Ecological Metadata Language (EML) SpecificationPrefaceIntroduction
The Ecological Metadata Language (EML) is a metadata standard developed by
the ecology discipline and for the ecology discipline. It is based on
prior work done by the Ecological Society of America and associated
efforts (Michener et al., 1997, Ecological Applications). EML is
implemented as a series of XML document types that can by used in a
modular and extensible manner to document ecological data. Each EML
module is designed to describe one logical part of the total metadata
that should be included with any ecological dataset.
Purpose Statement
To provide the ecological community with an extensible, flexible,
metadata standard for use in data analysis and archiving that will
allow automated machine processing, searching and retrieval.
Features
The architecture of EML was designed to serve the needs of the
ecological community, and has benefitted from previous work in other
related metadata languages. EML has adopted the strengths of many of
these languages, but also addresses a number of short-comings that
have proved to inhibit the automated processing and integration of
dataset resources via their metadata.
The following list represents some of the features of EML:
Modularity: EML was designed as a collection of modules rather than
one large standard to facilitate future growth of the language in both
breadth and depth. By implementing EML with an extensible
architecture, groups may choose which of the core modules are
pertinent to describing their data, literature, and software
resources. Also, if EML falls short in a particular area, it may be
extended by creating a new module that describes the resource (e.g. a
detailed soils metadata profile that extends eml-dataset). The intent
is to provide a common set of core modules for information exchange,
but to allow for future customizations of the language without the
need of going through a lengthy 'approval' process.
Detailed Structure: EML strives to balance the tradeoff of too much
detail with enough detail to enable advanced services in terms of
processing data through the parsing of accompanied metadata.
Therefore, a driving question throughout the design was: 'Will this
particular piece of information be machine-processed, just human
readable, or both?' Information was then broken down into more highly
structured elements when the answer involved machine processing.
Compatibility: EML adopts much of it's syntax from the other metadata
standards that have evolved from the expertise of groups in other
disciplines. Whenever possible, EML adopted entire trees of
information in order to facilitate conversion of EML documents into
other metadata languages. EML was designed with the following
standards in mind: Dublin Core Metadata Initiative, the Content
Standard for Digital Geospatial Metadata (CSDGM from the US geological
Survey's Federal Geographic Data Committee (FGDC)), the Biological
Profile of the CSDGM (from the National Biological Information
Infrastructure), the International Standards Organization's Geographic
Information Standard (ISO 19115), the ISO 8601 Date and Time Standard,
the OpenGIS Consortiums's Geography Markup Language (GML), the
Scientific, Technical, and Medical Markup Language (STMML), and the
Extensible Scientific Interchange Language (XSIL).
Strong Typing: EML is implemented in an Extensible Markup Language
(XML) known as XML
Schema, which is a language that defines the rules
that govern the EML syntax. XML Schema is an internet recommendation
from the World Wide Web Consortium,
and so a
metadata document that is said to comply with the syntax of EML will
structurally meet the criteria defined in the XML Schema documents for
EML. Over and above the structure (what elements can be nested within
others, cardinality, etc.), XML Schema provides the ability to use
strong
data typing within elements. This allows for finer validation of the
contents of the element, not just it's structure. For instance, an
element may be of type 'date', and so the value that is inserted in
the field will be checked against XML Schema's definition of a date.
Traditionally, XML documents (including previous versions of EML)
have been validated against Document Type
Definitions (DTDs), which do not provide a means to employ strong
validation on field values through typing.
There is a distinction between the content model (i.e. the concepts
behind the structure of a document - which fields go where, cardinality,
etc.) and the syntactic implementation of that model (the technology
used to express the concepts defined in the content model).
The normative sections below define the content model and the
XML Schema documents distributed with EML define the syntactic
implementation. For the foreseeable future, XML Schema will be the
syntactic specification, although it may change later.
Overview of EML modules and their useModule Overview Foreword
The following section briefly describes each EML module and how they
are logically designed in order to document ecological resources.
Some of the modules are dependent on others, while others may be used
as stand-alone descriptions. This section describes the modules using
a "top down" approach, starting from the top-level eml wrapper
module, followed by modules of increasing detail. However, there are
modules that may be used at many levels, such as eml-access.
These modules are described when it is appropriate.
Root-level structure
The eml module - A metadata container The eml module is a wrapper container that allows the inclusion of any metadata
content in a single EML document. The eml module is used as a container to hold
structured descriptions of ecological resources. In EML, the definition of a resource
comes from the The Dublin Core Metadata Initiative , which describes a general element set used to describe "networked digital
resources". The top-level structure of EML has been designed to be compatible with the
Dublin Core syntax. In general, dataset resources, literature resources, software
resources, and protocol resources comprise the list of information that may be
described in EML. EML is largely designed to describe digital resources, however, it
may also be used to describe non-digital resources such as paper maps and other
non-digital media. In EML, the definition of a "Data Package" is the
combination of both the data and metadata for a resource. So, data
packages are built by using the <eml> wrapper, which will include all of
the metadata, and optionally the data (or references to them). All EML packages must
begin with the <eml> tag and end with the </eml> tag. The eml module may be extended to describe other resources by means of its
optional sub-field, <additionalMetadata>. This field is largely reserved
for the inclusion of metadata that may be highly discipline specific and not covered
in this version of EML, or it may be used to internally extend fields within the EML
standard.
The eml-resource module - Base information for
all resources
The eml-resource module contains general information that
describes dataset resources, literature resources, protocol
resources, and software resources. Each of the above four types of
resources share a common set of information, but also have
information that is unique to that particular resource type. Each
resource type uses the eml-resource module to document the
information common to all resources, but then extend
eml-resource with modules that are specific to that particular
resource type. For instance, all resources have creators,
titles, and perhaps keywords, but only the dataset resource would
have a "data table" within it. Likewise, a literature
resource may have an "ISBN" number associated with it,
whereas the other resource types would not.
The eml-resource module is exclusively used by other modules, and is
therefore not a stand-alone module.
Top-level resources
The following four modules are used to describe separate resources:
datasets, literature, software, and protocols. However, note that
the dataset module makes use of the other top-level modules by
importing them at different levels. For instance, a dataset may
have been produced using a particular protocol, and that protocol
may come from a protocol document in a library of protocols.
Likewise, citations are used throughout the top-level resource
modules by importing the literature module.
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.
The eml-literature module - Citation specific
information
The eml-literature module contains information that describes
literature resources. It is intended to provide overview
information about the literature citation, including title,
abstract, keywords, and contacts. Citation types follow the
conventions laid out by
EndNote,
and there is an attempt to
represent a compatible subset of the EndNote citation types.
These citation types include: article, book, chapter, edited
book, manuscript, report, thesis, conference proceedings,
personal communication, map, generic, audio visual, and
presentation. The "generic" citation type would be
used when one of the other types will not work.
The eml-literature module, like other modules, may be
"referenced" via the <references> tag. This
allows a citation to be described once, and then used as a
reference in other locations within the EML document via its ID.
The eml-software module - Software specific
information
The eml-software module contains general information that
describes software resources. This module is intended to fully
document software that is needed in order to view a resource
(such as a dataset) or to process a dataset. The software
module is also imported into the eml-methods module in order to
document what software was used to process or perform quality
control procedures on a dataset.
The eml-software module, like other modules, may be
"referenced" via the <references> tag. This
allows a software resource to be described once, and then used
as a reference in other locations within the EML document via
its ID.
The eml-protocol module - Research protocol specific information
The EML Protocol Module is used to define
abstract, prescriptive procedures for generating or processing
data. Conceptually, a protocol is a standardized method.
Eml-protocol resembles eml-methods; however, eml-methods is
descriptive (often
written in the declarative mood: "I took five subsamples...")
whereas eml-protocol is prescriptive (often written in the
imperative mood: "Take five subsamples..."). A protocol
may have versions, whereas methods (as used in eml-methods)
should not.
Supporting Modules - Adding detail to top-level resources
The following six modules are used to qualify the resources being
described in more detail. They are used to describe access control
rules, distribution of the metadata and data themselves, parties
associated with the resource, the geographic, temporal, and
taxonomic extents of the resource, the overall research context of
the resource, and detailed methodology used for creating the
resource. Some of these modules are imported directly into the
top-level resource modules, often in many locations in order to
limit the scope of the description. For instance, the eml-coverage
module may be used for a particular column of a dataset, rather
than the entire dataset as a whole.
The eml-access module - Access control rules for resources
The eml-access module describes the level of access that is
to be allowed or denied to a resource for a particular user or
group of users, and can be described independently for metadata
and data. The eml-access
module uses a reference to a particular authentication system
to determine the set of principals (users or groups) that can be
specified in the access rules.
The special principal 'public' can be used to indicate that any
user or group has access permission, thereby making
it easier to specify that anonymous access is allowed.
There are two mechanisms for including access control
via the eml-access module:
The top-level "eml" element may have an optional
<access> element that is used to establish the
default access control for the entire EML package. If
this access element is omitted from the document, then
the package submitter should be given full access to the
package but all other users should be denied all access.
To allow the package to be publicly viewable, the EML
author must explicitly include a rule stating so. Barring
the existence of a distribution-level <access> element
(see below), access to data entities will be controlled by
the package-level <access> element in the
<eml> element.
Exceptions for particular entity-level components of the
package can be controlled at a finer grain by using an
access description in that entity's physical/distribution
tree. When access control rules are specified at this
level, they apply only to the data in the parent
distribution element, and not to the metadata. Thus, it
will control access to the content of the <inline>
element, as well as resources that are referenced by the
<online/url> and <online/connection> paths.
These exceptions to access for particular data resources
are applied after the default access rules at the
package-level have been applied, so they effectively
override the default rules when they overlap.
In previous versions of EML access rules for entity-level
distribution were contained in <additionalMetadata>
sections and referenced via the <describes> tag.
Although in theory these could have referenced any node, in
application such node-level access control is problematic.
Since the most common uses of access control rules were to
limit access to specific data entities, the access tree has
been placed there explicitly in EML 2.1.0.
Access is specified with a choice of child elements, either
<allow> or <deny>. Within these rules, values can
be assigned for each <principal> using the
<permission> element. Users given "read" permission can
view the resource; "write" allows changes to the resource
excluding changes to the access rules; "changePermission"
includes "write" plus the changing of access rules. Users
allowed "all" permissions; may do all of the above. Access to
data and metadata is affected by the order attribute of the
<access> element. It is possible for a deny rule to
override an allow rule, and vice versa. In the case where the
order attribute is set to "allowFirst", and there are rules
similar to the following (with non-critical sections deleted):
<deny>
<principal>public</principal>
<permission>read</permission>
</deny>
<allow>
<principal>uid=alice,o=NASA,dc=ecoinformatics,dc=org</principal>
<permission>read</permission>
</allow>
the principal "uid=alice ..." will be denied access,
because it is a member of the special "public"
principal, and the deny rule is processed second. For this
allow rule to truly allow access to that principal, the order
attribute should be set to "denyFirst", and the
allow rule will override the deny rule when it is processed
second.
An example is given below, with non-critical sections deleted:
<eml>
<access
authSystem="ldap://ldap.ecoinformatics.org:389/dc=ecoinformatics,dc=org"
order="allowFirst">
<allow>
<principal>uid=alice,o=NASA,dc=ecoinformatics,dc=org</principal>
<permission>read</permission>
<permission>write</permission>
<allow>
</access>
<dataset>
...
...
<dataTable id="entity123">
...
<physical>
...
<distribution>
...
<access id="access123"
authSystem="ldap://ldap.ecoinformatics.org:389/dc=ecoinformatics,dc=org"
order="allowFirst">
<deny>
<principal>uid=alice,o=NASA,dc=ecoinformatics,dc=org</principal>
<permission>write</permission>
</deny>
</access>
</distribution>
</physical>
</dataTable>
<dataTable id="entity234">
...
<physical>
...
<distribution>
...
<access>
<references>access123</references>
</access>
</distribution>
</physical>
</dataTable>
...
</dataset>
<eml>
In this example, the overall default access is to allow the
user=alice (but no one else) to read and write all metadata
and data. However, under "entity123" and
"entity234", there is an additional rule saying
that user=alice does not have write permission. The net
effect is that Alice can read and make changes to the
metadata, but cannot make changes to the two data entities.
In addition, Alice cannot change these access rules; although
the submitter can.
This example also shows how the eml-access module, like other modules,
may be "referenced" via the <references> tag. This
allows an access control document to be described once, and then
used as a reference in other locations within the EML document
via its ID.
In summary, access rules can be applied in two places in an
eml document. Default access rules are established
in the top <access> element for the main eml document (e.g.,
"/eml/access"). These default rules can be overridden
for particular data entities by adding additional <access>
elements in the physical/distribution trees of those entities.
The eml-physical module - Physical file format
The eml-physical module describes the external
and internal physical characteristics of a data object as well as the
information required for its distribution. Examples of the external
physical characteristics of a data object would be the filename,
size, compression, encoding methods, and authentication of a file
or byte stream. Internal physical characteristics describe the
format of the data object being described. Both named binary or
otherwise proprietary formats can be cited (e.g., Microsoft Access
2000), or text formats can be precisely described (e.g., ASCII text
delimited with commas). For these text formats, it also includes the
information needed to parse the data object to extract the entity
and its attributes from the data object. Distribution information
describes how to retrieve the data object. The retrieval information
can be either online (e.g., a URL or other connection information)
or offline (e.g., a data object residing on an archival tape).
The eml-physical module, like other modules, may be
"referenced" via the <references> tag. This
allows a physical document to be described once, and then
used as a reference in other locations within the EML document
via its ID.
The eml-party module - People and organization information
The eml-party module describes a responsible party
and is typically used to name the creator of a
resource or metadata document. A responsible party may be
an individual person, an organization or a named position within
an organization. The eml-party module contains detailed contact
information. It is used throughout the other EML modules where
detailed contact information is needed.
The eml-party module, like other modules, may be
"referenced" via the <references> tag. This allows
a party to be described once, and then used as a reference in
other locations within the EML document via its ID.
The eml-coverage module - Geographic, temporal, and taxonomic extents
of resources
The eml-coverage module contains fields for describing the coverage
of a resource in terms of time, space, and taxonomy. These
coverages (temporal, spatial, and taxonomic) represent the extent
of applicability of the resource in those domains.
The Geographic coverage section allows for 2 means of expressing
coverage
on the surface of the earth: 1) via a set of bounding coordinates
that define the North, South, East and West points in a rectangular
area, optionally including a bounding altitude,
and 2) using a G-Ring polygon definition, where an irregularly
shaped area may be defined using a ordered list of
latitude/longitude coordinates. A G-Ring may also include an
"inner G-Ring" that defines one or more
"cut-outs" in the area, i.e. the donut hole concept.
The temporal coverage section allows for the definition of either a
single date or time, or a range of dates or times. These may be
expressed as a calendar date according to the ISO 8601 Date and Time
Specification, or by using an alternate time scale, such as the
geologic time scale. Currently, EML does not have specific fields to indicate
that a data resource may be "ongoing." Two examples are data tables
that are planned to be appended in the future, or resources
with complex connection definitions (such as to a database) which may return
data in real time. It is important that EML be
able to handle data from both the "producer" and "consumer" points of view,
although currently the temporal coverage modules are designed for the latter.
There is no universally acceptable recommendation for describing "ongoing" data
within EML. Some groups have chosen to use the <alternateTimeScale>
node for the end date, with a value of "ongoing," although this practice
is not endorsed by the EML authors. A better solution could be to use very
general content for the endDate (such as only the current year) so that the
data are accurately described, and searches return datasets as expected.
A future version of EML will
accommodate such data types with coverage elements specific to their needs.
The taxonomic coverage section allows for detailed description of
the taxonomic extent of the dataset or resource. The taxonomic
classification consists of a recursive set of taxon rank names,
their values, and their common names. This construct allows for a
taxonomic hierarchy to be built to show the level of identification
(e.g. Rank Name = Kingdom, Rank Value = Animalia, Common Name =
Animals, and so on down the hierarchy.) The taxonomic coverage
module also allows for the definition of the classification system
in cases where alternative systems are used.
The eml-coverage module, like other modules, may be
"referenced" via the <references> tag. This allows
the coverage extent to be described once, and then used as a
reference in other locations within the EML document via its ID.
The eml-project module - Research context information for
resourcesThe eml-project module describes the research context in
which the dataset was created, including descriptions of over-all
motivations and goals, funding, personnel, description of the study
area etc. This is also the module to describe the design of the
project: the scientific questions being asked, the architecture of
the design, etc. This module is used to place the dataset that is
being documented into its larger research context.The eml-project module, like other modules, may be
"referenced" via the <references> tag. This allows a research
project to be described once, and then used as a reference in other
locations within the EML document via its ID.
The eml-methods module - Methodological information for resources
The eml-methods module describes the methods
followed in the creation of the dataset, including description of
field, laboratory and processing steps, sampling methods and units,
quality control procedures. The eml-methods module is used
to describe the actual
procedures that are used in the creation or the subsequent
processing of a dataset. Likewise, eml-methods is used to describe
processes that have been used to define / improve the quality of a
data file, or to identify potential problems with the data file.
Note that the eml-protocol module is intended to be used to document
a prescribed procedure, whereas the eml-method
module is used to describe procedures that were actually
performed. The distinction is that the use of the term
"protocol" is used in the "prescriptive" sense,
and the term "method" is used in the
"descriptive" sense. This distinction allows managers to
build a protocol library of well-known, established protocols
(procedures), but also document what procedure was truly performed
in relation to the established protocol. The method may have
diverged from the protocol purposefully, or perhaps incidentally,
but the procedural lineage is still preserved and understandable.
Data organization - Modules describing dataset structures
The following three modules are used to document the logical layout
of a dataset. Many datasets are comprised of multiple entities
(e.g. a series of tabular data files, or a set of GIS features, or a
number of tables in a relational database). Each entity within a
dataset may contain one or more attributes (e.g. multiple columns in
a data file, multiple attributes of a GIS feature, or multiple
columns of a database table). Lastly, there may be both simple or
complex relationships among the entities within a dataset. The
relationships, or the constraints that are to be enforced in the
dataset, are described using the eml-constraint module. All
entities share a common set of information (described using
eml-entity), but some discipline specific entities have
characteristics that are unique to that entity type. Therefore, the
eml-entity module is extended for each of these types (dataTable,
spatialRaster, spatialVector, etc...) which are described
in the next section.
The eml-entity module - Entity level information within datasets
The eml-entity module defines the logical characteristics of
each entity in the dataset. Entities are usually tables of
data (eml-dataTable). Data tables may be ascii text files,
relational database tables, spreadsheets or other type of
tabular data with a fixed logical structure. Related to data
tables are views (eml-view) and stored
procedures (eml-storedProcedure). Views and stored procedures
are produced by an RDBMS or related system. Other types of data
such as: raster (eml-spatialRaster), vector (eml-spatialVector) or
spatialReference image data are also data entities. An
otherEntity element would be used to describe types of entities
that are not described by any other entity type.
The eml-entity module, like other modules, may be
"referenced" via the <references> tag. This
allows an entity document to be described once, and then
used as a reference in other locations within the EML document
via its ID.
The eml-attribute module - Attribute level information within
dataset entities
The eml-attribute module describes all attributes (variables)
in a data entity: dataTable, spatialRaster, spatialVector,
storedProcedure, view or otherEntity. The description includes the
name and definition of each attribute, its domain, definitions of
coded values, and other pertinent information. Two structures exist
in this module: 1. attribute is used to define a single attribute;
2. attributeList is used to define a list of attributes that go
together in some logical way.
The eml-attribute module, like other modules, may be
"referenced" via the <references> tag. This
allows an attribute document to be described once, and then
used as a reference in other locations within the EML document
via its ID.
Philosophy of Attribute UnitsThe concept of "unit" represents one of the most fundamental
categories of metadata. The classic example of data entropy is the
case in which a reported numeric value loses meaning due to lack of
associated units. Much of Ecology is driven by measurement, and
most measurements are inherently comparative. Good data description
requires a representation of the basis for comparison, i.e., the
unit. In modeling the attribute element, the authors of EML drew
inspiration from the
NIST Reference on Constants, Units, and Uncertainty.
This document defines a unit as "a particular physical quantity,
defined and adopted by convention, with which other particular
quantities of the same kind are compared to express their value."
The authors of the EML 2.0 specification (hereafter "the authors")
decided to make the unit element required, wherever
possible.Units may also be one of the most problematic categories of
metadata. For instance, there are many candidate attributes that
clearly have no units, such as named places and letter grades.
There are other candidate attributes for which units are difficult
to identify, despite some suspicion that they should exist (e.g.
pH, dates, times). In still other cases, units may be meaningful,
but apparently absent due to dimensional analysis (e.g. grams of
carbon per gram of soil). The relationship between units and
dimensions likewise is not completely clear.The authors decided to sharpen the model of attribute by
nesting unit under measurementScale. Measurement Scale is a data
typology, borrowed from Statistics, that was introduced in the
1940's. Under the adopted model, attributes are classified as
nominal, ordinal, interval, and ratio. Though widely criticized,
this classification is well-known and provides at least first-order
utility in EML. For example, nesting unit under measurementScale
allows EML to prevent its meaningless inclusion for categorical
data -- an approach judged superior to making unit universally
required or universally optional.The sharpening of the attribute model allowed the elimination
of the unit type "undefined" from the standard unit dictionary (see
eml-unitDictionary.xml). It seemed self-defeating to require the
unit element exactly where appropriate, yet still allow its content
to be undefined. An attribute that requires a unit definition is
malformed until one is provided. The unit type "dimensionless" is
preserved, however. In EML 2.0, it is synonymous with "unitless"
and represents the case in which units cannot be associated with an
attribute for some reason, despite the proper classification of
that attribute as interval or ratio. Dimensionless may itself be an
anomaly arising from the limitations of the adopted measurement
scale typology.Closely related to the concept of unit is the concept of
attribute domain. The authors decided that a well-formed
description of an attribute must include some indication of the set
of possible values for that attribute. The set of possible values
is useful, perhaps necessary, for interpreting any particular
observed value. While universally required, attribute domain has
different forms, depending on the associated measurement
scale.The element storageType has an obvious relationship to
domain. It gives some indication of the range of possible values of
an attribute, and also gives some (potentially critical)
operability information about the way the attribute is represented
or construed in the local storage system. The storageType element
seems to fall in a gray area between the logical and physical
aspects of stored data. Neither comfortable with eliminating it nor
with making it required, the authors left it available but optional
under attribute. In addition, it is repeatable so that different
storage types can be provided for various systems (e.g., different
databases might use different types for columns, even though the
domain of the attribute is the same regardless of which database
is used).Attributes representing dates, times, or combinations thereof
(hereafter "dateTime") were the most difficult to model in EML. Is
dateTime of type interval or ordinal? Does it have units or not?
Strong cases can be made on each side of the issue. The confusion
may reflect the limitations of the measurement scale typology. The
final resolution of the dateTime model is probably somewhat
arbitrary. There was clearly a need, however, to allow for the
interoperability of dateTime formats. EML 2.0 tries to provide an
unambiguous mechanism for describing the format of dateTime
values by providing a separate category for date and time values. This
"dateTime" measurement scale allows users to explicitly label
attributes that contain Gregorian date and time values, and allows
them to provide the information needed to parse these values into
their appropriate components (e.g., days, months, years)./
The eml-constraint module - Relationships among and within
dataset entities
The eml-constraint schema defines the integrity constraints
between entities (e.g., data tables) as they would be maintained in
a relational management system. These constraints include primary
key constraints, foreign key constraints, unique key constraints,
check constraints, and not null constraints, among potential others.
Entity types - Detailed information for discipline specific entities
The following six modules are used to describe a number of common
types of entities found in datasets. Each entity type uses the
eml-entity module elements as it's base set of elements, but then
extends the base with entity-specific elements. Note that the
eml-spatialReference module is not an entity type, but is rather a
common set of elements used to describe spatial reference systems
in both eml-spatialRaster and eml-spatialVector. It is described
here in relation to those two modules.
The eml-dataTable module - Logical information
about data table entities
The eml-dataTable module is used to describe the logical
characteristics of each tabular set of information in a dataset. A
series of comma-separated text files may be considered a dataset,
and each file would subsequently be considered a dataTable entity
within the dataset. Since the eml-dataTable module extends the
eml-entity module, it uses all of the common entity elements to
describe the table, along with a few elements specific to just data
table entities. The eml-dataTable module allows for the
description of each attribute (column/field/variable) within the
data table through the use of the eml-attribute module. Likewise,
there are fields used to describe the physical distribution of the
data table, its overall coverage, the methodology used in creating
the data, and other logical structure information such as its
orientation, case sensitivity, etc.
The eml-spatialRaster module - Logical information about
regularly gridded geospatial image data
The eml-spatialRaster module allows for the description of
entities composed of rectangular grids of data values that are
usually georeferenced to a portion of the earth's surface.
Specific attributes of a spatial raster can be documented
here including the spatial organization of the raster cells,
the cell data values, and if derived via imaging sensors,
characteristics about the image and its individual bands.
The eml-spatialVector module - Logical information about
non-gridded geospatial image data
The eml-spatialVector module allows for the description of
spatial objects in a GIS system that are not defined in a
regularly gridded pattern. These geometries include points and
vectors and the relationships among them. Specific attributes of
a spatial vector can be documented here including the vector's
geometry type, count and topology level.
Schema for validating spatial referencing descriptions.
This module defines both projected and unprojected coordinate systems for
referencing the spatial coordinates of a dataset to the earth. The schema is based on
that used by Environmental Systems Research Inc (ESRI) for its .prj file format. EML provides a library of
pre-defined coordinate systems that may be referred to by name in the horizCoordSysName element. A
custom projection may be defined using this schema for any projection that does not appear in this
dictionary.
The eml-storedProcedure module - Data tables
resulting from procedures stored in a database
The storedProcedure module is meant to capture information on
procedures that produce data output in the form of a data table.
In an RDBMS one can code complex queries and transactions into
stored procedures and then invoke them directly from front-end
applications. It allows the optional description of any parameters
that are expected to be passed to the procedure when it is called.
The eml-view module - Data tables resulting from a
database query
The eml-view module describes a view from a database management system.
A view is a query statement that is stored as a database object and
executed each time the view is called.
Utility modules - Metadata documentation enhancements
The following modules are used to highlight the information being
documented in each of the above modules where prose may be needed to
convey the critical metadata. The eml-text module provides a number
of text-based constructs to enhance a document (including sections,
paragraphs, lists, subscript, superscript, emphasis, etc.)
The eml-text module - Text field formatting
The eml-text module is a wrapper container that allows general
text descriptions to be used within the various modules of eml.
It can include either structured or unstructured text blocks.
It isn't really appropriate to use this module outside of the
context of a parent module, because the parent module determines
the appropriate context to which this text description applies.
The eml-text module allows one to provide structure to a text
description in order to convey concepts such as sections
(paragraphs), hierarchy (ordered and unordered lists), emphasis
(bold, superscript, subscript) etc. The structured elements
are a subset of DocBook
so the predefined DocBook stylesheets can be used to style
EML fields that implement this module.
Dependency Chart
The multiple modules in EML all depend on each other in complex
ways. To easily see these dependencies see the
EML Dependency Chart.
Internationalization - Metadata in multiple languages
EML supports internationalization using the i18nNonEmptyStringType.
Fields defined as this type include:
TitleKeywordContact information (e.g. names, organizations, addresses)
TextType fields also support language translations. These fields include:
AbstractMethodsProtocolInternationalization techniques
Core metadata should be provided in English.
The core elements can be augmented with translations in a native language.
Detailed metadata can be provided in the native language as declared using the xml:lang attribute.
Authors can opt to include English translations of this detailed metadata as they see fit.
The following example metadata document is provided primarily in Portuguese but includes English translations
of core metadata fields.
The xml:lang="pt_BR" attribute at the root of the EML document indicates that, unless otherwise specified,
the content of the document is supplied in Portuguese (Brazil).
The xml:lang="en_US" attributes on child elements denote that the content of that element is provided in English.
Core metadata (i.e. title) is provided in English, supplemented with a Portuguese translation using the
value tag with an xml:lang attribute. Note that child elements can override the
root language declaration of the document as well as the language declaration of their containing elements.
The abstract element is primarily given in Portuguese (as inherited from the root language declaration),
with an English translation.
Many EML fields are repeatable (i.e. keyword) so that multiple values can be provided for the same concept.
Translations for these fields should be included as nested value tags to indicate that they are equivalent concepts
expressed in different languages rather than entirely different concepts.
<?xml version="1.0"?>
<eml:eml
packageId="eml.1.1" system="knb"
xml:lang="pt_BR"
xmlns:eml="eml://ecoinformatics.org/eml-2.1.1"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="eml://ecoinformatics.org/eml-2.1.1 eml.xsd">
<dataset id="ds.1">
<!-- English title with Portuguese translation -->
<title xml:lang=""en_US">
Sample Dataset Description
<value xml:lang="pt_BR">Exemplo Descrição Dataset</value>
</title>
...
<!-- Portuguese abstract with English translation -->
<abstract>
<para>
Neste exemplo, a tradução em Inglês é secundário
<value xml:lang="en_US">In this example, the English translation is secondary</value>
<para>
</abstract>
...
<!-- two keywords, each with an equivalent translation -->
<keywordSet>
<keyword keywordType="theme">
árvore
<value xml:lang="en_US">tree</value>
<keyword>
<keyword keywordType="theme">
água
<value xml:lang="en_US">water</value>
<keyword>
</keywordSet>
...
</dataset>
</eml:eml>
Technical Architecture (Normative)Introduction
This section explains the rules of EML. There are some rules that cannot
be written directly into the XML Schemas nor enforced by an XML parser.
These are guidelines that every EML package must follow in order for
it to be considered EML compliant.
Module Structure
Each EML module, with the exception of "eml" itself, has a top level
choice between the structured content of that modules or a
"references" field. This enables the reuse of content
previously defined elsewhere in the document. Methods for defining
and referencing content are described in the
next section
Reusable Content
EML allows the reuse of previously defined structured content (DOM
sub-trees) through the use of key/keyRef type references. In order
for an EML package to remain cohesive and to allow for the cross
platform compatibility of packages, the following rules with respect
to packaging must be followed.
An ID is required on the eml root element.
IDs are optional on all other elements.
If an ID is not provided, that content must be interpreted as
representing a distinct object.
If an ID is provided for content then that content is distinct from
all other content except for that content that references its ID.
If a user wants to reuse content to indicate the repetition of an
object, a reference must be used. Two identical ids with the same system
attribute cannot exist in a single document.
"Document" scope is defined as identifiers unique only to a
single instance document (if a document does not have a system
attribute or if scope is set to 'document' then all IDs are defined
as distinct content).
"System" scope is defined as identifiers unique to an entire data
management system (if two documents share a system string, then
any IDs in those two documents that are identical refer to the
same object).
If an element references another element, it must not have an
ID itself. The system attribute must have the same value in both the
target and referencing elements or it must be absent in both.
All EML packages must have the 'eml' module as the root.
The system and scope attribute are always optional except for at the
'eml' module where the scope attribute is fixed as 'system'. The scope
attribute defaults to 'document' for all other modules.
EML Parser
Because some of these rules cannot be enforced in XML-Schema, we have
written a parser which checks the validity of the references and IDs
used in your document. This parser is included with the 2.1.0 release
of EML. To run the parser, you must have Java 1.3.1 or higher. To
execute it change into the lib directory of the release and run
the 'runEMLParser' script passing your EML instance file as a
parameter. There is also an online
version of this parser which is publicly accessible. The online
parser will both validate your XML document against the schema as
well as check the integrity of your references.
ID and Scope ExamplesExample DocumentsInvalid EML due to duplicate identifiers
<?xml version="1.0"?>
<eml:eml
packageId="eml.1.1" system="knb"
xmlns:eml="eml://ecoinformatics.org/eml-2.1.1"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="eml://ecoinformatics.org/eml-2.1.1 eml.xsd">
<dataset id="ds.1">
<title>Sample Dataset Description</title>
<!-- the two creators have the same id. this should be an error-->
<creator id="23445" scope="document">
<individualName>
<surName>Smith</surName>
</individualName>
</creator>
<creator id="23445" scope="document">
<individualName>
<surName>Myer</surName>
</individualName>
</creator>
...
</dataset>
</eml:eml>
This instance document is invalid because both creator
elements have the same id. No two elements can have the
same string as an id.Invalid EML due to a non-existent reference
<?xml version="1.0"?>
<eml:eml
packageId="eml.1.1" system="knb"
xmlns:eml="eml://ecoinformatics.org/eml-2.1.1"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="eml://ecoinformatics.org/eml-2.1.1 eml.xsd">
<dataset id="ds.1">
<title>Sample Dataset Description</title>
<creator id="23445" scope="document">
<individualName>
<surName>Smith</surName>
</individualName>
</creator>
<creator id="23446" scope="document">
<individualName>
<surName>Myer</surName>
</individualName>
</creator>
...
<contact>
<references>23447</references>
</contact>
</dataset>
</eml:eml>
This instance document is invalid because the contact
element references an id that does not exist. Any referenced
id must exist.Invalid EML due to a conflicting id attribute and a
<references> element
<?xml version="1.0"?>
<eml:eml
packageId="eml.1.1" system="knb"
xmlns:eml="eml://ecoinformatics.org/eml-2.1.1"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="eml://ecoinformatics.org/eml-2.1.1 eml.xsd">
<dataset id="ds.1">
<title>Sample Dataset Description</title>
<creator id="23445" scope="document">
<individualName>
<surName>Smith</surName>
</individualName>
</creator>
<creator id="23446" scope="document">
<individualName>
<surName>Meyer</surName>
</individualName>
</creator>
...
<contact id="522">
<references>23445</references>
</contact>
</dataset>
</eml:eml>
This instance document is invalid because the contact
element both references another element and has an id itself.
If an element references another element, it may not have
an id. This prevents circular references.A valid EML document
<?xml version="1.0"?>
<eml:eml
packageId="eml.1.1" system="knb"
xmlns:eml="eml://ecoinformatics.org/eml-2.1.1"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="eml://ecoinformatics.org/eml-2.1.1 eml.xsd">
<dataset id="ds.1">
<title>Sample Dataset Description</title>
<creator id="23445" scope="document">
<individualName>
<surName>Smith</surName>
</individualName>
</creator>
<creator id="23446" scope="document">
<individualName>
<surName>Smith</surName>
</individualName>
</creator>
...
<contact>
<references>23446</references>
</contact>
<contact>
<references>23445</references>
</contact>
</dataset>
</eml:eml>
This instance document is valid. Each contact is
referencing one of the creators above and all the ids are
unique.Module Descriptions (Normative)emlNormative technical docs for
emleml-accessNormative technical docs for
eml-accesseml-attributeNormative technical docs for
eml-attributeeml-constraintNormative technical docs for
eml-constrainteml-coverageNormative technical docs for
eml-coverageeml-datasetNormative technical docs for
eml-dataseteml-dataTableNormative technical docs for
eml-dataTableeml-entityNormative technical docs for
eml-entityeml-literatureNormative technical docs for
eml-literatureeml-methodsNormative technical docs for
eml-methodseml-partyNormative technical docs for
eml-partyeml-physicalNormative technical docs for
eml-physicaleml-projectNormative technical docs for
eml-projecteml-protocolNormative technical docs for
eml-protocoleml-resourceNormative technical docs for
eml-resourceeml-softwareNormative technical docs for
eml-softwareeml-spatialRasterNormative technical docs for
eml-spatialRastereml-spatialReferenceNormative technical docs for
eml-spatialReferenceeml-spatialVectorNormative technical docs for
eml-spatialVectoreml-storedProcedureNormative technical docs for
eml-storedProcedureeml-textNormative technical docs for
eml-texteml-unitTypeDefinitionsNormative technical docs for
eml-unitTypeDefinitionseml-viewNormative technical docs for
eml-viewIndexAaccess-emladditionalMetadata-emlaccess-eml-accessallow-eml-accessaccuracy-eml-attributeattribute-eml-attributeattribute-eml-attributeattributeAccuracyExplanation-eml-attributeattributeAccuracyReport-eml-attributeattributeAccuracyValue-eml-attributeattributeDefinition-eml-attributeattributeLabel-eml-attributeattributeList-eml-attributeattributeName-eml-attributeattributeReference-eml-constraintattributeReference-eml-constraintattributeReference-eml-constraintattributeReference-eml-constraintattributeReference-eml-constraintalternativeTimeScale-eml-coveragealtitudeMaximum-eml-coveragealtitudeMinimum-eml-coveragealtitudeUnits-eml-coverageattributeList-eml-dataTableadditionalInfo-eml-entityalternateIdentifier-eml-entityattributeList-eml-entityarticle-eml-literatureaudioVisual-eml-literatureaddress-eml-partyadministrativeArea-eml-partyaccess-eml-physicalattributeOrientation-eml-physicalauthentication-eml-physicalabstract-eml-projectabstract-eml-resourceadditionalInfo-eml-resourcealternateIdentifier-eml-resourceassociatedParty-eml-resourceaction-eml-softwareaccuracyReport-eml-spatialRasterattributeList-eml-spatialRasteraltitudeDatumName-eml-spatialReferencealtitudeDistanceUnits-eml-spatialReferencealtitudeEncodingMethod-eml-spatialReferencealtitudeResolution-eml-spatialReferencealtitudeSysDef-eml-spatialReferenceaccuracyReport-eml-spatialVectorattributeList-eml-spatialVectorattributeList-eml-storedProcedureattributeList-eml-viewBbounds-eml-attributebounds-eml-attributebeginDate-eml-coverageboundingCoordinates-eml-coverageboundingAltitudes-eml-coveragebook-eml-literaturebookTitle-eml-literaturebinaryRasterFormat-eml-physicalbyteorder-eml-physicalbandrowbytes-eml-physicalbandgapbytes-eml-physicalbilinearFit-eml-spatialRasterbandDescription-eml-spatialRasterCcitation-emlcode-eml-attributecodeExplanation-eml-attributecoverage-eml-attributecustomUnit-eml-attributecodeDefinition-eml-attributecode-eml-attributecodesetName-eml-attributecitation-eml-attributecodesetURL-eml-attributecheckConstraint-eml-constraintcheckCondition-eml-constraintconstraintName-eml-constraintconstraintDescription-eml-constraintcardinality-eml-constraintchildOccurences-eml-constraintcalendarDate-eml-coverageclassificationSystem-eml-coverageclassificationSystemCitation-eml-coverageclassificationSystemModifications-eml-coveragecommonName-eml-coveragecontact-eml-datasetchangeHistory-eml-datasetchangeScope-eml-datasetchangeDate-eml-datasetcomment-eml-datasetconstraint-eml-dataTablecaseSensitive-eml-dataTableconstraint-eml-entitycoverage-eml-entitycitation-eml-literaturecontact-eml-literaturechapter-eml-literatureconferenceProceedings-eml-literaturechapterNumber-eml-literatureconferenceName-eml-literatureconferenceDate-eml-literatureconferenceLocation-eml-literaturecommunicationType-eml-literatureconferenceName-eml-literatureconferenceDate-eml-literatureconferenceLocation-eml-literaturecoverage-eml-methodscoverage-eml-methodscitation-eml-methodscitation-eml-methodscity-eml-partycountry-eml-partycompressionMethod-eml-physicalcharacterEncoding-eml-physicalcollapseDelimiters-eml-physicalcomplex-eml-physicalcollapseDelimiters-eml-physicalcitation-eml-physicalconnection-eml-physicalcitation-eml-projectcitation-eml-projectcoverage-eml-projectcitation-eml-projectcreator-eml-resourcecoverage-eml-resourceconnection-eml-resourceconnectionDefinition-eml-resourceconnectionDefinition-eml-resourcechecksum-eml-softwareconstraint-eml-spatialRastercornerPoint-eml-spatialRastercorner-eml-spatialRastercontrolPoint-eml-spatialRastercolumn-eml-spatialRastercellSizeXDirection-eml-spatialRastercellSizeYDirection-eml-spatialRastercolumns-eml-spatialRastercellGeometry-eml-spatialRastercloudCoverPercentage-eml-spatialRastercompressionGenerationQuality-eml-spatialRastercameraCalibrationInformationAvailability-eml-spatialRasterconstraint-eml-spatialVectorconstraint-eml-storedProcedurecitetitle-eml-textconstraint-eml-viewDdataset-emldescribes-emldeny-eml-accessdateTime-eml-attributedateTimePrecision-eml-attributedateTimeDomain-eml-attributedefinition-eml-attributedefinitionAttributeReference-eml-attributedefinition-eml-attributedatasetGPolygon-eml-coveragedatasetGPolygonOuterGRing-eml-coveragedatasetGPolygonExclusionGRing-eml-coveragedataset-eml-datasetdataTable-eml-datasetdescription-eml-datasetdataTable-eml-dataTabledegree-eml-literaturedataSource-eml-methodsdescription-eml-methodsdescription-eml-methodsdeliveryPoint-eml-partydataFormat-eml-physicaldistribution-eml-physicaldescriptor-eml-projectdescriptorValue-eml-projectdesignDescription-eml-projectdescription-eml-projectdistribution-eml-resourcedescription-eml-resourcedefinition-eml-resourcedefaultValue-eml-resourcedistribution-eml-softwarediskUsage-eml-softwaredependency-eml-softwaredepthSysDef-eml-spatialReferencedepthDatumName-eml-spatialReferencedepthResolution-eml-spatialReferencedepthDistanceUnits-eml-spatialReferencedepthEncodingMethod-eml-spatialReferencedatum-eml-spatialReferencedomainDescription-eml-st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-eml-methodspositionName-eml-partyphone-eml-partypostalCode-eml-partyparty-eml-partyphysical-eml-physicalphysicalLineDelimiter-eml-physicalpersonnel-eml-projectproceduralStep-eml-protocolprotocol-eml-protocolpubDate-eml-resourceparameterDefinition-eml-resourceparameter-eml-resourceprogrammingLanguage-eml-softwareproject-eml-softwarepointInPixel-eml-spatialRasterpointInPixel-eml-spatialRasterpreProcessingTypeCode-eml-spatialRasterpeakResponse-eml-spatialRasterprimeMeridian-eml-spatialReferenceprojCoordSys-eml-spatialReferenceprojection-eml-spatialReferenceparameter-eml-spatialReferenceprojectionList-eml-spatialReferenceparameter-eml-storedProcedurepara-eml-textpara-eml-textpara-eml-textQquantitativeAttributeAccuracyAssessment-eml-attributequalityControl-eml-methodsquoteCharacter-eml-physicalquoteCharacter-eml-physicalquantitativeAccuracyReport-eml-spatialRasterquantitativeAccuracyValue-eml-spatialRasterquantitativeAccuracyMethod-eml-spatialRasterquantitativeAccuracyReport-eml-spatialVectorquantitativeAccuracyValue-eml-spatialVectorquantitativeAccuracyMethod-eml-spatialVectorqueryStatement-eml-viewratio-eml-attributereferencedKey-eml-constraintrelationshipType-eml-constraintrangeOfDates-eml-coveragerepository-eml-coveragereport-eml-literaturereportNumber-eml-literaturerecipient-eml-literaturereferenceType-eml-literaturereprintEdition-eml-literaturereviewedItem-eml-literaturereferencedEntityId-eml-methodsrecordDelimiter-eml-physicalrowColumnOrientation-eml-physicalresearchProject-eml-projectrole-eml-projectrelatedProject-eml-projectrole-eml-resourcereferences-eml-resourceruntimeMemoryUsage-eml-softwarerow-eml-spatialRasterrasterOrigin-eml-spatialRasterrows-eml-spatialRasterradiometricDataAvailability-eml-spatialRasterrequired-eml-storedProcedurerepeats-eml-storedProcedureSsoftware-emlstorageType-eml-attributestandardUnit-eml-attributesource-eml-attributesource-eml-attributesingleDateTime-eml-coveragesouthBoundingCoordinate-eml-coveragespecimen-eml-coveragespatialRaster-eml-datasetspatialVector-eml-datasetstoredProcedure-eml-datasetscale-eml-literaturesampling-eml-methodsstudyExtent-eml-methodssamplingDescription-eml-methodsspatialSamplingUnits-eml-methodssoftware-eml-methodssubStep-eml-methodssalutation-eml-partysurName-eml-partysize-eml-physicalsimpleDelimited-eml-physicalskipbytes-eml-physicalstudyAreaDescription-eml-projectshortName-eml-resourceseries-eml-resourceschemeName-eml-resourcesoftware-eml-softwaresize-eml-softwarespatialRaster-eml-spatialRasterspatialReference-eml-spatialRasterscaleFactor-eml-spatialRastersequenceIdentifier-eml-spatialRasterspheroid-eml-spatialReferencespatialReference-eml-spatialReferencespatialVector-eml-spatialVectorspatialReference-eml-spatialVectorstoredProcedure-eml-storedProceduresection-eml-textsubscript-eml-textsuperscript-eml-textsection-eml-textsubscript-eml-textsuperscript-eml-textTtextDomain-eml-attributetemporalCoverage-eml-coveragetaxonomicCoverage-eml-coveragetime-eml-coveragetimeScaleName-eml-coveragetimeScaleAgeEstimate-eml-coveragetimeScaleAgeUncertainty-eml-coveragetimeScaleAgeExplanation-eml-coveragetimeScaleCitation-eml-coveragetaxonomicSystem-eml-coveragetaxonomicProcedures-eml-coveragetaxonomicCompleteness-eml-coveragetaxonomicClassification-eml-coveragetaxonRankName-eml-coveragetaxonRankValue-eml-coveragetaxonomicClassification-eml-coveragethesis-eml-literaturetotalPages-eml-literaturetotalFigures-eml-literaturetotalTables-eml-literaturetotalPages-eml-literaturetotalPages-eml-literaturetotalPages-eml-literaturetotalFigures-eml-literaturetotalTables-eml-literaturetotalPages-eml-literaturetextFormat-eml-physicaltextFixed-eml-physicaltextDelimited-eml-physicaltotalrowbytes-eml-physicaltitle-eml-projecttitle-eml-resourcetoneGradation-eml-spatialRastertriangulationIndicator-eml-spatialRastertopologyLevel-eml-spatialVectortext-eml-texttitle-eml-textUunit-eml-attributeunit-eml-attributeuniqueKey-eml-constraintuserId-eml-partyurl-eml-physicalurl-eml-resourceunit-eml-spatialReferenceunit-eml-spatialReferenceulink-eml-textVvalueAttributeReference-eml-attributevouchers-eml-coverageview-eml-datasetvolume-eml-literaturevolume-eml-literaturevolume-eml-literaturevalue-eml-resourcevalue-eml-resourcevirtualMachine-eml-softwareversion-eml-softwareverticalAccuracy-eml-spatialRasterverticals-eml-spatialRastervertCoordSys-eml-spatialReferenceverticalAccuracy-eml-spatialVectorvalue-eml-textvalue-eml-textvalue-eml-textvalue-eml-textview-eml-viewWwestBoundingCoordinate-eml-coveragewaveLengthUnits-eml-spatialRasterXxCoordinate-eml-spatialRasterxCoordinate-eml-spatialRasterxIntercept-eml-spatialRasterxSlope-eml-spatialRasterYyCoordinate-eml-spatialRasteryCoordinate-eml-spatialRasteryIntercept-eml-spatialRasterySlope-eml-spatialRasterZ