SciVal November Release

Academic institutions are facing increasing obstacles to fulfilling their mission of teaching, research and civic responsibility. The competition for

research funding and faculty has grown ever more intense and making decisions regarding where to allocate resources ever more critical. Gathering competitive intelligence on your academic peers will help guide decision making by transforming dis-aggregated information into actionable intelligence that can be used to capitalize on your institution’s strengths and grow research dollars.

Join to learn how you can use research intelligence tools to support strategic decisions.

Speakers:
• Karen Walker - Assistant Director of Research Development, Arizona State University

• Jamie Welch - Competitive Intelligence Analyst, Arizona State University

• Linda Galloway - Customer Consultant, Elsevier

Elsevier's RDM solution - Mendeley Data - fully supports the research lifecycle, providing you with tools to discover, collect, share and publish research data.  

Join our webinar to discover more about Mendeley Data, and what it can do for you.

In 2015, the world’s heads of state and governments adopted an unprecedentedly ambitious and transformative development agenda, designed to promote a more sustainable development for both humans and the planet we inhabit, towards 2030. On the basis of its research, education and community engagement, SDU wishes to contribute to all of UN’s 17 Sustainable Development Goals (SDGs). The SDG Research Areas in SciVal are helpful for researchers and research managers to identify areas of strength and foster collaboration on research supporting the progress towards the SDGs. SDU also works independently with mapping of research to SDG’s and is exploring the limits of the SciVal definitions and ways to improve the identification of SDG related research and facilitate its dissemination in society to solve the global challenges we are facing.

Since the inception of the United Nations Sustainable Development Goals (SDGs) in 2015, universities are making unprecedented moves to understand, in a broader sense, how they can make positive contributions to the 17 SDGs through research, teaching, and community engagement. Join Dr Jingwen Mu, Senior Planning Analyst at the University of Auckland and Chris James, Senior Product Manager for SciVal, to learn how the SDG queries were created and to see how the university that topped the inaugural Times Higher Education Impact Rankings, is making use of Research Areas in SciVal to identify and understand the University’s key research activities and research teams working towards the SDGs.

Are you keen to learn more about research data management (RDM) but not sure where to start? Or do you want to hear how other institutions are implementing RDM?

Join our webinar to find out more.

Guest speakers include Dr. Andrew C. White, Director of Library Information Services, Rensselaer Polytechnic Institute (RPI) who will share insights about how RPI is managing research data effectively.

Rong Tang, PhD, Associate Professor, School of Library and Information Science, Simmons University would also like to share information about the newly launched Research Data Management Librarian Academy (RDMLA) – a free online program created by a team of expert librarians in the Northeastern United States.

In 1951, a young black woman named Henrietta Lacks was diagnosed with cervical cancer. During her treatment, her doctor took a sample of her cells and tried to grow them in culture. The cells, called HeLa cells, were the first human cells that could be grown in a laboratory and are still the most widely studied cells in biomedical research, having led to treatments for diseases such as polio, HIV, and cancer.

Join the webinar on Wednesday, November 13, 11:00-12:00 PM EST, where Chris Belter, Informationist at the NIH Library, National Institutes of Health, will discuss how he used advanced analytics and Research Intelligence solutions to analyze the research fields and impact that has resulted from the use of HeLa cells, an approach that can be used to investigate the impact of other research areas as well.

In the face of a hypercompetitive landscape, securing research funding is a growing challenge for Canadian universities and research institutions. Research development professionals and research administrators need solutions that offer insight and intelligence into the complicated funding landscape, to discover opportunities that are the best match for their researchers and institutions, and to identify the best experts as potential collaborators and reviewers.

Join us for a webinar to learn how Elsevier’s Funding Solutions portfolio can address these needs, equipping institutional research support staff with time- and effort-saving tools for identifying funding opportunities and experts.

Securing research funding is a growing challenge for universities and research institutions across Latin America in the face of a hypercompetitive landscape. Research development professionals and research administrators need solutions that offer insight and intelligence into the complicated funding landscape, to discover opportunities that are the best match for their researchers and institutions, and to identify the best experts as potential collaborators and reviewers.

Join us for a webinar to learn how Elsevier’s Funding Solutions portfolio can address these needs, equipping institutional research support staff with time- and effort-saving tools for identifying funding opportunities and experts.

Securing research funding is a growing challenge for Australian universities and research institutions in the face of a hypercompetitive landscape. Research development professionals and research administrators need solutions that offer insight and intelligence into the complicated funding landscape, to discover opportunities that are the best match for their researchers and institutions, and to identify the best experts as potential collaborators and reviewers.

Join us for a webinar to learn how Elsevier’s Funding Solutions portfolio can address these needs, equipping institutional research support staff with time- and effort-saving tools for identifying funding opportunities and experts.

In the face of a hypercompetitive landscapes, securing research funding is a growing challenge for universities and research institutions in the US. Research development professionals and research administrators need solutions that offer insight and intelligence into the complicated funding landscape, to discover opportunities that are the best match for their researchers and institutions, and to identify the best experts as potential collaborators and reviewers.

Join us for a webinar to learn how Elsevier’s Funding Solutions portfolio can address these needs, equipping institutional research support staff with time- and effort-saving tools for identifying funding opportunities and experts.

Aston University has hosted Pure locally since we adopted it as our CRIS in 2012. In the spring of 2019 we determined that moving Pure to an Elsevier hosted and maintained solution would deliver the stability and resources needed to support critical government research assessment activities (Research Excellence Framework 2021) as well as the day-to-day use of Pure by our academics. The main drivers for the move were performance issues, limited institutional technical knowledge and capacity to support and update Pure, and also a desire to switch to the new Pure Portal and stay on top of critical system updates.
This presentation will share how Aston determined which hosting solution was appropriate for its needs, and the activities necessary to migrate a locally hosted Pure and new portal, including:
•Setting up, testing and verifying synchronisations, user authentication, online import sources, and mail settings.
•Working with our repository host to establish and test the Pure-Eprints connector.
•Testing and verifying the result of the transfer of the local Pure database to a hosted environment.
•Configuring the new Pure Portal in line with the university branding.
We will finish our talk with a discussion of the lessons learned from the project, including the challenges encountered and benefits realised, and feedback from our community of users.

In 2016, Montclair State University adopted Digital Commons as its IR and showcasing solution. This was an initiative led by the library to showcase faculty publications, books, student theses and dissertations, and institution-led journals.

In 2018, as part of the ResearchwithNJ initiative, Montclair State University adopted Pure. This was an initiative led by the Vice Provost for Research to highlight the University’s research expertise to foster new and stronger industry collaborations.

In late 2018, driven by a desire to maximize the utility and coordination between both platforms, Montclair State University initiated its participation in the Pure-Digital Commons beta integration program. The program supported a select set of joint customers in leveraging the strengths of both platforms to further advance the institution’s goals: a robust system of institutional records in Pure were transferred to populate Digital Commons and maximize the visibility of the institution’s output.

This presentation will highlight the steps and considerations the combined library and research office teams went through together with Elsevier to define the integration and flow of records, and highlight the results and anticipated impacts.

Since the Altmetrics Manifesto in 2010, we have seen a number of commercial solutions enter the market that aggregate various metrics and render them either on a native dashboard or embedded in portals and other web sites. The UK-based Altmetric was a pioneer in offering a free API. Lately, Crossref has started to deliver detailed open data on e.g. Twitter and Wikipedia via their Event Data API.

Aalto University does not officially make use of altmetrics in decision making. Yet, there is a fair amount of curiosity among academia in whether their publications have gathered interest online, how much, when, and from whom. To fulfill these wishes and to experiment with open APIs we have produced a series of snapshots as interactive web apps built with the R Shiny package.

In this presentation I will show some examples and go through the technical process, starting from the initial step of exporting DOIs from Pure.

The University Hospital of Brussels (UZB) is required to report on its scientific activities for 1) payroll tax exemptions, 2) additional hospital funding and 3) the annual report of the hospital.

In Belgium there is a partial exemption for payroll taxes when a company can prove that its employees dedicate at least 50% of their time to research. This measure was put in place to strengthen the competitiveness of research companies in Belgium. In order to prove this all academic hospitals in Belgium agreed upon a list of research activities a physician can use in order to demonstrate his/her research efforts. Each research activity was assigned a specific amount of credits an in order to qualify for tax exemptions a researcher need to accumulate a yearly total of 12 credits.

Vrije Universiteit Brussel (VUB) and the university hospital are one legal entity. However, physicians didn’t have access to Pure. Seeing as the VUB and the UZB are one legal entity, and because the VUB had already had implemented a CRIS the decision was made to manage all the research output of the UZB in the CRIS of the VUB.

In this presentation the way of reporting for payroll tax exemptions will be the main focus.

Monash University is considered an “extra large” institution (QS Definitions >30,000 student FTE) and has over 6,000 academic staff users of Pure.

Our comprehensive engagement with many of the Pure modules available also means that there are multiple stakeholders for the product across the University, including but not limited to;

Technical support staff (e-Solutions)
Staff involved in Applications and Awards (Monash Research Office)
Finance staff
Library staff
Staff managing Research Outputs (ROCS)
Staff managing Data Integrity (Data Governance)
Staff involved in ERA (Excellence in Research Australia) submission
One of our strengths has been the establishment of a team comprising representation from all these different stakeholders. This team has worked, using the Agile methodology, as a collaborative unit to deliver:

Training and support to users
Technical support for configurations, break-fixes, upgrades etc.
Investigations into new features of Pure and how these can be used at Monash
In this approach, stakeholders from different areas of the University become informed of, and respect, the critical use periods of Pure in other areas of the institution. As a team, we are able to make informed decisions about Pure upgrades: negotiating timeframes around external funder deadlines, discussing if particular bug fixes are urgently required for one group of users and identifying if there are any “show-shoppers” in any areas of the product which will prevent upgrade.

Additionally, the different stakeholders are able to negotiate which features, fixes and investigations for which areas of the product should be prioritised to deliver the best outcomes for users.

Securing research funding is a growing challenge for universities and research institutions in the face of a hyper competitive landscape. Research development professionals and research administrators need solutions that offer insight and intelligence into the complicated funding landscape, to discover opportunities that are the best match for their researchers and institutions. In this session, learn how Funding Institutional will integrate with Pure, linking effective funding discovery and research management, and hear from the Pure product team how Pure will support a range of funding opportunity data sources over time.

Each year there are new users joining the Pure community; either from a university who just introduced Pure, or from an institute that had been using the system for some time. There is a common challenge, how to get the new users up to speed while facing a system that is so complex. During this session, we provide an overview of our training resources, processes and methods; we would also like make it more interactive by inviting you to share what worked best and what need to improve. Your valuable inputs will be used by our product and support team to design and build a better training program.

Funders and Government agencies increasingly ask grantees to share datasets from funded projects. Current Research Information Systems (CRIS) play a crucial role – enabling compliance and showcasing datasets as first-class institutional research output.

Institutional data repositories are one place where researchers can publish their data, but what happens if a researcher decides to publish their dataset somewhere else? It’s going to be challenging for an institution to discover all datasets and track them in a CRIS.

Our Pure and Mendeley Data teams have joined forces to find a way to solve this issue. Following an initial presentation at the Pure 2018 conference, we’re now excited to present a fully automated and configurable solution that enables institutions to import dataset metadata into Pure from major data repositories from around the world, thanks to our content enrichment capabilities and the power of the Mendeley Data Search API.

The status of datasets within research has become more prominent, which is apparent by the increased adaptation of the FAIR principles. It has become clear that data may be one of the most valuable products resulting from research.

The need to collect and profile metadata on datasets is growing. This is because it will lead to even better research through sharing and reusing data. Pure can help to facilitate these ambitions, but if improved it can serve them even better.

In different user groups Pure managers have looked at the ways Pure can help researchers when it comes to datasets. Our findings could be categorized under the following fields: Interconnectivity, Usability, Administration and Profiling. Through this poster we would like to present the findings on how to improve datasets in Pure.