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datasetjson vs FedData

A side-by-side editorial comparison of datasetjson and FedData — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

datasetjson vs FedData: at a glance

FeaturedatasetjsonFedData
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclinical-data, cdisc, json, r-packageropensci, geospatial, r-package, open-data
Last editorial update1h ago6h ago
WebsiteVisit →Visit →

What is datasetjson?

datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.

datasetjson reads and writes CDISC Dataset-JSON, the JSON replacement for SAS transport files in clinical-trial submissions. The package went from a thin reader in 2023 to a redesigned interface in 0.3.0 that targets the 1.1.0 schema, uses yyjsonr as its JSON backend, and exposes column metadata as first-class arguments. Development is contributor-driven inside the Atorus and pharmaverse orbit.

Read the full datasetjson trajectory →

What is FedData?

FedData has spent two major versions migrating US federal geodata off R's retiring spatial stack.

FedData downloads and standardises US federal geospatial datasets — NLCD, NHD, NED, SSURGO, Daymet, GHCN, PAD-US, NASS — into consistent R objects. Two breaking majors define the current package: 3.0.0 moved returns to sf and raster and pulled data from cloud-optimised GeoTIFFs, and 4.0.0 finished the job by dropping sp and raster entirely for terra and sf. Recent releases are dataset refreshes, most recently PAD-US 4.0.

Read the full FedData trajectory →

datasetjson vs FedData: editorial side-by-side

D
datasetjson
ANALYTICS
0.0

datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.

◆ Current state

datasetjson reads and writes CDISC Dataset-JSON, the JSON replacement for SAS transport files in clinical-trial submissions. The package went from a thin reader in 2023 to a redesigned interface in 0.3.0 that targets the 1.1.0 schema, uses yyjsonr as its JSON backend, and exposes column metadata as first-class arguments. Development is contributor-driven inside the Atorus and pharmaverse orbit.

◆ Where it's heading

The package's roadmap is not its own — it tracks a CDISC standard that is still moving, and 0.3.0 is what happens when the standard revises: object model, read and write paths, and JSON backend all changed together. Performance was addressed in the same pass, which matters because submission datasets are large enough that a slow serialiser is a real constraint.

◆ Prediction

The next significant release will most likely follow the next Dataset-JSON schema revision rather than an internal roadmap, given that 0.3.0 was driven entirely by the 1.1.0 update.

F
FedData
ANALYTICS
0.0

FedData has spent two major versions migrating US federal geodata off R's retiring spatial stack.

◆ Current state

FedData downloads and standardises US federal geospatial datasets — NLCD, NHD, NED, SSURGO, Daymet, GHCN, PAD-US, NASS — into consistent R objects. Two breaking majors define the current package: 3.0.0 moved returns to sf and raster and pulled data from cloud-optimised GeoTIFFs, and 4.0.0 finished the job by dropping sp and raster entirely for terra and sf. Recent releases are dataset refreshes, most recently PAD-US 4.0.

◆ Where it's heading

The package tracks two moving targets at once: the R spatial stack, which it has now fully migrated onto terra and sf, and the federal agencies whose URLs, file naming and hosting keep shifting. With the dependency migration finished, releases have shrunk to single-dataset updates such as annual NLCD and PAD-US 4.0, which suggests the structural work is done and the ongoing cost is data-source maintenance.

◆ Prediction

Expect continued small releases pinned to new vintages of the underlying federal datasets, plus fixes when an agency moves or reformats a source; no further dependency-level upheaval is visible in these entries.

Alternatives to datasetjson and FedData

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either datasetjson or FedData.

See all datasetjson alternatives → · See all FedData alternatives →

Recent activity from datasetjson and FedData

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1y agoFedDataget_padus() updated to PAD-US 4.0
  2. 1y agodatasetjsonDataset-JSON 1.1.0 support with a redesigned object model
  3. 1y agoFedDataAnnual NLCD access added; get_nass() retired
  4. 2y agodatasetjsonReads and validates Dataset-JSON from URLs
  5. 2y agoFedDatasp and raster dropped; everything returns terra or sf
  6. 2y agodatasetjsonInitial CRAN release
  7. 3y agoFedDataGHCN moves to https; NHD handles empty and odd geometries
  8. 3y agoFedDataAll raster writing moves to terra
  9. 3y agoFedDataVersion 3 rebuilds on sf and cloud-optimised GeoTIFFs

Frequently asked questions

What is the difference between datasetjson and FedData?

Both compete on the same themes — r-package — within Analytics. datasetjson and FedData are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is datasetjson better than FedData?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. datasetjson and FedData are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to datasetjson?

Top datasetjson alternatives in Analytics are ranked by recent ship velocity. Browse the "datasetjson alternatives" section above for the current picks, or visit /alternatives/datasetjson for the full list with editorial commentary on each.

What are the best alternatives to FedData?

Top FedData alternatives in Analytics are ranked by recent ship velocity. Browse the "FedData alternatives" section above for the current picks, or visit /alternatives/feddata for the full list with editorial commentary on each.