Name: #PRCN2019:A DIY altmetrics dashboard written in R using data from Pure
Start: 2019-10-17T11:50:00Z
End: 2019-10-17T12:04:25.000Z
Location: BrightTALK
Rating: 0

Answering the most pressing challenges researchers and research managers face, with innovative solutions that improve an institution's and individual's ability to establish, execute and evaluate research strategy and performance.

For all universities ranked in THE’s World University Rankings, you can now use SciVal to analyze the drivers behind 38.5 % of the total THE rankings score (30% for Citations Score, 6% for research productivity indicator and 2.5% for the international collaboration indicator). Join our webinar on Tuesday July 6, to hear from Heesang Jeon (SciVal Product Manager) to understand how you can find more robust information and transparency around the bibliometrics used in the THE World University Rankings (WUR).

We will explain how the inclusion of the THE World University Rankings publication and citation information in SciVal can help you:
 > Gather more precise insights into ranking outcomes by analyzing and understanding the drivers behind the Citations Score which contributes 30% to the overall Ranking 
> Benchmark and understand your university's position across the bibliometric drivers and at the THE subject area level, without the need to generate proxies and manually curate the bibliometric datasets.
> Inform decision-making and strategy with insights based on the actual dataset used by THE and the actual Field-Weighted Citation Impact and Citations Scores used in 30% of the THE WUR

Analyze, understand and benchmark your performance with SciVal Rankings

In an increasingly competitive, complex and dynamic research environment, the needs for tracking and showcasing your research performance leads to weighing the options for investing in (or not) a Current Research Information System, or CRIS. But from interoperability with other systems to reporting needs and challenges to the “build or buy” dilemma, making the decision to implement a CRIS can present its own challenges.

Increasing Institutional Research Success with CRIS - Day 1

Managing, Assessing & Showcasing Research Success with a CRIS - Day 2

Managing, Assessing & Showcasing Research Success with CRIS - Day 1

Each year the date ranges available in SciVal are moved forward by one years to make the latest year of data available for use. In 2021, this will occur on June 15th. To help you prepare for the year range change, please join this webinar where SciVal Product Manager, Heesang Jeon will explain the changes you can expect with this release, along with handy tips on how to save your analyses with the current year ranges and use report templates to speed up the whole process.

SciVal's year range update - saving current analyses and using report templates

Research assessment should not be centered solely on bibliometrics such as publication and citation metrics but should encompass other measures that address the broad range of assessment-related questions. These cover research inputs, outputs and outcomes, such as funding, collaboration, usage, commercialization and the adoption of innovation. As more diverse data sources and metrics are used, a richer and more informative picture of research emerges.

The International Center for the Study of Research (ICSR) was established by Elsevier in 2019 with a mission to further the study of research and thus to contribute to the evidence base supporting the practice of research strategy, evaluation and policy. In 2020, ICSR and Elsevier signed the Declaration on Research Assessment (DORA) and endorsed the Leiden Manifesto for Research Metrics, two internationally-recognized statements of best practice in responsible research assessment.

In this Library Connect webinar, Christopher Belter will discuss what responsible research assessment might look like in practice for a large biomedical funding agency. ICSR staff members Andrew Plume and Holly Falk-Krzesinski will then discuss the recommendations of both DORA and the Leiden Manifesto and their implications for Elsevier as well as for librarians and their users.

Introduction:    
M.J. Tooey, Associate Vice President, Academic Affairs and Executive Director, Health Sciences and Human Services Library, University of Maryland, Baltimore
Presenters:         
Christopher Belter, Program Analyst, Eunice Kennedy Shriver NICHD Development                             
Holly Falk-Krzesinski, Vice President, Research Intelligence, Elsevier
Andrew Plume, President, International Center for the Study of Research; and Senior Director of Research Evaluation, Elsevier

Advancing responsible research assessment: implications for librarians

One of the primary purposes of the IR is to serve an institution’s faculty by representing the full breadth of their works.  However, creating a comprehensive archive is one of the hardest, most burdensome challenges for IR managers.

Register now to learn about the new Scopus-to-Digital Commons harvesting API, which can save IR managers up to 90% of the time it typically takes to add faculty publication records into the IR. 

Hear from two institutions, Michigan Technological University and Missouri University of Science and Technology, as they share their experiences using the API to populate their IRs and showcase their faculty’s work to the world.

Live audience Q&A will follow.

Presenters:
- Shandon Quinn, VP Product Management, Digital Commons
- Annelise Doll, Scholarly Communications and Repositories Librarian, Michigan Tech University
- Nancy Krost, Institutional Repository Coordinator, Missouri University of Science and Technology

How to Populate Your IR in Less Time: Harvesting Scopus Data in Digital Commons

Funding is a major priority for research institutions but finding and securing grants is a time-consuming and increasingly competitive process. To succeed you need to gain insight into the complicated funding landscape, discover hidden opportunities and make informed decisions.

It comes down to having the right information – the right insights – to select the bids best suited to researchers’ areas of expertise.

Elsevier’s Funding Institutional offers access to that vital information with over 21K active, multidisciplinary grants from a wide array of public and private funders from around the world, over 6.7M awards and over 5,300 funder profiles.

Funding Your Research: Keys to Increasing Grant Success Rates

CERIF is the European standard for research information management maintained by the euroCRIS non-profit association in the Netherlands. CERIF exists to ensure that research information may be shared, exchanged and mined across Current Research Information Systems or CRISs of various kinds including institutional, subject-specific, regional, national and funder ones. The way this is achieved is via the definition of a harmonised relational entity data model that covers the main conceptual elements associated to research. People (researchers), organisations (institutions) and research projects are the core entities of the CERIF data model, to which a number of secondary ones are connected such as research publications, research instruments and facilities or research data and patents.

The presentation will describe the CERIF data model and show several of its applications to improve system interoperability, including the integration with the European OpenAIRE Open Science infrastructure.

The CERIF as a tool to enable system interoperability

With research funding waning, and competition increasing, institutions need every advantage to secure research funding. And with an average of 38 days’ work required to develop a proposal, increasing efficiencies and saving time are optimal. Learn how, working together, Pure and Funding Institutional offer institutions a new solution to the old problem of finding funding opportunities with the best chances for success.

#PRCN2020: Improving Research Funding Success with Funding Institutional

Taipei Medical University’s Academic Hub / Pure Experts research system was established in January 2016 with the President’s support in order to underpin strategic planning goals. Up to now the system has cataloged 1,322 experts’ profiles including full-time professors and visiting staff from the Taipei Medical University(TMU) Healthcare System. The total number of the platform page views has reached around 3 million. 

In the past year, we even received 90,000 page views a month. Through deep integration with SciVal from 2018, articles under the Pure group structure from organizations such as colleges, research centers, and entire universities, can be further analyzed using SciVal. In addition, the research metrics enable TMU to support fact-based decision making and faulty performance evaluation. The goal of the research management system is to boost TMU’s research visibility and propel international collaboration with TMU’s researchers. 

This presentation sets out how we promote TMU’s Academic Hub / Pure Experts Research System to improve platform visibility, data integrity, and data accuracy. We accomplished this in a variety of ways, by conducting various activities such as training courses, international conferences, video recordings, and press releases. Furthermore, we commissioned a survey questionnaire to collect user behaviors including access channels, frequency of use, the purpose of use, system functional requirements, and system satisfaction. We also executed an analysis based on researcher's needs to evaluate the system user experience from a researcher's point of view. This will help us to plan our future applications of the system.

#PRCN2020: Pure to showcase & monitor research performance (Taipei Medical Univ)

At Monash, managing Pure operations involves continually interacting with the changes in both Pure and other University systems as well as changes in business processes whilst keeping the system operational and up to date. In this session we will look into how we manage Pure, including the various integrations of Pure with upstream and downstream systems, the automations enabled to assist with user access management and the extensive testing processes followed as part of the release management.

We will also discuss some of the infrastructure improvements that have enabled us to have more flexible Pure environments, thereby enabling the business to rapidly onboard new processes and modules, without interrupting other ongoing projects within Pure. Monash University is one of the leading universities in Australia with over 86,000 students and 9,000 FTE staff. Research at Monash occurs over 10 Faculties, with approximately 10,000 outputs published per year, over 3500 funding applications submitted per annum and in 2019 were awarded the 3rd highest amount of research income in Australia from the 2 major national funding bodies.

#PRCN2020:  Managing Technical Support of Pure at Monash

The arrival of COVID-19 threw changes at many of us; a significant change being no longer able to interact with people directly and the rise of the "Zoom" meeting and virtual interactions.

Whilst this may have been a challenge for other Pure User Groups, the Australian and New Zealand (ANZ) Pure User Group have been meeting virtually for over 3 years.

Participaing in virtual meetings and managing a user group meeting virtually can have challenges such as getting user participation, allowing robust discussion, determining consensus on issues and managing the mute button.

This presentation will explore the challenges and offer some of the strategies which have been used by the ANZ Pure User Group to both encourage participation and allow for effective management of virtual meetings.

#PRCN2020: Participating in and Managing a Pure User Group Virtually

The University of Western Australia originally acquired Pure in 2014 as a Repository and source of truth for publication information. Since then, it has steadily expanded to include a greater breadth of information on researchers and has replaced the University’s contact directory for staff profile information.

The Research Office and Faculties in the University of Western Australia are increasingly relying on Pure to identify researchers by expertise and research area. Fingerprints have been a popular way to identify researchers in specific fields and for finding collaborators and mentors, as well as more recently, for matching researchers with funding opportunities.

Our team has been working closely with Elsevier to improve fingerprint aggregation in our researchers’ profiles. We will outline the advantages and limitations of using fingerprints.

#PRCN2020: Fingerprinting, use cases and effectiveness at UWA

During the early months of the COVID-19 pandemic, the submission rate to scholarly journals increased abnormally (e.g., more than 90% in Elsevier’s health & medicine journals). Given that most academics have been forced to work from home, the competing demands for home-schooling, child and other care duties might have penalised the scientific productivity of women. To test this hypothesis, we looked at submitted manuscripts and peer review activities for all Elsevier journals between February and May 2018-2020, including data on almost 6 million academics. Results showed that women submitted proportionally fewer manuscripts than men during the COVID-19 lockdown months. This deficit was especially pronounced among women in more advanced stages of their career. The rate of peer-review invitation acceptance showed a less pronounced gender pattern, with the exception of health & medicine, where women were also less keen to accept reviewing. Our findings indicate that the pandemic has already created cumulative advantages for men.

#PRCN2020:  COVID lockdown, unbalanced Impact on Women and implications

Performance measurement is a core driver for an organisational growth and can serve as an early institutional health check system. While the concept of a dashboard has been widely used in the private sector for years, the interest in business intelligence, data analytics, and data visualisation in relation to measuring individual academic performance expectations grew just recently. 

This session will shed a light on Total Research Explorer (T-Rex) designed to monitor the individual progress against Performance Expectations for Academic Staff (PEAS) at the University of Canberra. We will focus on the dashboard structure, user experience design, and integration with external dynamic and static data sources.

Special attention will be devoted to the integration with the Pure Research Management System highlighting the potential issues and roadmap for future development.

#PRCN2020:  Total Research Explorer – Interconnectivity for the academic perform

The interoperability of persistent identifiers (PIDs) like ORCID and Current Research Information Systems (CRIS) like Pure manifests a global-scale research infrastructure, which enables trusted connections and serves as the foundation for Open Science. This presentation will give an overview on ORCID and Pure collaborations, specifically how the Pure community in the APAC region can benefit from adopting PIDs like ORCID to support the principles of Open Science. 

Making science truly open relies on improving data quality and transparency, so that not only can researchers easily share their work, but research institutes can easily acquire the most accurate and up-to-date research information in an open and interoperable way. Such interoperability requires a robust, global-scale infrastructure that enables linkages between researchers, research institutions, publishers, and funding organizations. 

The use of PIDs—like ORCID—along with a CRIS—such as Elsevier’s Pure—supports the research community in collecting, managing, analyzing and showcasing data about the research conducted at an institution. This is realized by research institutions asserting affiliations to researchers’ ORCID records, exporting other data to researchers’ ORCID records, such as other identifiers (like Scopus Author ID) or research outputs. Research institutes can collect information about their researchers like awards or works connected to the ORCID Registry by publishers or funders to curate data in Pure. Integrating ORCID iDs into Pure reduces administrative burden and allows research institutes to reliably link researchers with their contributions and affiliations, and to synchronize data between Pure and multiple platforms.

#PRCN2020: ORCID and Pure: Collaborating for Trusted Connections & Open Science

We constantly look at how to improve the metrics available to you. Authorship analyses and contribution to the UN SDGs are two such improvements happening in 2020.

In many disciplines, different types of authorship are indicated on the publication and can be used as a proxy of the researcher's contribution in the research done on the publication. 

This session will introduce the new authorship metrics on SciVal, along with the SDG Research Mapping Initiative which is currently trying to improve the document to SDG mapping and builds upon last year's presentation.

#PRCN2020: Research Impact and Outcomes - Mapping authorship and SDGs

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.

#PRCN2019:A DIY altmetrics dashboard written in R using data from Pure

#PRCN2019

Pure

Researcher

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#PRCN2019:A DIY altmetrics dashboard written in R using data from Pure

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