The International workshop on Open Science Identifier will take place on 17-18 October 2023 in Beijing China(18 Oct - 18 Oct 2023, CAS Informationization Plaza, Beijing, China).

Event Description

DataCite and Common Science and Technology Resource Identifier (CSTR) are co-organizing an in-person workshop in Beijing, China, bringing together stakeholders in the Open science and research data management communities to explore the role of persistent identifiers (PIDs) in local and global contexts, demonstrate implementation cases, and discuss recent developments in the global PID ecosystem.

Event Topic

The workshop will highlight the value of PIDs in the context of PID history and how PID services, tools, and platforms will help to realize the FAIR principle. We will also guide a discussion on the future development trends for PIDs and how to make PIDs more active, stable, and interoperable, with reference to the ongoing PID-related work in the RDA.

Introduction to CSTR, DataCite, and ORCID persistent identifiers
The implementation of PIDs in research data repositories
The adoption of PIDs in disciplinary and pan-disciplinary contexts
PIDs in research data and journal publishing workflows

Workshop Agenda

DAY1

October 17, Tuesday

Morning

9:00-9:10
Welcome and introduction speech
9:10-9:40 Xin Li
Invited talk from National Tibetan Plateau Data Center
9:40-10:10 Jia Liu
Global Open Identifier: Alignment and interoperability across PIDs
10:10-10:40 Matt Buys
Connecting Research, Advancing Knowledge: global infrastructure efforts
10:40-11:10 Jianhua Liu
DOIs for Chinese Research Outcomes-Increasing Visibility, Findability, Connectivity, Interoperability
11:10-11:40 Estelle Cheng
More Impact, Less Effort: Laying the Foundation for research data management through PIDs like ORCiD

Afternoon

14:00-14:15 Xin Chen
A Fabric for Open Data --Introduction to the General Data Center, CAS
14:15-14:30Linhuan Wu
An citation tracking system for global microbial resources data
14:30-14:45Jian Wang
An Observation On Research Data Sharing In Digital Era
14:45-14:55
Coffee Break
14:55-15:10Yuwei Gao
PID for muti-source data fusion in NBSDC
15:10-15:25Zugang Chen
Applying PID to promote NODA data curation
15:25-15:40Qi Xu
NSSDC's Practice: PIDs make research data FAIR
15:40-16:10
Moderated discussion

DAY2

October 18, Wednesday

Morning

9:00-9:30 Xiaoli Chen
Implementing FAIR Workflows
9:30-10:00 Zeyu Zhang
Science Data Bank - An Open and General-Purpose Data Repository
10:00-10:30 Dr. Weiwen (Raymond) Wang & Scott Edmunds
China National Genebank: Advancing Data Accessibility and Interconnectivity
10:30-10:40
Coffee Break
10:40-11:10 Xuan Wu & Chenyang Li
China Geological Data Publishing: Efforts to promote the evaluation of geological survey results
11:10-11:40 Yan Xi
Practice and Exploration Progress of Data Journals
11:40-12:00
Review and wrap up

Afternoon

DataCite APAC EG

Cooperation Unit

CSTR

CSTR Community aims to promote the establishment of a global science and technology resource identification architecture that can trace global influence, cross disciplines, cross regions, and cross platforms. This will enable rapid positioning and acquisition of resources worldwide and serve as the digital foundation for open science. The CSTR identifier has been accepted as one of the IANA international standards, and it has contributed to scientific research innovation. CSTR provides unique identification services for global scientific data, papers, scientific institutions, researchers, scientific instruments, patents, and other scientific and technological resources. DataCite is a global community that shares the vision of opening and connecting research outputs and resources to promote inter- and cross-disciplinary reuse. DataCite has been working with organizations in China and the wider APAC region to encourage the adoption of open PIDs and metadata workflows in the research data management process.

https://www.cstr.cn
DataCite

DataCite and Common Science and Technology Resource Identifier (CSTR) are co-organizing an in-person workshop in Beijing, China, bringing together stakeholders in the Open science and research data management communities to explore the role of persistent identifiers (PIDs) in local and global contexts, demonstrate implementation cases, and discuss recent developments in the global PID ecosystem.

https://datacite.org/