International Aging Research Portfolio

International Aging Research Portfolio ( IARP ) is a non-profit , open-access knowledge management system incorporating grants , publications, conferences in natural and social and behavioral sciences. In addition to the advanced research and visual trend analysis tools, The system uses automatic classification algorithms with elements of machine learning to assign research projects to the. The directory is curated by many expert editors and science advisory board members. The chair of the science advisory board is Dr. Charles Cantor .

Background

Aging research is a multidisciplinary field of spanning many areas of natural and social science and is widely dispersed. Popular resources like Pubmed and Scholar . However, few resources exist that incorporate international databases of the scientific publications, scientific grant abstracts and clinical trials databases.

Grant abstracts are usually published by the funding organizations and precede publications in peer-reviewed literature. Some of the experiments described in grant abstracts are not published. To prevent redundancy and promote scientific cooperation,

The IARP database provides information on research grants, peer-reviewed publications, and published applications from multiple sources. Additionally, the database uses flexible project classification mechanisms and tools for analyzing project associations and trends. This system allows scientists to search the centralized project database, to classify and categorize aging projects, and to analyze the funding aspects across multiple research disciplines. The IARP is designed to provide better allocation and prioritization of scarce research funding, to reduce the project’s overlap and improve scientific collaboration in rapidly growing areas of research.

The IARP system aggregates grant data from Many Sources Including the US National Institutes of Health (NIH) , European Commission (EC) , Canadian Institutes of Health Research , US National Science Foundation , Australian National Health and Medical Health Council and published abstract data through a License of MEDLINE database. The results are presented in the following table. One of the main features of the IARP system is automatic and manual classification of the research projects into a structured directory. The IARP science advisory board and volunteer expert category editors These algorithms can be used to define algorithms. The IARP system is highly modular and portable and can be used for aging research.

Content

The International Aging Research Portfolio (IARP) includes the National Institutes of Health (NIH) , European Commission (EC) , NSF , Canadian and Australian research councils and many other sources. It also contains MEDLINE article abstracts under a license from the National Library of Medicine. The IARP volunteer development team works directly with the publication offices and regularly updates the database either automatically or by parsing the data mailed on physical medium.

Characteristics

Simple searches

Simple searches on IARP can be carried out by entering key aspects of a subject into search window.

IARP Translates search this original formulation and automatically adds field names, Boolean operators , and Enhancing the search formulation Significantly, In Particular by Routinely-combining (using the OR operator) text words.

‘Programmed Theory Aging’

Is translated as

(“Programmed” OR “Theory” OR “Aging”)

Advanced searches

Advanced Project Search, Research and Development. In addition to the description, each research project contains specific information about the funding organization, recipient organization and the Principal Investigator (s) . Moreover, it links the current project with other similar projects and financial mechanisms.

To use the advanced search features, the user must have some knowledge of the research area and use keywords and limits. The form allows users to specify multiple values ​​for accurate data retrieval.

[Keywords] . Users can use Boolean operators and Mask for finding information in project description and title fields.

Search query examples:

‘Nerv *’
‘Stem AND cell NOT embryonic’
‘Accumulation amyloid alzheimers’

[Research Areas] . Users can limit their searches by selecting appropriate research areas from the category tree.

[Theories Of Aging] . Users can select multiple values ​​from a list of Theories Of Aging .

In addition, users can limit their search by:

Fiscal Years, Project Number, Principal Investigators , Project Start and End Dates, Recipient and Funding Organizations, Funding type.

Trends and Tools

Trends Analysis Chart & Tools is a collection of tools for viewing the project data as diagrams, charts and comparative tables. The interface allows users to create two-dimensional charts comparing research funding by year, institution, university, principal investigator, region and category.

Summary statistics

Representing a comprehensive analysis of data in the system (useful for understanding the content of the database by total number of projects). Disclaimer: This document is a preview generated by EVS Displays the top 50 active, completed projects by total funding, the top countries, US states, investigators, funding bodies and recipient organizations, also by total funding.

Other Tools

The system also incorporates tools like the Grant Matchmaker, Who is Who and Funding Organizations and Biotechnology Events and Webcasts that are currently in various stages of development. The aim of this study is to identify and analyze the impact of research and development on the development of research projects.

Data Classification

Automatic Project Classification

Automatic translation is provided for the convenience of our users. The system utilizes two classification algorithms with elements of machine learning: Vector Vector SVM and Recurrent-Neural-Network-Based Boolean Factor Analysis (BFA). [1] Since 2014 the SVM algorithm was modified to facilitate for multilabel classification of incompletely-labeled data sets where few labels assigned by the IARP experts are present. This allowed for improved classification accuracy. [2]

Manual Project Classification

As an automatic classification, the classifications are limited and require each category. The SAB and Category Editor administrative interface allows SAB members, institute directors and laboratory heads to curate the top-level categories and delegate the management of lower-level categories to graduate students.

Linking Related Grants and Publications

IARP has the ability to automatically identify related and similar projects in database using an algorithm analysis of project abstracts, patents, and publications. This kind of advanced project analysis will also allow for the funding of similar projects.

Other Resources Using IARP Database

The FundingTrends project allows a simple keyword search of millions of biomedical projects supported by major research funding organizations worldwide. It then draws the amount of funding for each year for the projects containing the keywords.

The Aging.CC project allows for a simple keyword search of millions of biomedical projects supported by major research funding organizations worldwide.

Reviews

  • The International Aging Research Portfolio was reviewed by the Editorial of the Genetic Engineering & Biotechnology News (GEN) and received a three star rating. [3]

See also

  • Community Research & Development Information Service
  • Computer Retrieval of Information on Scientific Projects
  • Australian Research Council
  • National Research Council (Canada)

References

  1. Jump up^ Alex Zhavoronkov; Charles R. Cantor (2011-07-22). “Methods for Structuring Scientific Knowledge from Many Areas Related to Aging Research” . PLoS ONE .
  2. Jump up^ Anton Kolesov; Dmitry Kamyshenkov; Maria Litovchenko; Elena Smekalova; Alexey Golovizin; Alex Zhavoronkov (2014-01-23). “On Multilabel Classification Methods of Incompletely Labeled Biomedical Text Data” . Computational and Mathematical Methods in Medicine.
  3. Jump up^ GEN (2011-10-15). “GEN Best Of The Web: Oct 15, 2011 (Vol. 31, No. 18)” . Genetic Engineering & Biotechnology News .

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