Research publication data collection and reporting

Purpose

1.1. Automate research publication data collection processes from faculty members, online repositories, and internal databases, streamlining input.
1.2. Automatedly aggregate publication metadata, citation metrics, authorship records, and compliance with institutional/industry standards for science faculties.
1.3. Automate reporting for audits, accreditation, government funding, and faculty benchmarking by configuring workflows across various data and reporting systems.
1.4. Enable automated compliance checks for research output policies, fostering data-driven decisions for education administrators.

Trigger Conditions

2.1. New publication record created in faculty/external repository (automated event trigger).
2.2. Periodic scheduled check (daily/weekly) for publications updates.
2.3. Manual or automated submission by faculty for review or reporting period closure.
2.4. External database update for citation count, metrics, or compliance changes.
2.5. Automated trigger on detection of incomplete metadata.

Platform Variants

3.1. Google Scholar
• Feature/Setting: API scraping via the "publications list" endpoint and author profiles automates pulling publication data.
3.2. Scopus
• Feature/Setting: Scopus Search API configuration for automated syndication of citation counts and abstracts into reports.
3.3. Web of Science
• Feature/Setting: Web of Science API automates harvesting indexed faculty publications and their research impact.
3.4. ORCID
• Feature/Setting: Member API automator configured for research activity sync and author ID correlations.
3.5. Crossref
• Feature/Setting: REST API auto-queries for recent DOIs cited in institutional reports.
3.6. PubMed
• Feature/Setting: Automated E-utilities API to fetch new biomedical publications linked to faculty members.
3.7. Microsoft Academic Graph
• Feature/Setting: API automates data enrichment for institutional publication records.
3.8. Dimensions
• Feature/Setting: API automatable queries for funding and publication metrics reporting.
3.9. Altmetric
• Feature/Setting: Badges API set to automatically enrich publication records with impact scores.
3.10. Figshare
• Feature/Setting: REST API automates data sync for datasets and supplementary publication files.
3.11. Mendeley
• Feature/Setting: Automated REST sync for institutional library and citation management.
3.12. Elsevier APIs
• Feature/Setting: ScienceDirect API configured to automate retrieval of publication full texts.
3.13. Zendesk
• Feature/Setting: Ticketing API for automating faculty queries and compliance issue reporting.
3.14. Salesforce
• Feature/Setting: REST/SOAP API for automated CRM integration with publication achievements.
3.15. Microsoft Dynamics 365
• Feature/Setting: Automated data sync with publication databases for faculty profile updates.
3.16. SharePoint
• Feature/Setting: REST API triggering automated publishing and archiving of research output.
3.17. Dropbox
• Feature/Setting: API automates storing and sharing of publication documentation.
3.18. Slack
• Feature/Setting: Bot API for automated notifications on publication milestones.
3.19. Google Drive
• Feature/Setting: API automation for storing, managing, and sharing periodic reports.
3.20. Trello
• Feature/Setting: Automated board/card creation via API for publication workflow stages.
3.21. Mailchimp
• Feature/Setting: Automated campaign trigger via API for distribution of publication highlights.
3.22. Power BI
• Feature/Setting: REST API for automating interactive research output dashboards.
3.23. Tableau
• Feature/Setting: Automated data pipeline connection to visualize research publication analytics.

Benefits

4.1. Automates manual data entry, eliminating errors in publication records.
4.2. Automation accelerates compliance checking for faculty and institutional policies.
4.3. Automated reporting improves transparency for audits and accreditation reviews.
4.4. Automates faculty engagement through notification workflows and milestone reminders.
4.5. Automator-driven processes standardize research reporting, saving administrative effort.
4.6. Automating data flows enables real-time updating of institutional research metrics.
4.7. Automation reduces lag between publication and acknowledgment.
4.8. Automatedly enriches data with citation metrics and impact scores.
4.9. Facilitates automatable sharing of dashboards and compliance documents.
4.10. Promotes data-driven culture by enhancing automated access to research analytics.