Institute for scientific and technical information
www.inist.fr
Upskilling of information specialists and research
support strategy
Marie-Christine Jacquemot-PerbalLIBER 42nd Annual Conference 26 - 29 June 2013, Munich, Germany
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Overview
Evolution of INIST-CNRS mission
Approach to move toward data-related activities
• Feasibility study
• Broadening knowledge and upgrading skills through constructivist-based
approach
• Establish partnerships to pool knowledge and skillsConclusion
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INIST-CNRS
CNRS
President
Research office
Sciences institutes
Scientific and technical information (DIST)
INIST
CCSD
Ressource office
ParisNancy
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INIST mission until 2011
Enabling scientific litterature availability, findability and
accessibility
Document delivery
Portals
Multidisciplinary bibliographic metadata
databases
Terminology
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New mission from 2011 on
Increasing the visibility and accessibility of the french and international
scientific production
Document delivery
Portals
Valorization of french research production (litterature + data)
Terminology, ontologies
Thematic bibliographic metadata databases
M-C. Jacquemot-Perbal, LIBER 2013
Approach to move toward data-related activities
Assesment of local
researchers’ needs
Assessment of required
knowledge and skills
Broadening knowledge and upgrading skills
6
Partnerships
Pool of skills and
knowledge
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Aim
Feasibility study
• Findings
• Demands and responses
Assess the needs of local researchers and identify support and services to provide for
Methodology
Outcome
• Survey questionnaire to local researchers
• Interviews of researchers and other stakeholders
• Desk research on french data-related activities
• Desk research on the european and international research data
projects and initiatives
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Feasibility study: findings
Data policy
• No national funding agency policy but strong encouragement from European Commission
(Horizon 2020, OpenAirePlus)
• No institutional data policy in every disciplin/domain
• Publishers’data policy in some disciplins
Awareness of researchers
• Lack of awareness on research data management (RDM), Open Data movement, use of
persistent identifiers
• Lack of knowledge on data-related legal and ethical issues
Most common RDM practice
• Publication focused
• Many local « dark » data or databases with heterogeneous metadata
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Researchers’demands
Managing data and materials
• Collaborative workspace environment
Sustainability and valorization of databases
• Maintaining databases at the end of a project• Making databases accessible and discoverable
Integrating heterogeneous data types
• Assistance in developping metadata schema or model• Assistance in design and development of databases
Storage and preservation of data
• Data storage space• Persistent archiving of data
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Responses with the broader perspective of data sharing
Advocacy Open data
Persistent ID and data citation
Use of metadata standards
Training Research data management good practice
Advice and/or assistance
Metadata quality, interoperability
Metadata schema or models
Metadata conversion
Data management systems
Legal and ethical issues
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Skills and knowledge requirements
Knowledge
• Research process understanding• Data life cycle• Legal and ethical data-related issues• Research data management practices as applied in specific discipline• Terminology and metadata standards• Data citation and publication
Skills
• Metadata handling• Conceptual modeling (metadata, ontology)• Pedagogy• Influencing
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Role
Job title Information specialists
Education Scientific background Scientific backgound
Experience/activities Indexation of bibliographic metadata databases
Terminology, thesaurus
Information engineering projects
-
3 years RDM project in biology -
Knowledge/Skills Scientific information literacy, thesaurus
Metadata
Broadening knowledge and upgrading skills: actors’ profile
Coordinators2
«Learners »8
+ Motivation
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Broadening knowledge and upgrading skills: process
Guided desk researchProjects
Proactive training
« Learners »
Knowledge/skills
Coordinators
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Outcome
Constructivist-based
methodology
Aim
Guided desk research
Questions• Incentives for researchers to share their data• Existing data management-related infrastructures or
projects in France and european or international involvement if any
• Existing standards for metadata and their scopeProvision of a few sources of informationDesk research
Extend the knowledge of the « learners » to research data management issues as applied to their disciplin/domain
Oral presentation enables the « learners » to• structure and build new knowledge • raise the awareness of all staff• dialog with researchers
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Project-based learning
Demand
of local laboratory
Required knowledge and
skillsResponse
Molecular biology
Pooling and managing biological materials
Existing standards
Assistance in structuration and standardization of metadata, computer
design
Neuroimaging
Integrating heterogeneous metadata
Existing metadata standards and infrastructures
Needs met by an existing platform
Environment
Multidisciplinary data
Collaborative workspace
Research process
Existing standards
Open data
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Proactive training
Responsible learners
• Draw out the required knowledge and skills • Choose their role • Express specific needs
Coordinators
• Find or develop training supports • Help learners to build up confidence
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Establish partnerships
RBDD
• A national database support network• Involvement in the metadata working group• Advocacy and training seminar on the implementation of INSPIRE directive
(2 learners)
DataCite
• Involvement in the metadata working group (1 coordinator)
Conferences, workshop• GFII, EUDAT, SIM4RDM: opportunities to establish partnerships
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Conclusions
Coordinators’point of view• One step forward• Increasing involvement from learners
Learners’ feelings• Interesting challenge• So much knowledge to build up with so little time • Still some fears to dialog with researchers
Perspective• Analysis of case studies, organize webseminars• Identify experts and build up a national network• Become an actor in RDM at the national level
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Thank you for your attention!
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