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The scientific data sharing activities in KISTI _ eng. ver.

The 1rd China-Japan-Korea Joint Seminar on Science Data-Sharing Based-on DOI Program Date: Sep.25, 2012 / Place: Xian City (China) / Official language:English

suntae kim

on 8 September 2015

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Transcript of The scientific data sharing activities in KISTI _ eng. ver.

The Scientific Data Sharing Activities In

Platform for
Convergence research and Unification of Big E-resources
Platform Development and Diffusion
Cooperation Network
Law Research & Guidelines Development
Discovery of Cooperative Institutes
Cooperation Network
- CODATA Committee of Korea( 33 members)
First meeting was held on August 29, 2012 at KISTI
Committee members and 2012 Taiwan General Meeting and conference
Future plan

- A affiliated member of

- MOU with
Law & Guidelines
- Goals
To lay the groundwork for modifying laws and systems of scientific data
To promote sharing national scientific data

- Scope and contents of research
Investigation of goals and contents of advanced countries’ policies managing scientific data
Analysis of protection of scientific data in terms of law of property and national management of scientific data
Research on the need and method of protecting property value of scientific data
Drawing method for protecting intellectual property rights of scientific data
Analysis of status of promoting policies to manage scientific data in South Korea
Investigation and analysis of scientific data related legislation of advanced countries
Investigation of rules and guidelines on building and distributing scientific data information at international organization level such as CODATA
Suntae Kim
China-Japan-Korea Joint Seminar
- 9 government funded research institutes

- The status of managing and distributing scientific data of government funded research institutes and collected opinions of researchers

- Government funded research institutes that have good data management environment and room for mutual cooperation

- Data based research environment and research method according to fields and discovered persons who can cooperate with data based research
Visiting Government funded research institutes to discover cooperative institutes
Main Functions
- Schema Management
- Organization & Collection & Item Management
- Group Management
- Statistic & Code Management
Dissection of P-CUBE
What is P-CUBE?

P-CUBE is a platform providing easy access for safe storage and reuse of scientific data created by researchers in the course of work

Background P-CUBE was born

A large amount of data are produced due to development of hardware, expansion of super high speed network and development of high tech information technology. Selecting valuable data and managing them systematically are becoming very important as data centered research paradigm appears due to the advent of ubiquitous era. However, data of researchers are not used effectively and they become useless after stored in personal store such as PC, CD, or USB. For this reason, a platform that enables to manage data created by researchers easily and to reuse them is needed. P-CUBE aims for cloud environment for efficient management and use of data.

Solid basis of P-CUBE

P-CUBE was developed based on open source recognized all over the world. P-CUBE uses Fedora of DURASPACE in storage structure that USA’s NSF and LC (Library of Congress) sponsor and uses business logic with service and management function of DSPACE. P-CUBE uses MySql as relational database.
P-CUBE following standards

P-CUBE follows OAIS reference model stipulated in ISO 14721:2003.
Therefore, P-CUBE consists of system architecture for data collection, data management, archives and access.

Characteristics of Functions

Systematic management of scientific data (organization, collection, item levels)

Function enabling researchers to set up scientific data publicly on their own
(default is not shared)

Enabling to set up various management items of scientific data

Global publication of scientific data and permanent access to data

Automatic collection and distribution of data based on standard protocol (OAI- PMH)

Function of collecting scientific data
Collection through researcher’s data upload.
Automatic collection of data through standard protocol.

Function of managing and preserving scientific data

Systematic management of data by OAIS standard
Data lifecycle management based on preservation

Function of publishing scientific data

Assigning global identifier (DOI) to researcher’s data
Registering data in global data handle server

Function of scientific data service
Searching data according to organization, collection and researcher creation tag
Service connecting data and scholarly journal

P-CUBE Workflow

Ingest : Data Collection
Direct data submission by researcher
Automatic submission in research system
Collection through standard protocol

Management : Data Management
Management of schema guaranteeing expandability
Management of data submitted
Management of user authority
Management of collection, items and raw data

Access : Data Access
Connection to center repository
Lucene search engine based Korean alphabet search
Identifier service through handle server

Expected effect in terms of researchers

Researchers can submit data easily through connection to existing system of institution to which a researcher belongs.
Systematic management and reuse of data created by researchers are possible.
Reputation of a researcher can be enhanced through support for international data publication and citation.

Expected effect in terms of institutions

Flexible infra building for data management by groups and institutions to which researchers belong is possible.
Data created can be managed as national asset by inputting national R&D budget.
Result of research can be promoted by using data that can be made public by researcher’s setting up sharing.
What's the
What is P-CUBE?

Background P-CUBE was born

Solid basis of P-CUBEP-CUBE

P-CUBE following standards

Characteristics of functions of P-CUBE

Three stage workflow of P-CUBE

Expected effect of P-CUBE
Full transcript