{"id":56517,"date":"2025-11-05T07:36:23","date_gmt":"2025-11-05T07:36:23","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=56517"},"modified":"2026-02-21T08:28:38","modified_gmt":"2026-02-21T08:28:38","slug":"top-10-research-data-management-platforms-features-pros-cons-comparison","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/top-10-research-data-management-platforms-features-pros-cons-comparison\/","title":{"rendered":"Top 10 Research Data Management Platforms: Features, Pros, Cons & Comparison"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Introduction<\/strong><\/h2>\n\n\n\n

Research Data Management Platforms (RDMPs) are specialized systems designed to help researchers, institutions, and organizations collect, organize, store, document, share, and preserve research data<\/strong> throughout its entire lifecycle. From early data creation to long-term archiving and reuse, these platforms bring structure, governance, and transparency to increasingly complex research workflows.<\/p>\n\n\n\n

In today\u2019s research landscape, data volumes are exploding. Universities, laboratories, healthcare institutions, and R&D-driven enterprises must comply with funder mandates, ensure data integrity, protect sensitive information, and enable collaboration across teams and borders. Manual storage methods or generic file-sharing tools are no longer sufficient.<\/p>\n\n\n\n

Real-world use cases include:<\/strong><\/p>\n\n\n\n

    \n
  • Managing grant-funded research data with compliance requirements<\/li>\n\n\n\n
  • Enabling reproducible science through metadata and version control<\/li>\n\n\n\n
  • Securely sharing datasets across multi-institution collaborations<\/li>\n\n\n\n
  • Long-term preservation of valuable or irreplaceable research outputs<\/li>\n<\/ul>\n\n\n\n

    When choosing a Research Data Management Platform, users should evaluate data lifecycle coverage, metadata standards support, security controls, integrations, scalability, usability, and total cost of ownership<\/strong>.<\/p>\n\n\n\n

    Best for:<\/strong>
    Research Data Management Platforms are ideal for academic researchers, universities, research hospitals, government agencies, pharmaceutical R&D teams, and data-intensive enterprises<\/strong> that must manage structured and unstructured research data responsibly.<\/p>\n\n\n\n

    Not ideal for:<\/strong>
    These platforms may be excessive for solo researchers with minimal datasets, short-term projects without compliance needs, or teams that only require basic cloud file storage<\/strong>.<\/p>\n\n\n\n

    \n\n\n\n

    Top 10 Research Data Management Platforms Tools<\/strong><\/h2>\n\n\n\n
    \n\n\n\n

    1 \u2014 Dataverse<\/strong><\/h3>\n\n\n\n

    Short description:<\/strong>
    Dataverse is an open-source research data repository platform designed primarily for academic institutions and research organizations to share, preserve, and cite datasets.<\/p>\n\n\n\n

    Key features:<\/strong><\/p>\n\n\n\n

      \n
    • Dataset publishing with persistent identifiers<\/li>\n\n\n\n
    • Rich metadata support (discipline-specific schemas)<\/li>\n\n\n\n
    • Versioning and data citation<\/li>\n\n\n\n
    • Access controls and embargo management<\/li>\n\n\n\n
    • Integration with institutional repositories<\/li>\n\n\n\n
    • Long-term preservation workflows<\/li>\n<\/ul>\n\n\n\n

      Pros:<\/strong><\/p>\n\n\n\n

        \n
      • Strong academic adoption and credibility<\/li>\n\n\n\n
      • Excellent support for open science principles<\/li>\n<\/ul>\n\n\n\n

        Cons:<\/strong><\/p>\n\n\n\n

          \n
        • Interface may feel dated to some users<\/li>\n\n\n\n
        • Requires institutional IT support for hosting<\/li>\n<\/ul>\n\n\n\n

          Security & compliance:<\/strong>
          Encryption, access controls, GDPR-friendly; compliance varies by deployment.<\/p>\n\n\n\n

          Support & community:<\/strong>
          Extensive documentation, strong global academic community, institutional support available.<\/p>\n\n\n\n

          \n\n\n\n

          2 \u2014 Figshare<\/strong><\/h3>\n\n\n\n

          Short description:<\/strong>
          Figshare is a cloud-based platform that helps researchers store, publish, and showcase research outputs, including datasets, figures, and supplementary materials.<\/p>\n\n\n\n

          Key features:<\/strong><\/p>\n\n\n\n

            \n
          • Cloud hosting with DOI assignment<\/li>\n\n\n\n
          • Dataset versioning and metrics<\/li>\n\n\n\n
          • Metadata enrichment tools<\/li>\n\n\n\n
          • Institutional portals<\/li>\n\n\n\n
          • Integration with publisher workflows<\/li>\n\n\n\n
          • Usage and citation analytics<\/li>\n<\/ul>\n\n\n\n

            Pros:<\/strong><\/p>\n\n\n\n

              \n
            • Very user-friendly interface<\/li>\n\n\n\n
            • Strong visibility and discoverability features<\/li>\n<\/ul>\n\n\n\n

              Cons:<\/strong><\/p>\n\n\n\n

                \n
              • Costs increase with storage needs<\/li>\n\n\n\n
              • Limited customization compared to self-hosted tools<\/li>\n<\/ul>\n\n\n\n

                Security & compliance:<\/strong>
                SSO, encryption, GDPR compliance, ISO-aligned controls.<\/p>\n\n\n\n

                Support & community:<\/strong>
                High-quality onboarding, responsive enterprise support, strong institutional adoption.<\/p>\n\n\n\n

                \n\n\n\n

                3 \u2014 DMPTool<\/strong><\/h3>\n\n\n\n

                Short description:<\/strong>
                DMPTool focuses on helping researchers create, manage, and maintain compliant data management plans required by funding agencies.<\/p>\n\n\n\n

                Key features:<\/strong><\/p>\n\n\n\n

                  \n
                • Funder-specific DMP templates<\/li>\n\n\n\n
                • Collaborative plan editing<\/li>\n\n\n\n
                • Institutional customization<\/li>\n\n\n\n
                • Guidance and best-practice prompts<\/li>\n\n\n\n
                • Export and submission support<\/li>\n<\/ul>\n\n\n\n

                  Pros:<\/strong><\/p>\n\n\n\n

                    \n
                  • Excellent for grant compliance<\/li>\n\n\n\n
                  • Free or low-cost for many institutions<\/li>\n<\/ul>\n\n\n\n

                    Cons:<\/strong><\/p>\n\n\n\n

                      \n
                    • Not a full data storage platform<\/li>\n\n\n\n
                    • Limited post-project data lifecycle tools<\/li>\n<\/ul>\n\n\n\n

                      Security & compliance:<\/strong>
                      Basic access controls; compliance depends on institutional setup.<\/p>\n\n\n\n

                      Support & community:<\/strong>
                      Clear documentation, academic community support, limited enterprise services.<\/p>\n\n\n\n

                      \n\n\n\n

                      4 \u2014 Open Science Framework<\/strong><\/h3>\n\n\n\n

                      Short description:<\/strong>
                      The Open Science Framework (OSF) is a collaborative platform designed to manage research projects, data, and workflows transparently.<\/p>\n\n\n\n

                      Key features:<\/strong><\/p>\n\n\n\n

                        \n
                      • Project-based data organization<\/li>\n\n\n\n
                      • Integration with cloud storage services<\/li>\n\n\n\n
                      • Version control and provenance tracking<\/li>\n\n\n\n
                      • Pre-registration support<\/li>\n\n\n\n
                      • Public and private project spaces<\/li>\n<\/ul>\n\n\n\n

                        Pros:<\/strong><\/p>\n\n\n\n

                          \n
                        • Strong support for reproducible research<\/li>\n\n\n\n
                        • Integrates well with existing tools<\/li>\n<\/ul>\n\n\n\n

                          Cons:<\/strong><\/p>\n\n\n\n

                            \n
                          • Can feel complex for new users<\/li>\n\n\n\n
                          • Limited advanced analytics<\/li>\n<\/ul>\n\n\n\n

                            Security & compliance:<\/strong>
                            Encryption, access controls, GDPR-aware; HIPAA varies by configuration.<\/p>\n\n\n\n

                            Support & community:<\/strong>
                            Active research community, good documentation, nonprofit-driven support.<\/p>\n\n\n\n

                            \n\n\n\n

                            5 \u2014 CKAN<\/strong><\/h3>\n\n\n\n

                            Short description:<\/strong>
                            CKAN is an open-source data management system widely used for publishing, sharing, and discovering large datasets.<\/p>\n\n\n\n

                            Key features:<\/strong><\/p>\n\n\n\n

                              \n
                            • Dataset cataloging and metadata<\/li>\n\n\n\n
                            • API-driven architecture<\/li>\n\n\n\n
                            • Custom extensions and plugins<\/li>\n\n\n\n
                            • Search and discovery tools<\/li>\n\n\n\n
                            • Role-based access control<\/li>\n<\/ul>\n\n\n\n

                              Pros:<\/strong><\/p>\n\n\n\n

                                \n
                              • Highly customizable<\/li>\n\n\n\n
                              • Strong open-data ecosystem<\/li>\n<\/ul>\n\n\n\n

                                Cons:<\/strong><\/p>\n\n\n\n

                                  \n
                                • Requires technical expertise to deploy<\/li>\n\n\n\n
                                • UI customization takes effort<\/li>\n<\/ul>\n\n\n\n

                                  Security & compliance:<\/strong>
                                  Depends on hosting environment; supports encryption and access controls.<\/p>\n\n\n\n

                                  Support & community:<\/strong>
                                  Large open-source community, professional support available via partners.<\/p>\n\n\n\n

                                  \n\n\n\n

                                  6 \u2014 LabArchives<\/strong><\/h3>\n\n\n\n

                                  Short description:<\/strong>
                                  LabArchives combines electronic lab notebooks with data management capabilities for laboratory-based research teams.<\/p>\n\n\n\n

                                  Key features:<\/strong><\/p>\n\n\n\n

                                    \n
                                  • Structured lab notebooks<\/li>\n\n\n\n
                                  • Data attachment and annotation<\/li>\n\n\n\n
                                  • Collaboration and sharing<\/li>\n\n\n\n
                                  • Audit trails and timestamps<\/li>\n\n\n\n
                                  • Integration with instruments<\/li>\n<\/ul>\n\n\n\n

                                    Pros:<\/strong><\/p>\n\n\n\n

                                      \n
                                    • Excellent for wet-lab environments<\/li>\n\n\n\n
                                    • Easy adoption for scientists<\/li>\n<\/ul>\n\n\n\n

                                      Cons:<\/strong><\/p>\n\n\n\n

                                        \n
                                      • Limited large-scale data repository features<\/li>\n\n\n\n
                                      • Less suited for non-lab research<\/li>\n<\/ul>\n\n\n\n

                                        Security & compliance:<\/strong>
                                        SSO, encryption, audit logs, HIPAA-capable plans.<\/p>\n\n\n\n

                                        Support & community:<\/strong>
                                        Strong onboarding, responsive support, active life-sciences user base.<\/p>\n\n\n\n

                                        \n\n\n\n

                                        7 \u2014 Dryad<\/strong><\/h3>\n\n\n\n

                                        Short description:<\/strong>
                                        Dryad is a curated data repository focused on publishing datasets underlying scholarly publications.<\/p>\n\n\n\n

                                        Key features:<\/strong><\/p>\n\n\n\n

                                          \n
                                        • Dataset curation and review<\/li>\n\n\n\n
                                        • DOI assignment<\/li>\n\n\n\n
                                        • Journal integrations<\/li>\n\n\n\n
                                        • Metadata quality checks<\/li>\n\n\n\n
                                        • Long-term preservation<\/li>\n<\/ul>\n\n\n\n

                                          Pros:<\/strong><\/p>\n\n\n\n

                                            \n
                                          • High trust and credibility<\/li>\n\n\n\n
                                          • Strong publisher partnerships<\/li>\n<\/ul>\n\n\n\n

                                            Cons:<\/strong><\/p>\n\n\n\n

                                              \n
                                            • Narrow scope (publication-focused)<\/li>\n\n\n\n
                                            • Less flexible for internal data management<\/li>\n<\/ul>\n\n\n\n

                                              Security & compliance:<\/strong>
                                              Secure hosting, GDPR-aligned policies.<\/p>\n\n\n\n

                                              Support & community:<\/strong>
                                              Professional curation team, limited customization support.<\/p>\n\n\n\n

                                              \n\n\n\n

                                              8 \u2014 Synapse<\/strong><\/h3>\n\n\n\n

                                              Short description:<\/strong>
                                              Synapse is a collaborative platform for sharing, analyzing, and governing complex biomedical research data.<\/p>\n\n\n\n

                                              Key features:<\/strong><\/p>\n\n\n\n

                                                \n
                                              • Data governance controls<\/li>\n\n\n\n
                                              • Collaborative analytics<\/li>\n\n\n\n
                                              • Provenance tracking<\/li>\n\n\n\n
                                              • Controlled data access<\/li>\n\n\n\n
                                              • API integrations<\/li>\n<\/ul>\n\n\n\n

                                                Pros:<\/strong><\/p>\n\n\n\n

                                                  \n
                                                • Excellent for regulated biomedical research<\/li>\n\n\n\n
                                                • Strong governance features<\/li>\n<\/ul>\n\n\n\n

                                                  Cons:<\/strong><\/p>\n\n\n\n

                                                    \n
                                                  • Steeper learning curve<\/li>\n\n\n\n
                                                  • Less general-purpose<\/li>\n<\/ul>\n\n\n\n

                                                    Security & compliance:<\/strong>
                                                    Encryption, access governance, GDPR and HIPAA-aligned environments.<\/p>\n\n\n\n

                                                    Support & community:<\/strong>
                                                    Specialized support, active biomedical research community.<\/p>\n\n\n\n

                                                    \n\n\n\n

                                                    9 \u2014 Zenodo<\/strong><\/h3>\n\n\n\n

                                                    Short description:<\/strong>
                                                    Zenodo is an open repository enabling researchers to share datasets, software, and publications openly.<\/p>\n\n\n\n

                                                    Key features:<\/strong><\/p>\n\n\n\n

                                                      \n
                                                    • Free dataset hosting<\/li>\n\n\n\n
                                                    • DOI generation<\/li>\n\n\n\n
                                                    • Versioning<\/li>\n\n\n\n
                                                    • Open access support<\/li>\n\n\n\n
                                                    • Simple upload workflows<\/li>\n<\/ul>\n\n\n\n

                                                      Pros:<\/strong><\/p>\n\n\n\n

                                                        \n
                                                      • No-cost entry point<\/li>\n\n\n\n
                                                      • Strong open science alignment<\/li>\n<\/ul>\n\n\n\n

                                                        Cons:<\/strong><\/p>\n\n\n\n

                                                          \n
                                                        • Limited enterprise controls<\/li>\n\n\n\n
                                                        • Not designed for sensitive data<\/li>\n<\/ul>\n\n\n\n

                                                          Security & compliance:<\/strong>
                                                          Basic security, GDPR-aware, limited advanced compliance.<\/p>\n\n\n\n

                                                          Support & community:<\/strong>
                                                          Community-driven support, extensive documentation.<\/p>\n\n\n\n

                                                          \n\n\n\n

                                                          10 \u2014 ICPSR<\/strong><\/h3>\n\n\n\n

                                                          Short description:<\/strong>
                                                          ICPSR is a long-established repository specializing in social science research data archiving and preservation.<\/p>\n\n\n\n

                                                          Key features:<\/strong><\/p>\n\n\n\n

                                                            \n
                                                          • Curated social science datasets<\/li>\n\n\n\n
                                                          • Metadata and documentation standards<\/li>\n\n\n\n
                                                          • Restricted data access options<\/li>\n\n\n\n
                                                          • Long-term preservation<\/li>\n<\/ul>\n\n\n\n

                                                            Pros:<\/strong><\/p>\n\n\n\n

                                                              \n
                                                            • High-quality curation<\/li>\n\n\n\n
                                                            • Trusted by academic institutions<\/li>\n<\/ul>\n\n\n\n

                                                              Cons:<\/strong><\/p>\n\n\n\n

                                                                \n
                                                              • Limited to specific disciplines<\/li>\n\n\n\n
                                                              • Less flexible for general research<\/li>\n<\/ul>\n\n\n\n

                                                                Security & compliance:<\/strong>
                                                                Controlled access, encryption, GDPR-aware processes.<\/p>\n\n\n\n

                                                                Support & community:<\/strong>
                                                                Strong institutional support, training resources, academic focus.<\/p>\n\n\n\n

                                                                \n\n\n\n

                                                                Comparison Table<\/strong><\/h2>\n\n\n\n
                                                                Tool Name<\/th>Best For<\/th>Platform(s) Supported<\/th>Standout Feature<\/th>Rating<\/th><\/tr><\/thead>
                                                                Dataverse<\/td>Academic repositories<\/td>Web<\/td>Dataset citation & preservation<\/td>N\/A<\/td><\/tr>
                                                                Figshare<\/td>Institutional research<\/td>Web<\/td>Visibility & analytics<\/td>N\/A<\/td><\/tr>
                                                                DMPTool<\/td>Grant compliance<\/td>Web<\/td>Funder-aligned DMPs<\/td>N\/A<\/td><\/tr>
                                                                OSF<\/td>Collaborative research<\/td>Web<\/td>Reproducibility tools<\/td>N\/A<\/td><\/tr>
                                                                CKAN<\/td>Open data portals<\/td>Web, Self-hosted<\/td>Custom extensions<\/td>N\/A<\/td><\/tr>
                                                                LabArchives<\/td>Lab-based teams<\/td>Web<\/td>Electronic lab notebooks<\/td>N\/A<\/td><\/tr>
                                                                Dryad<\/td>Published datasets<\/td>Web<\/td>Curated data publishing<\/td>N\/A<\/td><\/tr>
                                                                Synapse<\/td>Biomedical research<\/td>Web<\/td>Data governance<\/td>N\/A<\/td><\/tr>
                                                                Zenodo<\/td>Open science<\/td>Web<\/td>Free DOI hosting<\/td>N\/A<\/td><\/tr>
                                                                ICPSR<\/td>Social sciences<\/td>Web<\/td>Expert curation<\/td>N\/A<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                                \n\n\n\n

                                                                Evaluation & Scoring of Research Data Management Platforms<\/strong><\/h2>\n\n\n\n
                                                                Evaluation Criteria<\/th>Weight<\/th>Key Considerations<\/th><\/tr><\/thead>
                                                                Core features<\/td>25%<\/td>Data lifecycle coverage, metadata, versioning<\/td><\/tr>
                                                                Ease of use<\/td>15%<\/td>Learning curve, UI clarity<\/td><\/tr>
                                                                Integrations & ecosystem<\/td>15%<\/td>Tools, APIs, workflows<\/td><\/tr>
                                                                Security & compliance<\/td>10%<\/td>Encryption, access control<\/td><\/tr>
                                                                Performance & reliability<\/td>10%<\/td>Stability, uptime<\/td><\/tr>
                                                                Support & community<\/td>10%<\/td>Documentation, help<\/td><\/tr>
                                                                Price \/ value<\/td>15%<\/td>Cost vs benefits<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                                \n\n\n\n

                                                                Which Research Data Management Platforms Tool Is Right for You?<\/strong><\/h2>\n\n\n\n
                                                                  \n
                                                                • Solo users:<\/strong> Zenodo or DMPTool for lightweight needs<\/li>\n\n\n\n
                                                                • SMBs & research groups:<\/strong> Figshare, OSF, LabArchives<\/li>\n\n\n\n
                                                                • Mid-market institutions:<\/strong> Dataverse, CKAN<\/li>\n\n\n\n
                                                                • Enterprise & regulated research:<\/strong> Synapse, ICPSR<\/li>\n<\/ul>\n\n\n\n

                                                                  Budget-conscious teams should prioritize open-source or community-supported tools, while premium solutions offer governance, support, and scalability. Balance feature depth vs usability<\/strong>, and always align the platform with security and compliance requirements<\/strong>.<\/p>\n\n\n\n

                                                                  \n\n\n\n

                                                                  Frequently Asked Questions (FAQs)<\/strong><\/h2>\n\n\n\n
                                                                    \n
                                                                  1. What is a Research Data Management Platform?<\/strong>
                                                                    A system that manages research data across its lifecycle, from creation to preservation.<\/li>\n\n\n\n
                                                                  2. Are these platforms mandatory for funded research?<\/strong>
                                                                    Many funders require structured data management and sharing plans.<\/li>\n\n\n\n
                                                                  3. Do all platforms store data?<\/strong>
                                                                    No, some focus on planning or collaboration rather than storage.<\/li>\n\n\n\n
                                                                  4. Are open-source tools reliable?<\/strong>
                                                                    Yes, when supported by active communities and proper hosting.<\/li>\n\n\n\n
                                                                  5. Can sensitive data be stored securely?<\/strong>
                                                                    Only platforms with strong governance and compliance controls should be used.<\/li>\n\n\n\n
                                                                  6. How long does implementation take?<\/strong>
                                                                    From hours (cloud tools) to months (institutional deployments).<\/li>\n\n\n\n
                                                                  7. Do these platforms support metadata standards?<\/strong>
                                                                    Most do, but supported schemas vary.<\/li>\n\n\n\n
                                                                  8. Is training required?<\/strong>
                                                                    Often minimal, but enterprise platforms benefit from onboarding.<\/li>\n\n\n\n
                                                                  9. Can platforms integrate with analysis tools?<\/strong>
                                                                    Many support APIs or external analytics integrations.<\/li>\n\n\n\n
                                                                  10. What is the biggest mistake buyers make?<\/strong>
                                                                    Choosing tools without considering long-term scalability and compliance.<\/li>\n<\/ol>\n\n\n\n
                                                                    \n\n\n\n

                                                                    Conclusion<\/strong><\/h2>\n\n\n\n

                                                                    Research Data Management Platforms play a critical role in ensuring data integrity, compliance, collaboration, and long-term value<\/strong> of research outputs. The best platform is not universal\u2014it depends on research domain, scale, security needs, and institutional goals<\/strong>. By carefully evaluating features, usability, integrations, and governance, organizations can select a solution that supports both today\u2019s research and tomorrow\u2019s discoveries.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                                    Introduction Research Data Management Platforms (RDMPs) are specialized systems designed to help researchers, institutions, and organizations collect, organize, store, document, share, and preserve research data throughout its entire lifecycle. From… <\/p>\n","protected":false},"author":58,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[11138],"tags":[18006,18016,18008,18011,18017,18012,18013,18010,18009,18007,18005,18004,18015,18014],"class_list":["post-56517","post","type-post","status-publish","format-standard","hentry","category-best-tools","tag-academic-data-management-tools","tag-collaborative-research-data-platforms","tag-data-management-for-research-institutions","tag-open-science-data-management-tools","tag-research-data-archiving-solutions","tag-research-data-compliance-tools","tag-research-data-governance-platforms","tag-research-data-lifecycle-management","tag-research-data-management-platforms","tag-research-data-management-software","tag-research-data-repository-software","tag-scientific-data-management-systems","tag-secure-research-data-storage","tag-university-research-data-management-systems"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/56517","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=56517"}],"version-history":[{"count":3,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/56517\/revisions"}],"predecessor-version":[{"id":59863,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/56517\/revisions\/59863"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=56517"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=56517"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=56517"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}