Hybrid Conferencee

International Conference on Open Source Tools for Data Analytics (ICOSTDA - 26)

8th - 9th July 2026 | Madrid, Spain
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Madrid. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Madrid event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Madrid conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Madrid, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Madrid."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICOSTDA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Analytics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Open source data analytics tools
02
Community-driven analytics projects
03
Comparative analysis of tools
04
Data visualization with open source
05
Machine learning frameworks in open source
06
Collaborative data science platforms
07
Case studies of open source success
08
Challenges in open source analytics
09
Integration of open source tools
10
Performance benchmarking of tools
11
User experience in open source software
12
Security issues in open source analytics
13
Data governance in open source projects
14
Real-time analytics with open source
15
Open source contributions to analytics
16
Educational resources for open source
17
Best practices for open source projects
18
Future of open source analytics tools
19
Impact of open source on industry
20
Open source in academic research