Elsevier Research Intelligence - Detailed Review
Research Tools
Elsevier Research Intelligence - Product Overview
Introduction to Elsevier Research Intelligence
Elsevier Research Intelligence is a comprehensive portfolio of research management solutions aimed at helping institutions assess their research strengths, inform decision-making, and optimize research performance across the entire research lifecycle.Primary Function
The primary function of Elsevier Research Intelligence is to provide a unified platform for managing and analyzing research data. This platform helps research leaders and administrators make informed, data-driven decisions by identifying institutional strengths and weaknesses, locating funding opportunities, tracking outcomes, and benchmarking performance against peer institutions.Target Audience
The target audience for Elsevier Research Intelligence includes various stakeholders within research institutions, such as:- Vice chancellors of research
- Research administrators
- Department heads
- Researchers
Key Features
Data and Analytics
Elsevier Research Intelligence combines high-quality data from sources like Scopus, the largest abstract and citation database of peer-reviewed literature, with advanced analytics. This allows for accurate and unbiased research-performance analysis, enabling institutions to build comprehensive research strategies and evaluate outcomes effectively.SciVal and Pure Tools
- SciVal: This tool helps measure research performance, identify areas of strength, and benchmark against other institutions.
- Pure: A research information management system that unifies internal and external databases into a single platform, facilitating easy access, review, and publication of research data. Pure streamlines the generation of reliable reports and ensures data integrity for strategic decisions.
Analytical Services
Elsevier offers customized analytical services, including data-driven reports, national research assessment studies, and research landscape studies. These services help funders and institutions assess the effectiveness of their projects and identify trends that align with their objectives.Technology and Visualizations
The platform features a flexibly structured database with advanced technologies that quickly process vast datasets. It also includes adaptable visualizations that are easy to understand and export, facilitating clear and actionable insights.Collaboration and Funding
Elsevier Research Intelligence aids in locating funding opportunities, tracking outcomes, and facilitating collaboration among researchers and institutions. It helps researchers raise their visibility, expand their networks, and find appropriate funding opportunities. By integrating these elements, Elsevier Research Intelligence provides a comprehensive solution for research management, enabling institutions to make informed decisions and drive successful research outcomes. Elsevier Research Intelligence - User Interface and Experience
User Interface of Pure
Overview Page
- The default landing page for a personal user in Pure is the Overview page, which provides a summary of information about the user and their research. This includes key details such as name, current affiliations, and a brief overview of their curriculum, research description, and employment history.
Tabs and Navigation
- The interface is divided into tabs like “My Profile” and “My Research”. The “My Profile” tab allows users to view and edit their personal information, while the “My Research” tab summarizes content production and collaboration. This includes aggregated citation numbers and visualizations of collaboration networks.
- The left side menu lists all available content types, allowing users to easily access and list submitted items in more detail. For example, clicking on “Research outputs” will display a list of submitted outputs, which can be further filtered by specific types like articles.
Ease of Use
User-Friendly Design
- Ease of use is a significant consideration in the design of these tools. For instance, Lancaster University highlighted the ease of use of SciVal as a key factor in their decision to adopt it. Users appreciated how easy it was to disseminate the tool across academic faculties, indicating a user-friendly interface.
- The tools are intended to be simple and turnkey, integrating data from various sources onto a single platform. This integration helps in providing organized insights, making it easier for users to analyze and make decisions based on the data.
Overall User Experience
Data Presentation
- The user experience is enhanced by the clear and organized presentation of data. Users can easily access different types of content and view detailed information without needing to navigate through multiple complex menus.
- The tools also support various features such as citation tracking and collaboration visualization, which are presented in a clear and understandable manner. This helps in making the overall experience more intuitive and productive.
Conclusion
In summary, the user interface of Elsevier’s Research Intelligence tools, such as Pure, is structured to be user-friendly, with clear navigation and organized presentation of data. This design ensures that users can easily access and utilize the various features and insights provided by the platform.
Elsevier Research Intelligence - Key Features and Functionality
Elsevier Research Intelligence
Elsevier Research Intelligence, a comprehensive portfolio of research management solutions, integrates advanced AI technologies to support various aspects of the research lifecycle. Here are the key features and functionalities of these tools:
Data Infrastructure
Elsevier Research Intelligence provides an underlying infrastructure by connecting high-quality, structured data from various sources, including external databases, researcher data, and institutional data. This connected data allows for a comprehensive view of the research landscape with high accuracy.
AI-Driven Technology
The platform utilizes advanced AI, particularly Natural Language Processing (NLP) algorithms, to mine the rich data. This enables users to track, measure, curate, and gain meaningful insights from the data. AI helps in text mining, summarization, and information extraction from extensive repositories, such as Scopus, which is the world’s largest database of curated scientific literature.
Insight Generation and Decision Support
The toolkit of solutions transforms the rich data into insights that support research goals. This includes databases, analytics, repositories, institutional portals, Research Information Management (RIM) systems, custom metrics, and workflow tools. These insights help in developing evidence-based research strategies, discovering expert collaborators, uncovering funding opportunities, optimizing research administration, and enhancing institutional reputation.
Scopus AI
Scopus AI is a significant component that combines the Scopus database with AI to provide fast and accurate summaries and research insights. This tool facilitates collaboration by identifying relevant and recent researchers in the field. It is particularly useful in fields like genomics, climate science, and social sciences, where vast amounts of data are generated. Scopus AI helps in data analysis, predictive modeling, and extracting intricate patterns, thereby expediting research processes.
Analytical Services
Elsevier’s Analytical Services offer accurate, unbiased analysis on research performance. These services include targeted reports to comprehensive multidimensional studies, data delivery, and web integration services. The analytics team provides insights through careful analysis and creation of reports that answer pressing questions related to research management, funding allocations, research policies, and strategies. Key areas covered include national research assessment studies, funding program assessments, institutional research performance studies, and research landscape studies.
Specific Tools
Scopus
Scopus is an abstract and citation database with bibliometric tools to track, analyze, and visualize research. It contains over 55 million records and is used to measure the impact of publications and compare research output.
SciVal
SciVal provides metrics based on publications by country, institution, department, or author. It helps users compare groups, find collaborators, and identify trends in metrics. SciVal supports strategic planning, faculty recruitment, and R&D assessments.
Funding Institutional
Funding Institutional allows researchers to search for grant opportunities, track award trends, and find potential collaborators. It includes historical data about awards and related publications to help tailor proposals and understand the competitive landscape.
Web Integration Services
These services enable the integration of institutional data with Scopus content, creating a web-integrated platform for national research assessment exercises. This integration improves the accuracy of author profiles and helps researchers demonstrate their expertise more comprehensively.
Conclusion
In summary, Elsevier Research Intelligence leverages AI to provide a suite of tools that enhance research management, collaboration, and decision-making by analyzing vast datasets, extracting meaningful insights, and supporting various stakeholders in the research community.
Elsevier Research Intelligence - Performance and Accuracy
Performance Indicators
When assessing AI-driven research tools, common performance indicators include accuracy, precision, recall, and various error metrics such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE).
- Accuracy and Precision: These metrics are crucial for evaluating the correctness of the data and insights provided by the tool. High accuracy and precision indicate that the tool can reliably identify and analyze research data.
- Data Quality: The quality of the data used by the tool is vital. Tools like Scopus, also from Elsevier, have high precision and recall rates (e.g., 98.1% precision and 94.4% recall for author profiles). If Research Intelligence follows similar standards, it would likely perform well in terms of data quality.
Limitations and Areas for Improvement
Several potential limitations and areas for improvement can be inferred from general trends in AI-driven research tools:
- Standardization of Evaluations: There is a lack of standardized evaluations for AI models, which can make it difficult to compare the performance of different tools. Ensuring that Research Intelligence adheres to or contributes to the development of standardized benchmarks would be beneficial.
- Transparency and Disclosure: AI tools often lack transparency in their training data and methodologies. Improving transparency, such as through the disclosure of training data and methodologies, can enhance trust and credibility in the tool.
- Validation and Verification: As language models become larger and more complex, it becomes increasingly challenging to evaluate and validate their predictions thoroughly. Ensuring that users can verify the accuracy of the data obtained through the tool is essential.
- User Feedback and Improvement: Clearly articulating the limitations of the tool and inviting user feedback can help in identifying areas for improvement and enhancing the overall performance of the tool.
Engagement and Factual Accuracy
For users seeking accurate and reliable research insights, it is crucial that the tool provides clear and accurate data. Here are some considerations:
- Human Evaluation: Incorporating human evaluations alongside automated benchmarks can help ensure that the tool’s outputs are not only technically accurate but also meaningful and relevant to users.
- Continuous Updates: Regular updates and improvements based on user feedback and new research findings can help maintain the tool’s accuracy and relevance.
Given the lack of specific information about Elsevier’s Research Intelligence, these general considerations provide a framework for evaluating its performance and accuracy. For precise details, referring directly to Elsevier’s documentation or support resources for Research Intelligence would be necessary.
Elsevier Research Intelligence - Pricing and Plans
Pricing Structure Overview
The pricing structure for Elsevier’s Research Intelligence tools, which include Scopus, SciVal, and Funding Institutional, is not explicitly outlined in terms of specific tiers or plans on the provided sources. Here is what can be gathered from the available information:
Scopus
- Scopus is an abstract and citation database that provides bibliometric tools to track, analyze, and visualize research. It does not appear to have multiple pricing tiers, but rather is typically accessed through institutional subscriptions.
SciVal
- SciVal offers metrics based on publications by country, institution, department, or author. It is also generally accessed through institutional subscriptions. There is no mention of different pricing tiers for SciVal, but users can participate in a free six-module online SciVal Certification Program if they have an existing SciVal subscription.
Funding Institutional
- Funding Institutional allows researchers to search for grant opportunities and provides historical data about awards and related publications. Like Scopus and SciVal, it is usually accessed via institutional subscriptions. There is no detailed pricing structure or tiered plans mentioned.
Free Options
- Elsevier offers free certification programs for both Scopus and SciVal, which are available to librarians and researchers with existing subscriptions. These programs help users get the most out of these tools by learning about their latest features and functionalities.
Institutional Access
- The primary method of accessing these tools is through institutional subscriptions, which are typically negotiated between Elsevier and the institutions. The pricing for these subscriptions is based on various factors such as the number of users, the scope of access, and other institutional needs, but specific details on pricing tiers are not publicly available.
If you are looking for detailed pricing information, it would be best to contact Elsevier directly or consult with your institution’s library or research administration office, as they often handle the subscriptions and negotiations.
Elsevier Research Intelligence - Integration and Compatibility
Integration with Existing Systems
Seamless Data Transfer
One of the key features of Elsevier’s Research Intelligence is its integration with other data management systems. For instance, SciVal, a part of the Research Intelligence suite, integrates well with Pure, a research information management system. This integration allows for the seamless transfer of faculty data from Pure to SciVal, eliminating the need for data format conversions and technical issues. This synergy enables users to focus on their day-to-day tasks without unnecessary data handling hassles.Compatibility with Databases and Repositories
Access to Comprehensive Bibliometric Data
The tools within the Research Intelligence suite are compatible with a wide range of databases and repositories. Scopus, for example, is an abstract and citation database that contains over 55 million records from more than 5,000 publishers, covering various fields. This database is integral to the Research Intelligence ecosystem, providing comprehensive bibliometric data that can be analyzed and visualized using SciVal and other tools.Interoperability
Connecting Diverse Data Sources
Elsevier’s Research Intelligence solutions are built to be interoperable, allowing them to integrate with both internal and external data sets. This includes connecting quality, structured data from external databases, researcher and institutional data, and regional data sets. This interoperability ensures that users can view the full research landscape with a high degree of accuracy and connect their existing data and systems with the Research Intelligence tools.Cross-Platform Compatibility
Web-Based Accessibility
The tools are generally web-based, which ensures they can be accessed from various devices and platforms. SciVal, for instance, is a web-based analytics solution, making it accessible from any device with an internet connection. This flexibility is crucial for researchers and administrators who need to access and analyze data from different locations and devices.Advanced Analytics and AI-Driven Technology
Transforming Data into Actionable Insights
The integration of advanced AI-driven technology within the Research Intelligence suite enables users to track, measure, and gain meaningful insights from the data. This technology mines the rich data available, allowing users to transform it into actionable insights that support their research goals. The tools are designed to be user-friendly and efficient, even for advanced users who require in-depth analysis and reporting.Conclusion
In summary, Elsevier’s Research Intelligence tools are engineered to integrate smoothly with other systems, databases, and repositories, ensuring compatibility and ease of use across various platforms and devices. This integration and interoperability are key to providing users with a comprehensive and accurate view of their research landscape. Elsevier Research Intelligence - Customer Support and Resources
Customer Support
For users of Elsevier’s Research Intelligence solutions, such as Scopus and SciVal, there are several avenues for support:
Customer Consultants
Elsevier provides dedicated Customer Consultants who are experts in research management and analysis tools. These consultants, such as Charity Elifritz, Linda Galloway, Eric Livingston, and Vadim Sobolev, are available to advise on improving institutional research strategies and addressing specific questions or needs.
Support Centers
Each product has its own support center where users can find answers to frequently asked questions (FAQs), guides on registration, login issues, and other technical support topics. For example, the Scopus Support Center and SciVal Support Center offer detailed information on various aspects of using these tools.
Training and Workshops
Elsevier offers various training opportunities to help users become proficient in their tools:
Free Training Workshops
Subscribers can access free training workshops, which can be general tutorials or custom sessions for specific user groups. These workshops cover topics such as Scopus Author and Affiliation Profile Curation, Advanced Search Queries in Scopus, and SciVal for Research Facilitation.
Webinars and User Conferences
Elsevier hosts webinars and user conferences where users can learn from experts and access recorded presentations. For instance, the User Conference Series includes presentations on SciVal roadmaps, entities masterclasses, and creating researcher lists.
Additional Resources
How-to Videos and Case Studies
The Elsevier US and Canada Customer Hub provides how-to videos, case studies, and other resources to help users learn at their own pace. These resources include guides on saving searches, setting alerts, analyzing search results, and more.
Product-Specific Resources
For each tool, there are specific resources available. For example, Scopus users can access introductory videos, guides on combining search queries, and case studies on how institutions are leveraging Scopus.
FAQs and Contact Information
The support page includes FAQs for various products, along with contact information for further assistance. Users can also share feedback or file a complaint if needed.
Conferences and Events
Elsevier participates in several conferences across the US and Canada, providing opportunities for users to learn about new developments and interact with experts. Events like NORDP, MLA | SLA, and BRIC conferences are listed on their website.
By leveraging these support options and resources, users of Elsevier’s Research Intelligence tools can ensure they are using the tools effectively and making the most out of their research analytics and evaluation capabilities.
Elsevier Research Intelligence - Pros and Cons
Advantages of Elsevier Research Intelligence and Its AI-Driven Products
Enhanced Research Efficiency
Elsevier’s AI-driven tools, such as Scopus AI, significantly improve the efficiency of research processes. These tools allow researchers to quickly obtain summarized views of research topics, reducing the time spent on reading and analyzing large volumes of data. Scopus AI provides easy-to-read topic summaries, suggested follow-up questions, and links to original research, enabling faster and deeper insights.Improved Collaboration and Impact
The integration of generative AI with Scopus enhances collaboration among researchers across different disciplines. This technology helps in recognizing links across disciplines and supports the societal impact of research by facilitating quicker and more informed decision-making.Trustworthy and Transparent Content
Scopus AI relies on trusted content from over 27,000 academic journals and includes over 1.8 billion citations. The summaries provided are based on rigorously vetted and selected content by an independent review board, ensuring the accuracy and reliability of the information. This transparency is further enhanced by citation links that validate the summaries.User-Friendly Interface
The tool is designed to be user-friendly, allowing researchers to ask questions in a natural, conversational manner. It also offers graphical representations of interconnected research themes, making it easier to explore complex relationships.Continuous Improvement and Community Engagement
Elsevier engages closely with the research community to test and develop its AI-driven tools. For example, Scopus AI is being tested by approximately 15,000 researchers worldwide, ensuring that the product meets the needs of its users and is developed responsibly.Disadvantages of Elsevier Research Intelligence and Its AI-Driven Products
Potential for Market Dominance and Reduced Competition
The acquisition of Interfolio by Elsevier could lead to a significant increase in Elsevier’s market power, potentially reducing competition in the research analytics and academic publishing markets. This could result in institutions feeling locked into using Elsevier’s products due to integration limitations with other data sources.Data Privacy and Sensitivity Concerns
The centralization of data through Faculty Information Systems (FIS) products, now under Elsevier, raises concerns about data privacy and sensitivity. Elsevier can extract detailed data about researchers, including non-public and sensitive information, which could be used to gain a strategic advantage over competitors but also poses risks related to data misuse.Risk of Inaccurate Information
AI tools, including those used by Elsevier, can sometimes provide inaccurate or misleading information. This risk is particularly significant if researchers do not scrutinize the data sources provided by AI, which can impair scientific credibility and lead to falsification in research articles.Dependence on AI-Generated Content
While AI tools can improve readability and grammar, they may not critically analyze the scientific context as effectively as human authors. There is a need for human supervision to ensure the accuracy and authenticity of AI-generated content, as authors remain solely responsible for any mistakes in AI-assisted writing.Potential for Bias and Hallucinations
Generative AI tools, like Scopus AI, can suffer from issues such as hallucinations (inaccuracies or misinterpretations) and data bias. Although Elsevier has taken steps to minimize these issues, there is still a risk that these problems could undermine the trust in the results delivered by the AI tools. By considering these points, researchers and institutions can make informed decisions about the use of Elsevier’s AI-driven research tools, balancing the benefits of enhanced efficiency and collaboration with the need for careful oversight and data management. Elsevier Research Intelligence - Comparison with Competitors
Elsevier Research Intelligence
Elsevier Research Intelligence is a comprehensive portfolio of research management solutions. Here are some of its unique features:- It provides an underlying infrastructure by connecting high-quality, structured data from various sources, including external databases, researcher data, and institutional data. This allows for a detailed view of the research landscape.
- Advanced AI-driven technology is used to track, measure, curate, and gain meaningful insights from the data, addressing various research challenges.
- The suite includes a toolkit of solutions such as databases, analytics, repositories, institutional portals, and workflow tools, which are interoperable with existing data and systems.
Alternatives and Comparisons
Consensus
Consensus is an AI-powered academic search engine that stands out for its ability to search through vast amounts of scholarly literature quickly. Here are some key differences and similarities:- Literature Review: Consensus focuses on literature reviews, providing AI-powered summaries and a Consensus Meter to show the degree of agreement among studies. It filters results by study design, sample size, and methodology, which is particularly useful for academic research.
- Data Scope: While Elsevier Research Intelligence connects a broad range of data sources, Consensus is specialized in accessing over 200 million peer-reviewed papers, making it ideal for academic literature reviews.
LitMaps, Inciteful, and Connected Papers
These tools are designed for literature mapping and discovering related research:- LitMaps: Uses a single relevant paper to generate a visual literature map, helpful for exploring literature for reviews. It offers limited free searches and data visualizations, with a Pro subscription for unlimited use.
- Inciteful: Provides related papers to key articles and illustrates how different papers are related, especially useful for multi-disciplinary research. It is free to use.
- Connected Papers: Offers a free version with up to 5 graphs per month and an academic subscription for unlimited use. It helps in visualizing the connections between papers.
Elicit
Elicit is an AI research assistant that helps optimize database searching:- Research Assistance: Elicit allows users to type in a research question or upload example articles and returns related questions, subject headings, and keywords. It is free with sign-up but has usage restrictions, with a Pro subscription offering more credits.
Competitor Analysis Tools
While not directly comparable, tools like Quid Monitor and Quid Compete, focused on competitor analysis, highlight the versatility of AI in different research contexts:- Quid Monitor and Quid Compete: These tools use AI to analyze vast amounts of data for competitor research, providing real-time insights into market positions and digital marketing performance. They are more focused on business and market analysis rather than academic research.
Summary
Elsevier Research Intelligence is unique in its comprehensive approach to research management, offering a broad range of tools and data integration. For specific tasks like literature reviews, Consensus, LitMaps, Inciteful, and Connected Papers are more specialized and can be valuable alternatives. Elicit serves as a research assistant for optimizing database searches. Each tool has its strengths, and the choice depends on the specific needs of the researcher or institution. Elsevier Research Intelligence - Frequently Asked Questions
Here are some frequently asked questions about Elsevier Research Intelligence, along with detailed responses:
What is Elsevier Research Intelligence?
Elsevier Research Intelligence is a comprehensive portfolio of research management solutions aimed at assessing research strengths and informing decision-making at every stage of the research lifecycle. It combines quality, structured data, advanced AI-driven technology, and a toolkit of solutions to support research goals.What are the core components of Elsevier Research Intelligence?
The core components include:- An underlying infrastructure that connects quality, structured data from various sources such as external databases, researcher, and institutional data.
- Advanced AI-driven technology that mines this data to track, measure, curate, and gain meaningful insights.
- A toolkit of solutions that transforms data into insights, including databases, analytics, repositories, institutional portals, and workflow tools.
What are the benefits of using a Research Information Management System (RIMS) like Elsevier Research Intelligence?
Using a RIMS offers several benefits, including:- Increased visibility of institutional research and researchers globally.
- Improved strategic decision-making through comprehensive analytics.
- Enhanced collaboration, particularly international collaboration.
- Better demonstration of societal impact and contributions to the UN Sustainable Development Goals (SDGs).
- Efficient management of research administration.
- Improved reporting accuracy and speed.
- Boosted research performance and efficiency.
- Identification of funding and collaboration opportunities.
- Promotion of open science activities and compliance with related mandates.
- Streamlined faculty and program assessments.
How does Elsevier Research Intelligence facilitate informed decision-making?
Elsevier Research Intelligence provides connected and linked data with unique identifiers, which simplifies research management and reporting. This connected data enables users to draw on comprehensive analytics to make informed strategic decisions on resource allocation and target setting.What tools are included in the Elsevier Research Intelligence portfolio?
The portfolio includes tools such as:- Scopus: An abstract and citation database with bibliometric tools to track, analyze, and visualize research.
- SciVal: A tool that provides metrics based on publications by country, institution, department, or author, and helps in finding collaborators and identifying trends.
- Funding Institutional: A tool that allows researchers to search for grant opportunities, track award trends, and find potential collaborators.
How does Elsevier use AI in its research intelligence tools?
Elsevier uses AI and machine learning technologies to support various aspects of the research process. This includes:- Reviewer recommendations for editors based on keywords and metadata.
- Assisting authors in finding suitable journals for submission.
- Automated technical checks on papers during the editorial process.
- AI-based anti-plagiarism services.
- Generative AI for tasks such as literature review and summarization, improving the presentation and language of research articles, and identifying potential funding opportunities.
Can Elsevier Research Intelligence help in identifying funding opportunities?
Yes, tools like Funding Institutional within the Elsevier Research Intelligence portfolio allow researchers to search for grant opportunities, track award trends, and find potential collaborators. This helps in selecting the best fit opportunities and tailoring proposals based on past success.How does Elsevier Research Intelligence promote collaboration?
The tools within Elsevier Research Intelligence increase collaboration by providing increased visibility of research, researchers, labs, and equipment. This visibility, especially through international portals, facilitates international collaboration and helps in finding appropriate research collaborators based on research interests and topics of expertise.What kind of training and support does Elsevier offer for its Research Intelligence tools?
Elsevier offers various training programs, including a free six-week online Scopus Certification Program and a SciVal Certification Program. Additionally, there are monthly office hours and support from Elsevier staff for advanced users.How does Elsevier ensure the accuracy and reliability of the data provided by its Research Intelligence tools?
Elsevier ensures accuracy by connecting quality, structured data from various sources and using advanced AI-driven technology with human oversight. The data is curated and validated to prevent bias and hallucinations, and citations are added to primary sources to maintain transparency and trust. Elsevier Research Intelligence - Conclusion and Recommendation
Final Assessment of Elsevier Research Intelligence
Elsevier Research Intelligence is a comprehensive suite of tools and platforms that offer significant benefits to various stakeholders in the research community. Here’s a detailed assessment of who would benefit most from using these tools and an overall recommendation.Benefits and Capabilities
Elsevier Research Intelligence provides a range of benefits that can transform the way research is managed, evaluated, and advanced. Here are some key advantages:- Visibility and Recognition: It increases the global visibility of institutional research and researchers, showcasing their profiles, output, expertise, and impact on international platforms.
- Strategic Decision Making: The platform offers comprehensive analytics, enabling informed strategic decisions on resource allocation and target setting.
- Collaboration: It enhances collaboration, particularly international collaboration, by increasing the visibility of research, researchers, labs, and equipment.
- Research Management: It expertly manages all aspects of research administration with configurable communication and workflow tools.
- Reporting and Performance: It improves the accuracy, speed, and cost of reporting, and boosts the efficiency and impact of researchers by providing access to the best resources and advanced search and analytics tools.
- Funding and Open Science: It helps identify funding and collaboration opportunities and promotes open science activities while complying with related mandates.
Who Would Benefit Most
Several groups can significantly benefit from using Elsevier Research Intelligence:- Research Institutions: Universities and research institutions can leverage these tools to manage research administration, enhance global visibility, and improve their standing in global rankings.
- Researchers: Individual researchers can gain better insights into their own research output, identify collaboration opportunities, and track emerging trends in their fields.
- Funders: Funding agencies can use these platforms to evaluate research performance, assess the impact of funded projects, and make informed decisions about future funding allocations.
- R&D Intensive Companies: Companies involved in research and development can benefit from the scientific insights and data analytics provided by Elsevier’s Innovation Intelligence, which is part of their research intelligence offerings.
Overall Recommendation
Elsevier Research Intelligence is highly recommended for any organization or individual involved in research. Here’s why:- Comprehensive Insights: The platform provides a unified system that connects and links data, making research management simpler and more efficient. This leads to better decision-making, easier communication, and improved research performance.
- Advanced Analytics: The tools offer sophisticated analytics and data enrichment capabilities, which are crucial for evaluating research output, identifying trends, and making strategic decisions.
- Global Visibility: By showcasing researcher profiles and research output on international platforms, institutions can grow their global reputation and attract more funding and collaboration opportunities.