diff --git a/apis/r/DESCRIPTION b/apis/r/DESCRIPTION
index c688df1961..ed931b0f33 100644
--- a/apis/r/DESCRIPTION
+++ b/apis/r/DESCRIPTION
@@ -6,7 +6,7 @@ Description: Interface for working with 'TileDB'-based Stack of Matrices,
     like those commonly used for single cell data analysis. It is documented at
     <https://github.com/single-cell-data>; a formal specification available is at
     <https://github.com/single-cell-data/SOMA/blob/main/abstract_specification.md>.
-Version: 1.15.99.2
+Version: 1.15.99.3
 Authors@R: c(
     person(given = "Aaron", family = "Wolen",
            role = c("cre", "aut"), email = "aaron@tiledb.com",
diff --git a/apis/r/NAMESPACE b/apis/r/NAMESPACE
index 522816de8a..38be0a27ee 100644
--- a/apis/r/NAMESPACE
+++ b/apis/r/NAMESPACE
@@ -11,6 +11,9 @@ S3method(itertools::hasNext,CoordsStrider)
 S3method(length,CoordsStrider)
 S3method(length,MappingBase)
 S3method(names,MappingBase)
+S3method(r_type_from_arrow_type,DataType)
+S3method(r_type_from_arrow_type,Field)
+S3method(r_type_from_arrow_type,Schema)
 S3method(write_soma,Assay)
 S3method(write_soma,DataFrame)
 S3method(write_soma,DimReduc)
@@ -84,6 +87,7 @@ export(has_metadata)
 export(list_datasets)
 export(load_dataset)
 export(matrixZeroBasedView)
+export(r_type_from_arrow_type)
 export(set_log_level)
 export(set_metadata)
 export(show_package_versions)
diff --git a/apis/r/NEWS.md b/apis/r/NEWS.md
index 72006387a6..912dcdad8c 100644
--- a/apis/r/NEWS.md
+++ b/apis/r/NEWS.md
@@ -9,6 +9,7 @@
 * Push `schema` accessor down to `libtiledbsoma` [#3079](https://github.com/single-cell-data/TileDB-SOMA/pull/3079)
 * Handle `numeric` coords properly when reading arrays
 * Remove two more `tiledb::schema` callsites [#3160](https://github.com/single-cell-data/TileDB-SOMA/pull/3160)
+* Add new Arrow-to-R type mapper
 
 # tiledbsoma 1.14.1
 
diff --git a/apis/r/R/TileDBArray.R b/apis/r/R/TileDBArray.R
index 2d4ec6aa6c..54ece1450d 100644
--- a/apis/r/R/TileDBArray.R
+++ b/apis/r/R/TileDBArray.R
@@ -132,8 +132,7 @@ TileDBArray <- R6::R6Class(
     #' @description Retrieve the array schema as an Arrow schema (lifecycle: maturing)
     #' @return A [`arrow::schema`] object
     schema = function() {
-      arrow::as_schema(
-        c_schema(self$uri, private$.soma_context));
+      return(arrow::as_schema(c_schema(self$uri, private$.soma_context)))
     },
 
     #' @description Retrieve the array schema as TileDB schema (lifecycle: maturing)
diff --git a/apis/r/R/utils-arrow.R b/apis/r/R/utils-arrow.R
index a7d3d4df3e..ac429720f7 100644
--- a/apis/r/R/utils-arrow.R
+++ b/apis/r/R/utils-arrow.R
@@ -114,6 +114,92 @@ arrow_type_from_tiledb_type <- function(x) {
   )
 }
 
+#' Get the \R Type from an Arrow Type
+#'
+#' Get an \R \link[base:typeof]{type} from an Arrow type. This function is
+#' equivalent to \code{\link[base]{typeof}()} rather than
+#' \code{\link[base]{mode}()} or \code{\link[base]{class}()}, and returns the
+#' equivalent \strong{type}. For example, the equivalent \R type to an Arrow
+#' \link[arrow]{dictionary} is \dQuote{\code{integer}}, not
+#' \dQuote{\code{factor}}; likewise, the equivalent \R type to an Arrow 64-bit
+#' integer is \dQuote{\code{double}}
+#'
+#' @param x An \CRANpkg{Arrow} \link[arrow:Schema]{schema},
+#' \link[arrow:Field]{field}, or \link[arrow:infer_type]{data type}
+#'
+#' @return If \code{x} is a \link[arrow:infer_type]{data type}, a single
+#' character value giving the \R \link[base:typeof]{type} of \code{x}; if no
+#' corresponding \R type, returns the \CRANpkg{Arrow} type name
+#'
+#' @return If \code{x} is a \link[arrow:Field]{field}, a single named character
+#' vector with the name being the field name and the value being the \R
+#' \link[base:typeof]{type}
+#'
+#' @return If \code{x} is a \link[arrow:Schema]{schema}, a named vector where
+#' the names are field names and the values are the \R \link[base:typeof]{types}
+#' of each field
+#'
+#' @keywords internal
+#'
+#' @export
+#'
+#' @seealso \code{\link[base]{typeof}()}
+#'
+r_type_from_arrow_type <- function(x) UseMethod('r_type_from_arrow_type')
+
+#' @rdname r_type_from_arrow_type
+#'
+#' @method r_type_from_arrow_type Schema
+#' @export
+#'
+r_type_from_arrow_type.Schema <- function(x) {
+  return(vapply(
+    X = x$names,
+    FUN = function(f) r_type_from_arrow_type(x[[f]]),
+    FUN.VALUE = character(1L),
+    USE.NAMES = TRUE
+  ))
+}
+
+#' @rdname r_type_from_arrow_type
+#'
+#' @method r_type_from_arrow_type Field
+#' @export
+#'
+r_type_from_arrow_type.Field <- function(x) {
+  tt <- r_type_from_arrow_type(x$type)
+  names(x = tt) <- x$name
+  return(tt)
+}
+
+#' @rdname r_type_from_arrow_type
+#'
+#' @method r_type_from_arrow_type DataType
+#' @export
+#'
+r_type_from_arrow_type.DataType <- function(x) {
+  # Types are equivalent to `typeof()`, not `mode()` or `class()`
+  return(switch(
+    EXPR = x$name,
+    int8 = ,
+    int16 = ,
+    int32 = ,
+    dictionary = ,
+    uint8 = ,
+    uint16 = ,
+    uint32 = 'integer',
+    int64 = ,
+    uint64 = ,
+    date32 = ,
+    timestamp = ,
+    float = 'double',
+    bool = 'logical',
+    utf8 = ,
+    large_utf8 = 'character',
+    x$name
+  ))
+}
+
 #' Retrieve limits for Arrow types
 #' @importFrom bit64 lim.integer64
 #' @noRd
@@ -174,10 +260,9 @@ arrow_field_from_tiledb_dim <- function(x) {
 ## With a nod to Kevin Ushey
 #' @noRd
 yoink <- function(package, symbol) {
-    do.call(":::", list(package, symbol))
+  do.call(":::", list(package, symbol))
 }
 
-
 #' Create an Arrow field from a TileDB attribute
 #' @noRd
 arrow_field_from_tiledb_attr <- function(x, arrptr=NULL) {
diff --git a/apis/r/man/r_type_from_arrow_type.Rd b/apis/r/man/r_type_from_arrow_type.Rd
new file mode 100644
index 0000000000..4bb62a59c7
--- /dev/null
+++ b/apis/r/man/r_type_from_arrow_type.Rd
@@ -0,0 +1,47 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utils-arrow.R
+\name{r_type_from_arrow_type}
+\alias{r_type_from_arrow_type}
+\alias{r_type_from_arrow_type.Schema}
+\alias{r_type_from_arrow_type.Field}
+\alias{r_type_from_arrow_type.DataType}
+\title{Get the \R Type from an Arrow Type}
+\usage{
+r_type_from_arrow_type(x)
+
+\method{r_type_from_arrow_type}{Schema}(x)
+
+\method{r_type_from_arrow_type}{Field}(x)
+
+\method{r_type_from_arrow_type}{DataType}(x)
+}
+\arguments{
+\item{x}{An \CRANpkg{Arrow} \link[arrow:Schema]{schema},
+\link[arrow:Field]{field}, or \link[arrow:infer_type]{data type}}
+}
+\value{
+If \code{x} is a \link[arrow:infer_type]{data type}, a single
+character value giving the \R \link[base:typeof]{type} of \code{x}; if no
+corresponding \R type, returns the \CRANpkg{Arrow} type name
+
+If \code{x} is a \link[arrow:Field]{field}, a single named character
+vector with the name being the field name and the value being the \R
+\link[base:typeof]{type}
+
+If \code{x} is a \link[arrow:Schema]{schema}, a named vector where
+the names are field names and the values are the \R \link[base:typeof]{types}
+of each field
+}
+\description{
+Get an \R \link[base:typeof]{type} from an Arrow type. This function is
+equivalent to \code{\link[base]{typeof}()} rather than
+\code{\link[base]{mode}()} or \code{\link[base]{class}()}, and returns the
+equivalent \strong{type}. For example, the equivalent \R type to an Arrow
+\link[arrow]{dictionary} is \dQuote{\code{integer}}, not
+\dQuote{\code{factor}}; likewise, the equivalent \R type to an Arrow 64-bit
+integer is \dQuote{\code{double}}
+}
+\seealso{
+\code{\link[base]{typeof}()}
+}
+\keyword{internal}
diff --git a/apis/r/tests/testthat/test-r-arrow-types.R b/apis/r/tests/testthat/test-r-arrow-types.R
new file mode 100644
index 0000000000..95b5e12617
--- /dev/null
+++ b/apis/r/tests/testthat/test-r-arrow-types.R
@@ -0,0 +1,93 @@
+test_that("Arrow to R types: data type", {
+  skip_if(!extended_tests())
+  skip_if_not_installed('arrow')
+
+  ints <- apply(
+    expand.grid(c('', 'u'), 'int', c('8', '16', '32')),
+    MARGIN = 1L,
+    FUN = paste,
+    collapse = ''
+  )
+  for (i in c(ints, 'dictionary')) {
+    f <- get(i, envir = asNamespace('arrow'))
+    expect_type(rt <- r_type_from_arrow_type(f()), 'character')
+    expect_length(rt, 1L)
+    expect_null(names(rt))
+    expect_identical(
+      rt,
+      'integer',
+      label = sprintf('r_type_from_arrow_type(arrow::%s())', i)
+    )
+  }
+
+  dbls <- c('int64', 'uint64', 'date32', 'timestamp' ,'float', 'float32')
+  for (i in dbls) {
+    f <- get(i, envir = asNamespace('arrow'))
+    expect_type(rt <- r_type_from_arrow_type(f()), 'character')
+    expect_length(rt, 1L)
+    expect_null(names(rt))
+    expect_identical(
+      rt,
+      'double',
+      label = sprintf('r_type_from_arrow_type(arrow::%s())', i)
+    )
+  }
+
+  for (i in c('bool', 'boolean')) {
+    f <- get(i, envir = asNamespace('arrow'))
+    expect_type(rt <- r_type_from_arrow_type(f()), 'character')
+    expect_length(rt, 1L)
+    expect_null(names(rt))
+    expect_identical(
+      rt,
+      'logical',
+      label = sprintf('r_type_from_arrow_type(arrow::%s())', i)
+    )
+  }
+  for (i in c('utf8', 'string', 'large_utf8')) {
+    f <- get(i, envir = asNamespace('arrow'))
+    expect_type(rt <- r_type_from_arrow_type(f()), 'character')
+    expect_length(rt, 1L)
+    expect_null(names(rt))
+    expect_identical(
+      rt,
+      'character',
+      label = sprintf('r_type_from_arrow_type(arrow::%s())', i)
+    )
+  }
+})
+
+test_that("Arrow to R types: field", {
+  skip_if(!extended_tests())
+  skip_if_not_installed('arrow')
+
+  field <- arrow::field(name = random_name(), type = arrow::int8())
+  expect_type(rt <- r_type_from_arrow_type(field), 'character')
+  expect_length(rt, 1L)
+  expect_named(rt, field$name)
+  expect_equivalent(rt, 'integer')
+})
+
+test_that("Arrow to R types: schema", {
+  skip_if(!extended_tests())
+
+  asch <- create_arrow_schema()
+  expect_type(rt <- r_type_from_arrow_type(asch), 'character')
+  expect_length(rt, length(asch))
+  expect_named(rt, asch$names)
+  for (fn in names(rt)) {
+    et <- switch(
+      EXPR = fn,
+      int_column = 'integer',
+      soma_joinid = 'double',
+      float_column = 'double',
+      string_column = 'character'
+    )
+    expect_equivalent(
+      rt[fn],
+      et,
+      label = sprintf('r_type_from_arrow_type(schema[[%s]])', fn),
+      expected.label = dQuote(et, FALSE)
+    )
+  }
+})