Related articles by
Research Article
Research Ideas and Outcomes 6: e54280
https://doi.org/10.3897/rio.6.e54280 (18 May 2020)
https://doi.org/10.3897/rio.6.e54280 (18 May 2020)
- ContentsContents
- Article InfoArticle Info
- CiteCite
- MetricsMetrics
- CommentComment
- RelatedRelated
- FigsFigs
- TabsTabs
- RefsRefs
- CitedCited
- NanopubsNanopubs
- ReviewsReviews
-
Article metadata
-
1. Introduction
-
1.1. Background
-
1.2. Scope
-
1.3. Structure of the document
-
1.4. Conventions in the present document
-
1.4.1. Key terms
-
1.4.2. Recommendations of the report
-
1.4.3. References to other documents
-
-
-
2. The DiSSCo research infrastructure
-
2.1. Rationale for a Distributed System of Scientific Collections
-
2.1.1. Digitizing natural science (biological, geological) collections
-
2.1.2. Accelerating beyond the current situation
-
2.1.3. Disconnected infrastructure
-
2.1.4. Industrialising digitization
-
2.1.5. Understanding digitization
-
2.1.6. International landscape and DiSSCo positioning
-
-
2.2. Innovations and consolidations identified by ICEDIG
-
2.3. Overall approach and direction
-
2.3.1. Digitization, Digital Specimens and Digital Collections
-
2.3.2. The FAIR Guiding Principles
-
2.3.3. Minimum Information about a Digital Specimen (MIDS)
-
-
2.4. The provisional Data Management Plan for DiSSCo infrastructure
-
-
3. Arrangements, processes and practices
-
3.1. Role and development of a common digital research agenda
-
3.2. Common policy elements
-
3.3. Participation of citizen science
-
3.4. Organisation and partnering choices
-
3.4.1. Types of partnering
-
3.4.2. Customer-supplier relationships
-
3.4.3. Joint ventures
-
3.4.4. Stakeholder investment
-
3.4.5. Organising alliances
-
3.4.6. Identified strategic opportunities for DiSSCo
-
-
3.5. DiSSCo Centres of Excellence
-
3.6. Role of the private sector and options for public procurement
-
3.7. Open science provider partners
-
3.7.1. Generic data storage and computation services
-
3.7.2. EOSC and the FAIR Digital Object Framework
-
-
3.8. Legal and regulatory implications
-
3.8.1. Implications for establishment of research infrastructures
-
3.8.2. Implications for data management practices
-
3.8.3. Open research data
-
-
3.9. Mass digitization
-
3.9.1. Characteristics
-
3.9.2. Factors influencing digitization choices
-
3.9.3. Affordability and achievability
-
3.9.4. Organising mass digitization
-
3.9.5. Centres of Excellence for harmonising approaches in DiSSCo
-
-
3.10. Digitization-on-demand
-
3.10.1. Characteristics
-
3.10.2. A framework of prioritisation criteria
-
3.10.3. Offering digitization-on-demand for selected specimens
-
3.10.4. Pulling out selected specimens
-
3.10.5. Collection Digitization Dashboard
-
-
3.11. Incentives for digitization of private collections
-
3.12. Software engineering, deployment and operations
-
3.12.1. Software sustainability and maintenance
-
3.12.2. Organisation of engineering development and operations (DevOps)
-
-
-
4. Architecture, tools and technologies
-
4.1. Technical concept for data management
-
4.1.1. DiSSCo Digital Specimen Architecture (DSArch)
-
4.1.2. Principal components of DSArch
-
-
4.2. Implementation strategy
-
4.2.1. Action steps and phasing
-
4.2.2. Hub infrastructure
-
4.2.3. Data coupling
-
4.2.4. Beyond the initial phases
-
-
4.3. Innovations needed for data management infrastructure
-
4.3.1. Bringing technical innovations to required readiness level
-
4.3.2. NSId PID scheme
-
4.3.3. A standard for open Digital Specimens (openDS)
-
4.3.4. MIDS/MICS minimum information standards
-
4.3.5. FAIR Digital Object Framework (FDOF)
-
-
4.4. Open access guidelines
-
4.4.1. Minimum information standards
-
4.4.2. Use of public data repositories
-
4.4.3. Unrestrictive licensing, as open as possible
-
-
4.5. Service portfolio management
-
4.6. Digitization design alternatives
-
4.6.1. Mass imaging (2D)
-
4.6.2. Manual transcription
-
4.6.3. Automated text digitization
-
4.6.4. 3D capture methods
-
4.6.5. Quality
-
4.6.6. Use of automation and robotics
-
-
4.7. Long-term data preservation alternatives
-
4.7.1. Investigation of EUDAT, Zenodo, and national cloud alternatives
-
4.7.2. Reproducible research through research objects
-
-
-
5. Culture, skills and capacity building
-
5.1. Current practices, responsibilities and roles
-
5.1.1. Types of collections being digitized
-
5.1.2. Current digitization efforts
-
5.1.3. Current technical capacity
-
5.1.4. Cultural differences
-
5.1.5. The limitations of current capacities to perform digitization
-
5.1.6. Limitations in resources and funding
-
5.1.7. Digitization becoming business as usual
-
-
5.2. Effect of opening collections on knowledge exchange, collaboration and research
-
5.2.1. Effect on collaboration and research
-
5.2.2. Effect on mobility of collections
-
5.2.3. Effect on education, citizen science and private collections
-
-
5.3. Improving working methods and approaches
-
5.3.1. Re-organising work
-
5.3.2. Re-organising data management
-
5.3.3. Keeping records of digitization costs
-
-
5.4. Capacity building, maturity assessment, skills profiles
-
5.5. Training and working better together
-
5.6. Awareness raising and promotion in the Preparatory Phase
-
-
6. Governance and business model
-
6.1. Governance of the DiSSCo Programme
-
6.2. DiSSCo Preparatory Phase governance
-
6.2.1. Requirements for a new model
-
6.2.2. General Assembly
-
6.2.3. Coordination and Support Office
-
6.2.4. Advisory Bodies
-
6.2.5. Coordination Bodies
-
-
6.3. Options for sustainable funding
-
6.3.1. The critical funding path for DiSSCo
-
6.3.2. Criteria influencing national funding commitment towards DiSSCo
-
6.3.3. Direct funding model option
-
-
6.4. The need for new funding instruments
-
6.4.1. Diversification of funding streams
-
6.4.2. National funding frameworks
-
6.4.3. Consolidating national funding – The hourglass model
-
6.4.4. RI cluster funding
-
6.4.5. Governmental securities – shared liability
-
-
-
7. Conclusions
-
8. ICEDIG project deliverables
-
9. Glossary of terms and abbreviations
-
Appendix A: List of recommendations towards DiSSCo
-
Appendix B: FAIR Digital Object Framework (FDOF)
-
A.1. FDOF Technical Implementation Guideline
-
A.2. Change history
-
A.3. Generic guidelines
-
A.4. Requirements for FDOF
-
A.5. FDOF glossary
-
-
Appendix C: DiSSCo PID Requirements
-
Acknowledgements
-
References
-
Endnotes
Subscribe to email alerts for current Article's categories