{
  "id": "lib-process:scientific-discovery--reproducible-research-pipeline",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "reproducible-research-pipeline",
    "description": "Establish version-controlled, documented workflows - Guides researchers through\ncreating fully reproducible research pipelines with proper version control, documentation, and automation.",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/reproducible-research-pipeline.js",
    "specialization": "scientific-discovery",
    "references": [
      "- Wilson, G. et al. (2017). Good Enough Practices in Scientific Computing\n- Sandve, G.K. et al. (2013). Ten Simple Rules for Reproducible Computational Research\n- Stodden, V. et al. (2014). Implementing Reproducible Research\n- The Turing Way Community (2022). The Turing Way: A Handbook for Reproducible Data Science"
    ],
    "example": "const result = await orchestrate('domains/science/scientific-discovery/reproducible-research-pipeline', {\n  project: { name: 'Climate Analysis Study', language: 'R', framework: 'targets' },\n  data: { sources: ['weather_stations.csv', 'satellite_data.nc'], preprocessing: ['cleaning', 'imputation'] },\n  analyses: ['descriptive_stats', 'regression_models', 'sensitivity_analysis'],\n  outputFormats: ['pdf_report', 'html_dashboard', 'data_archive']\n});",
    "usesAgents": [
      "hypothesis-generator"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:scientific-discovery--reproducible-research-pipeline",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--reproducible-research-pipeline",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--reproducible-research-pipeline",
      "to": "skill-area:deep-web-research",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:scientific-discovery--reproducible-research-pipeline",
      "to": "domain:scientific-discovery",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--reproducible-research-pipeline",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--reproducible-research-pipeline",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--reproducible-research-pipeline",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--reproducible-research-pipeline",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--reproducible-research-pipeline",
      "to": "specialization:scientific-research-methods",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--reproducible-research-pipeline",
      "to": "specialization:scientific-discovery",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}