'$RCSfile: eml-dataset.xsd,v $'
Copyright: 1997-2002 Regents of the University of California,
University of New Mexico, and
Arizona State University
Sponsors: National Center for Ecological Analysis and Synthesis and
Partnership for Interdisciplinary Studies of Coastal Oceans,
University of California Santa Barbara
Long-Term Ecological Research Network Office,
University of New Mexico
Center for Environmental Studies, Arizona State University
Other funding: National Science Foundation (see README for details)
The David and Lucile Packard Foundation
For Details: http://knb.ecoinformatics.org/
'$Author: obrien $'
'$Date: 2009-02-25 23:51:54 $'
'$Revision: 1.59 $'
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it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
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eml-dataset
The eml-dataset module - Dataset specific
information
The eml-dataset module contains general information that describes
dataset resources. It is intended to provide overview information
about the dataset: broad information such as the title, abstract,
keywords, contacts, maintenance history, purpose, and distribution
of the data themselves. The eml-dataset module also imports many
other modules that are used to describe the dataset in fine
detail. Specifically, it uses the eml-methods module to
describe methodology used in collecting or processing the
dataset, the eml-project module to describe the overarching
research context and experimental design, the eml-access module
to define access control rules for the data and metadata, and
the eml-entity module to provide detailed information about the
logical structure of the dataset. A dataset can be (and often is)
composed of a series of data entities (tables) that are linked
together by particular integrity constraints.
The eml-dataset module, like other modules, may be
"referenced" via the <references> tag. This
allows a dataset to be described once, and then used as a
reference in other locations within the EML document via its ID.
all datasets
yes
Dataset Descriptors
The dataset field encompasses all information about
a single dataset.
The dataset field encompasses all information about
a single dataset. A dataset is defined as all of the
information describing a data collection event. This event may take
place over some period of time and include many actual collections (a
time series or remote sensing application)
or it could be just one actual collection
(a day in the field).
Dataset
DatasetType is the base type for the dataset
element.
DatasetType is the base type for the dataset element.
The dataset field encompasses all information about
a single dataset. A dataset is defined as all of the
information describing a data collection event. This event may take
place over some period of time and include many actual collections (a
time series or remote sensing application)
or it could be just one actual collection
(a day in the field).
Purpose
A description of the purpose of this
dataset.
A description of the purpose of this
dataset. Note that this element requires DocBook style
formatting. See eml-text for more information.
Maintenance
A description of the maintenance of this data
resource.
A description of the maintenance of this data
resource. This includes information about the frequency of
update, and whether there is ongoing data
collection.
Contact
The contact for this dataset
The contact field contains contact information
for this dataset. This is the
person or institution to contact with questions about the use,
interpretation of a data set.
Data Set Publisher
The publisher of this data set
The publisher of this data set. At times this is
a traditional publishing house, but it may also simply be an
institution that is making the data available in a published (ie,
citable) format.
Publication place
The location that the resource was
published.
The pubPlace field is the location where the
resource was published, which may be different from where the
resource was created.
San Francisco, CA, USA
New York, NY, USA
methods
The methods field documents scientific methods
used in the collection of this dataset.
The methods field documents scientific methods
used in the collection of this dataset. It includes information
on items such as tools, instrument calibration and
software.
project
The project field contains information on
the project in which this dataset was collected.
The project field contains information on
the project in which this dataset was collected. It includes
information such as project personnel, funding, study area,
project design and related projects. The project description
can also contain documentation on subprojects.
data table
The dataTable field documents the dataTable(s)
that make up this dataset.
The dataTable field documents the dataTable(s)
that make up this dataset. A dataTable could be anything from
a Comma Separated Value (CSV) file to a spreadsheet to a table
in an RDBMS.
spatial raster
The spatialRaster field describes any
spatial raster images included in this dataset.
The spatialRaster field describes any
spatial raster images included in this dataset.
spatial vector
The spatialVector field describes any
spatial vectors included in this dataset.
The spatialVector field describes any
spatial vectors included in this dataset.
stored procedure
The storedProcedure field contains information
about any stored procedures included with this
dataset.
The storedProcedure field contains information
about any stored procedures included with this dataset.
This usually implies that the dataset is stored in a DBMS or
some other data management system capable of processing your
dataset.
view
The view field contains information
about any views included with this
dataset.
The view field contains information
about any view included with this dataset.
This usually implies that the dataset is stored in a DBMS or
some other data management system capable of processing your
dataset.
other entity
The otherEntity field contains information
about any entity in the dataset that is not any of the
preceding entities.
The otherEntity field contains information
about any entity in the dataset that is not any of the
preceding entities. (i.e. it is not a table, spatialRaster,
spatialVector, storedProcedure or view.) OtherEntity allows
the documentation of basic entity fields as well as
a plain text field to allow you to type your
entity.
Maintenance Type
The maintenance type defines the fields for the
maintenance element. It encompasses all information related to
the maintenance and upkeep of this dataset.
The maintenance type defines the fields for the
maintenance element.
Maintenance Description
A text description of the maintenance of this data
resource.
A text description of the maintenance of this data
resource. Note that this field must be marked up using DocBook
like tagging. See eml-text for more information.
Maintenance Update Frequency
Frequency with which changes and additions are made
to the dataset
after the initial dataset is completed.
Frequency with which changes and additions are made
to the dataset
after the initial dataset is completed. The values for this
field must come from the enumeration MaintUpFreqType.
Change History
A description of changes made to the data since its
release.
A description of changes made to the data since
its release.
Change Scope
An expression describing the scope to which the
documented change was
applied.
The expression should unambiguously identify
the entity(s) and attribute(s) that were
changed.
Old Value
The previous value of the data prior to the
change.
The previous value or an expression that
describes the previous value of the
data.
Change Date
The date the changes were applied.
The date the changes were
applied.
Comment
Explanation or justification for the change
made to the data.
Explanation or justification for the change
made to the data.