posted by user: cm3 || 1211 views || tracked by 1 users: [display]

iPRES 2017 : 14th International Conference on Digital Preservation

FacebookTwitterLinkedInGoogle

Link: https://ipres2017.jp
 
When Sep 25, 2017 - Sep 29, 2017
Where Kyoto, Japan
Submission Deadline Mar 10, 2017
Categories    digital preservation   archives   research data management
 

Call For Papers

iPRES2017
(14th International Conference on Digital Preservation)

September 25-29, 2017 Kyoto, Japan
https://ipres2017.jp/

iPRES is the major international conference on the preservation and long-term management of digital materials.

The iPRES 2017 hosted by Kyoto University will contribute to promotion of researches and development of technologies and services of digital preservation. Following the success of the previous conferences, the iPRES 2017 will serve as an international forum for the global community of digital preservation.

The main objectives at iPRES 2017 will be cultural resources in various domains and from various viewpoints. Academic societies in the areas of digital humanities and information resource management are the main communities to support this conference in Japan. This conference will be organized in collaboration with major memory institutions in Japan.

The theme of the coming conference is: Keeping Cultural Diversity for the Future in the Digital Space -- From Pop Culture to Scholarly Information.

The iPRES 2017 invites contributions that present original work on research initiatives and innovative practices in digital preservation and expects that the contributions will be

- Leading edge
- Innovative
- Effective in informing and promoting the digital preservation debates.

Contributions (papers, posters, panels,workshops and tutorials) that address at least one of the following topics are welcomed:
- Institutional challenges, infrastructure (organizational and technological) opportunities and challenges, lessons learned
- Frameworks for digital preservation, their implementation, institutional integration and evaluation
- Novel preservation strategies, preservation planning, workflows and tools for
   - Digital art conservation (conceptual and practical)
   - Games preservation
   - Web preservation
   - Social media
- Training and education, case studies, best practices and novel challenges
- Research data preservation
   - Characterization, preservation and curation of large (heterogeneous) data sets 
   - Modeling and description of scientific processes and context, engineering models and simulations
   - Risk models, dependency management
- Scalable preservation, service business models

All submissions will be subject to a peer review. Detailed information can be found in the website.

-----------------
Important dates:
Paper and Poster submissions - Deadline: March 10, 2017
Workshop, Tutorial and Panel submissions - Deadline: April 3, 2017

-----------------
Organizers:
Shoichiro HARA (Prof. and Vice-Director, CSEAS, Kyoto University)
Shigeo SUGIMOTO (Prof. Faculty of Library, Information and Media Studies, University of Tsukuba)
Makoto GOTO (Assoc. Prof., National Museum of Japanese History)

-----------------
Contact:
ipres2017_contact [at] cias [dot] kyoto-u.ac.jp

Related Resources

TPDL 2021   25th International Conference on Theory and Practice of Digital Libraries
ICCSE 2021   The 16th International Conference on Computer Science and Education
DiPP 2020   Digital Presentation and Preservation of Cultural and Scientific Heritage
Cambridge University Press 2021   Call for Book Chapters : Digital Transformation and Disruption of Higher Education
FinteQC 2021   The 3rd Canadian Conference on Fintech, Insurtech & Financial Services Innovation
AI_Heritage 2020   Artificial Intelligence in Heritage Science
SDLDIP 2021   Special Issue on Sensors and Deep Learning for Digital Image Processing
Handbook of DE 2020   Call for Chapters: Handbook of Digital Entrepreneurship
AI4DE - 2021   Trustworthy AI for Digital Engineering Transformation - Special Issue of JIDPS - Trans. SDPS
FDAE_AI_BDA 2020   Special Issue on Forensics Data Analytics Enhancement via Artificial Intelligences and Big Data Analytics