all of the required foundational and configuration data and the team began planning for where this data will be sourced, i.e. ARGIS, Banner, data warehouse, etc. ICT's Paul Lucero, technical lead on the project, with the support of Gerald Smith and Kevin Muir are responsible for developing data integrations and interfaces between Streamlyne and other University systems, as well as, other required technical tasks. During August 16-31 NMSU's technical team has been on working with the Streamlyne technical team on the mappings (many hundred) from NMSU data to required fields in Streamlyne. Our approach to importing data into Streamlyne will be in the form of a "one-time load" or via Application Programming Interfaces (APIs) -- the latter used for that data which needs to be refreshed regularly once Streamlyne is active. In parallel, Paul, Gerald, and Kevin have been developing custom software to extract data from the NMSU side, format data into the proper file formats for the one-time loads, and push data into Streamlyne via API. The foundational data requirements are planned to be completed in early October.

2021-07-30

Kickoff meetings between Streamlyne and the NMSU implementation team have been scheduled for August 2, 4, 6, 10, and 12. The kickoff begins with development and review of the overall project plan and will include both VPR Luis Cifuentes and interim CIO Chris Kielt. Considerable time will be devoted to understanding and developing the required foundational and configuration data. Research enterprise data typically includes NMSU's organizational units and hierarchy, researcher/PI information, HR information, and sponsors.  Much of the legacy data is expected to be mapped and imported into Streamlyne from ARGIS while other data will be exchanged with existing systems such as Banner, via application programming interfaces.

2021-07-07

The Office of the Vice President for Research is happy to announce that Streamlyne has been selected as the next electronic Research Administration (eRA) system for the NMSU research enterprise replacing ARGIS and eventually Maestro, filling in existing gaps in our current systems, and adding new features and capabilities. We invite the NMSU research community to view the Streamlyne Research Highlights video on YouTube.