scholarly journals Data Discovery Systems for Not-for-Profit Organizations

2021 ◽  
pp. 536-548
Author(s):  
Joanna Palonka
Keyword(s):  
Resource Management ◽  
Information And Communications Technologies ◽  
Data Discovery ◽  
For Profit ◽  
Contemporary World ◽  
Not For Profit ◽  
Communications Technologies ◽  
Not For Profit Organizations ◽  
For Profit Organizations

Information and communications technologies (ICTs) change the organization's rules of functioning in the contemporary world. The major challenge facing each organization is the necessity to acquire/develop its ability to create, implement and use innovative ICT methods and techniques in all processes it carries out. The study is aimed at not-for-profit organizations. They are in need of organizational, financial, and technological changes in order to fulfil their mission and build their potential effectively. Under existing circumstances these organizations are forced to efficiently use data in resource management. They have to understand that modern ICTs bring internal benefits and contribute to higher efficiency as well as enhanced quality of the services they provide. Data Discovery Systems (DD) are one of the modern technologies which help in achieving these goals. The aim of this chapter is to present the possibility of using DD systems in effective resource management of not-for-profit organizations based on the case study of a selected organization.

Partnership agreements for regenerative medicines: a database analysis and implications for future innovation

2021 ◽  
Author(s):  
Tingting Qiu ◽  
Yitong Wang ◽  
Shuyao Liang ◽  
Ru Han ◽  
Mondher Toumi
Keyword(s):  
Scientific Discovery ◽  
Biotechnology Company ◽  
Database Analysis ◽  
For Profit ◽  
Preclinical Phase ◽  
Not For Profit ◽  
Licensing Agreements ◽  
Regenerative Medicines ◽  
Not For Profit Organizations ◽  
For Profit Organizations

Aim: Partnerships have been leveraged to advance the regenerative medicines (RMs) development. This study analyzed the evolution of partnership landscape for regenerative medicines (RMs). Methods: Partnership agreements publicly announced from January 2014 – June 2020 were described. Results: 1169 partnership agreements with total amount of US$63,496 million were identified. Most agreements concerned RMs that were for oncology (25.3%), in the discovery or preclinical phase (66.9%) and gene-based products (45.3%). The most common partnership type is collaborative agreements without licensing. The partnerships between ‘Biotechnology company and not-for-profit organizations’ represented the largest number (n = 416; 35.6%). ‘Big Pharma’ preferred collaboration and licensing agreements with a higher amount. Conclusion: Collaborations between highly specialized players with complementary expertise promote the successful translation of scientific discovery to RMs.

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