Roadmap

Prioritization

• Make next level in Python programming and structurally improve the repo: Read and apply the 2 Python books.
• Stabilize existing functionality
• Add features which are requested and/or with high impact.
• Learn from others and implement existing functionalities / code

High

Features

• Bug Fixes
• Mapping DSpace: big impact ()
• Mapping Dataverse Download: it's easy, and closes the data cycle (#16)
• Logging: improves tool quality ()
• Exception Handling: improves tool quality ()
• Re-Factor Exception Handling ()
• Function assertions ()
• Collect API Responses (-> Wiki) ()
• Diff ()

Improvements

• Import Dataset with DOI ()
• Lock Dataset ()
• Re-factor internal data structure of DVObject ()
• Do not allow overwrite of some class attributes ()

Others

• Migrate to CDCC ()
• Look at other projects who work with Dataverse metadata: improves tool quality ()
• Look at other projects who use pyDataverse: improves tool quality ()
• Setup API Tests and Test-Environment ()
• Visualize work: Screencast, Flow-chart ()

Medium

Features

• DVTree: mass actions are a next big step, but needs good foundation ()
• History: mass actions are a next big step, but needs good foundation ()
• Pipeline: mass actions are a next big step, but needs good foundation ()
• Mass Actions to Datasets: mass actions are a next big step, but needs good foundation ()

Improvements

• Check all API requests of Datasets for identifier compatibility (#17)
• Connect Api() and DVObject() ()
• API waiting time ()
• Upload ZIP files ()
• setup.py verbessern ()
• Dataset ID 2 Dataset PID ()
• Update Dataset Metadata ()
• Performance Testing ()
• Authentication and Endpoints ()
• Update metadata attribte ()
• Validate Directory- and Filenames for OS compatibility ()
• Clean Strings ()
• Add Dataset Draft to Download #42
• Get DOI for Repo (#25)

Others

• Add to jenkins.dataverse.org (#6)

Low

Features

• GUI ()
• SQLAlchemy Connector ()
• OAI PMH Connector ()
• Integrate Pandas: not sure, if this is really worth it ()
• Mapping CSV: cause of existing templates (#11)
• OAISTree: BagIt is more relevant, and AUSSDA use-cases are closed ()
• Mapping DDI XML: DANS ddi converter solved this problem ()
• ALMA ()
• BibTex: no real use-case imaginable ()

Improvements

• Return a pyDataverse object from an API requests (#9)
• Test file upload size ()
• Ordered Dicts ()
• Safety mechanism production instance ()
• Get all Datafile Version ()
• API Versioning ()
• Mapping Custom Dataverse Upload JSON ()
• Mapping Custom Dataverse Download JSON ()
• Mapping Custom XML ()
• Add URL to from_* functions ()

Others