Research notes: Tips for navigating federal funding from the lab to the internet

houston voices

Every researcher needs a Digital Persistent Identifier.

As a researcher, what is more important to you than a record of your research and scholarship? A Digital Persistent Identifier, or DPI, distinguishes you and your work from that of your peers – and having one will be mandated for those receiving federal funding. Let’s take a deeper look at why this number is so important. We’ll also compare the different platforms— ORCID, Web of Science, Scopus and Google Scholar — so that you can be sure your publications, presentations, peer reviews and even information about who is citing you are being properly stored and accessed.

ORCID

There are many types of profiles and DPIs that can meet your needs, but there’s no silver bullet. Placing your work onto multiple platforms is necessary according to Andrea Malone, Research Visibility and Impact Coordinator at UH Libraries. She cautions researchers to “be realistic about how many identifiers you can maintain.”

The most popular is ORCID, which stands for Open Researcher and Contributor ID. It’s free to set up, and there is no chance of accidentally or on-purpose having multiple ORCID accounts – it’s assigned to you like a social security number and follows you, the researcher. This comes in particularly especially handy for researchers with common names.

An identifier is federally mandated for those receiving governmental funds. It is not specified that ORCID must be that identifier. For example, according to Malone: “a Web of Science profile also assigns an identifier, which would also satisfy the mandate.” But most researchers choose ORCID because it’s publicly available with no access restrictions.

While an ORCID number is free for researchers, there is a subscription fee for an institution to be associated with ORCID. Information will not pre-populate in an ORCID profile and it doesn’t track citation counts – it only shows what you put in. There are, however, linking wizards that allow you to link from Web of Science and Scopus to your ORCID account. If you choose this option, citations will automatically populate in your ORCID profile. It’s up to the researcher to doublecheck to be sure the information has automated, however.

Google Scholar

Google Scholar is a profile, not an identifier, so it does not comply with federal funding requirements. It is free, however, and it pulls from the open web. You can choose to have your list of articles updated automatically, review the updates yourself or manually update your articles at any time. Google Scholar also specifies which articles are open access. A PDF or HTML icon will appear on the righthand side of each citation for one to download articles.

Web of Science Vs. Scopus

Scopus is known for covering more journals and a wider range of metrics to evaluate research impact than Web of Science. Different platforms are a go-to for certain disciplines – for example, Web of Science is usually associated with hard sciences, although investigators in the social sciences and humanities also place their work on this platform from time to time. It’s a good idea to check out which platforms others in your discipline are using for their profiles.

Staying up-to-date

Of course, DPIs don’t work as intended unless researchers keep their profiles current. That means you need to check your profile after every publication and every time you switch to a new institution. Just as you would update your CV, you must update your ORCID or other DPI profile.

One tactic Malone suggests is setting a schedule either biweekly or monthly to check all your profiles. “One thing that’s helpful is that with all of them, you can set up alerts and create an alert as often as you want,” Malone goes on. “At that time, the program will scrawl the content within the source and alert you to anytime any of your publications appear in their database.”

The Big Idea

No one tool can paint a complete picture of all your scholarship. Be strategic and intentional about which platforms you use. Consider your audience, the platforms others in your discipline use and make sure you have an ORCID profile to comply with the federal mandate. But be careful not to sign up for more than you can feasibly maintain and keep current.

------

This article originally appeared on the University of Houston's The Big Idea. Sarah Hill, the author of this piece, is the communications manager for the UH Division of Research.

Houston professor earns Google Scholar award for quantum computing research

recent recognition

A Rice University quantum computer scientist was one of 78 global professors to be presented with a 2023 Google Scholar award, the university announced this month.

Nai-Hui Chia, an assistant professor of computer science at Rice, was recognized for his research on Hamiltonian simulations, a method for representing the motion of moving particles. Chia aims to understand if quantum computers or machines can simulate a "Hamiltonian matrix" with a shorter evolution time.

"We call this fast-forwarding for a Hamiltonian simulation,” Chia says in a statement.

Chia aims to use the funds from Google to discover Hamiltonians that can be fast-forwarded using parallelism or classical computation, according to Rice. He will present his current work on Hamiltonians and their connection to cryptology in July at the 2023 Computational Complexity Conference in Warwick, UK.

The Google Research Scholar program grants funds of up to $60,000 to support professors' research around the world. This year's cohort works in fields ranging from algorithms and optimization to natural language processing to health research.

Three other Texas researchers were awarded funds in the 2023 cohort.

The University of Texas at Austin's Jon Tamir was awarded for his work in applied sciences. Atlas Wang, also from UT, was awarded in the machine learning and data mining category. Shenglong Xu, from Texas A&M University, joined Chia in the quantum computing category.

Tech behemoth Google has awarded funds to several Houston innovators in recent years.

Last summer the company named AnswerBite, Boxes and Ease to its inaugural cohort of the Google for Startups Latino Founders Fund. Selected companies received an equity-free $100,000 investment, as well as programming and support from Google.

In September 2022, ChurchSpace and Enrichly were named part of the Google for Startups Black Founders Fund. The companies also received $100,000 non-dilutive awards along with mentoring and support.

Ad Placement 300x100

Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

Houston researchers develop material to boost AI speed and cut energy use

ai research

A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

Top Topics

Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

jobs report

For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

View All Listings

INNOVATIONMAP EMAILS ARE AWESOME