diff --git a/emma-common/src/main/scala/eu/stratosphere/emma/api/DataBag.scala b/emma-common/src/main/scala/eu/stratosphere/emma/api/DataBag.scala
index 4766e2301..8043149c0 100644
--- a/emma-common/src/main/scala/eu/stratosphere/emma/api/DataBag.scala
+++ b/emma-common/src/main/scala/eu/stratosphere/emma/api/DataBag.scala
@@ -1,9 +1,5 @@
 package eu.stratosphere.emma.api
 
-import java.io.IOException
-
-import eu.stratosphere.emma.runtime.logger
-
 import scala.language.experimental.macros
 
 /**
@@ -157,47 +153,17 @@ sealed abstract class DataBag[+A] extends Serializable {
 /**
  * A DataBag backed by a parallel representation that can be evaluated in order to materialize the underlying values.
  *
- * Note: We want to avoid calling eval, unless we need to. We need to call it if the user
- *  1. calls fetch()
- *  2. uses the DataBag outside of the parallelize block
- *  3. uses the DataBag in a higher-order context
- * In the 3. case, the ParallelizedDataBag gets serialized and sent to the cluster. This wouldn't work
- * if we just sent the repr, because RDD or DataSet operations (like .collect()) can't be called from UDFs.
- * So, in this case, we detect that we are being serialized and call eval before it (and not ship the repr).
- *
  * @param name The name identifying the backing parallel representation.
  * @param repr The parallel representation for this bag.
- * @param eval The method that evaluates the parallel representation and fetches the values as a Seq[A].
+ * @param vals The method that evaluates the parallel representation and fetches the values as a Seq[A].
  * @tparam A The element type of this bag.
  * @tparam R The type of the parallel representation.
  */
+// FIXME: can we compute `vals` lazily without breaking serialization?
 sealed class ParallelizedDataBag[A, R] private[api](
-      val name: String,
-      @transient val repr: R,
-      eval: => Seq[A]) extends DataBag[A] with java.io.Serializable {
-
-  var valsCollected: Seq[A] = _
-
-  private def collectVals() = {
-    if(valsCollected == null) {
-      val startTime = System.nanoTime
-      valsCollected = eval
-      val time = Math.round((System.nanoTime - startTime) / 1e6)
-      logger.info(s"Fetching ParallelizedDataBag '$name' to the driver took $time ms")
-    }
-  }
-
-  private[emma] def vals: Seq[A] = {
-    collectVals()
-    valsCollected
-  }
-
-  @throws(classOf[IOException])
-  private def writeObject(out: java.io.ObjectOutputStream): Unit = {
-    collectVals()
-    out.defaultWriteObject()
-  }
-}
+    @transient val name: String,
+    @transient val repr: R,
+    private[emma] val vals: Seq[A]) extends DataBag[A]
 
 object DataBag {