1. Workflows in RDM Matthew Addis Arkivum Part of the report “RDM workflows and integrations for HEIs using hosted services” DOI: 10.6084/m9.figshare.1476832

2. GENERIC ARCHIVE WORKFLOW

3. Generic deposit workflow Repository Archive Storage ReviewApprove Archive Storage Offsite Copies Researcher Editor Files Metadata Files safe Files safe Clear cache Clear cache Repository StorageResearcher files Files safe Delete originals DataCite Mint DOI

4. FIGSHARE WORKFLOWS

5. Figshare (Amazon) Archive (Arkivum) Researcher 8. Data DOI 2. Data files Local Research Data 5. Data DOI DataCite (BL) HR system 1. Researcher details Web browser 4. Mint DOI 3. Data Description Journal 7. Article CRIS (Elements) 6. Data DOI 12. Dataset Description and Data DOI 9.Article and Article DOI 14. Data files Repository (DSpace) 10. Article and Article DOI 13. Dataset Description And Data DOI Article DOI 16. Data is safe 15. Data is safe 11. Article DOI

6. Figshare Archive appliance 6. Data Researcher Uploader 4. Data URL 1. Prepare dataset Local Research Data 12. Data 3. Data 5. Data URL 2. Metadata, Visualisation Arkivum Service 9. Data 7. Request 11. Ready 8. Restore 10. Ready 12. Data Data user

7. EPRINTS WORKFLOWS

8. EPrints: deposit into the archive EPrints Arkivum Appliance 3. Review4. Approve Appliance Cache Arkivum Service Researcher Editor 6. Files 2. Files 1. Metadata 7. Files 8. Files safe 9. Files safe 9.1 Clear cache 8.1 Clear cache EPrints StorageResearcher files 10. Files safe 10.1 Delete originals DataCite 5. Mint DOI

9. Research data deposit and archive EPrints v Archive 5. Review 7. Approve Archive Cache Arkivum Service Researcher Editor 2. Create data folder 3. Files 1. Create record 9. Files 10. Files safe 11. Files safe Researcher files 12. Files safe DataCite 13. Mint DOI 4. Data ready 8. Protect 14. DOI 6. Check v Browser 15. DOI

10. EPrints: data access EPrints Arkivum Appliance 3. Review4. Approve Appliance Cache Arkivum Service Researcher Editor 7. Files ready 1. Request data 6. Files 9. Files Researcher files 2. Wait 5. Retrieve files 8. Files ready 10. Files

11. Direct archiving, large datasets EPrints Arkivum Appliance 6. Review 8. Approve 3. Files Appliance Cache Arkivum Service Researcher Editor 7. Check Data Uploader 2. Metadata 5. URL 1. Prepare dataset Local storage 9. Approve 4. URL 10. Files

12. EPrints Arkivum Appliance 2. Review 3. Approve 7. Upload Files (http, sftp, CIFS, NFS) Appliance Cache Arkivum Service Researcher Editor 1.Create Dataset Record Local storage 8. Files 4. Create Folder 5. Folder 6. Folder 9. Publish data Direct archiving, multi-protocol upload

13. DATA REPOSITORIES

14. Deposit into separate Publication and Data repositories Publication Repository Researcher 1. Deposit Publications 5. Retrieve publication ID and metadata 2. Deposit Data 4. Select publications 3. Lookup publications Data Repository 6. Review Need for DOI 7. Select for DOI minting Editor DataCite 8. Mint DOI

15. Retrieval from separate Publication and Data repositories Publication Repository Researcher 1. Lookup publication 2. Check for linked datasets 5. Retrieve Data Data Repository 3. Dataset records 4. Dataset locations

16. Research data presentation and access Presentation Website Researcher 8. Request original data 2. Deposit Data 4. Data EPrints Repository Website developer 1. Collaboration 3. Data URLS 5. Links scripts players Consumer 6. Use website 9. Review 10. Approve Administrator 11. Data 7. Usage stats

17. METRICS

18. Metrics EPrints Repository Researcher 1. Lookup publication IRUS-UK Google Analyics Altmetric 3. Article stats 5. Usage data 6. Usage report 4. User & access data Administrator 7. Usage report 8. Usage report 2. Browser data