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Message #28231
[Branch ~dhis2-documenters/dhis2/dhis2-docbook-docs] Rev 971: Typos.
------------------------------------------------------------
revno: 971
committer: Jason P. Pickering <jason.p.pickering@xxxxxxxxx>
branch nick: dhis2-docbook-docs
timestamp: Thu 2014-02-20 13:27:06 +0200
message:
Typos.
modified:
src/docbkx/en/dhis2_user_man_data_elements.xml
--
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=== modified file 'src/docbkx/en/dhis2_user_man_data_elements.xml'
--- src/docbkx/en/dhis2_user_man_data_elements.xml 2014-02-14 07:52:33 +0000
+++ src/docbkx/en/dhis2_user_man_data_elements.xml 2014-02-20 11:27:06 +0000
@@ -40,7 +40,7 @@
<title>Data elements</title>
<para><?inline true?>Data elements form the basis of DHIS2. Data elements define what is actually recorded in system, e.g. number of immunisations or number of cases of malaria. The actual creation and definition of the data elements themselves are far beyond the scope of this manual to describe, but it is assumed that an administrator will be provided with a list of standardised data elements for inclusion into the DHIS2 system. </para>
<para>To access the data element maintenance module, choose Maintenance -> Data elements and Indicators -> Data element. </para>
- <para>The 'Filter by name' will allow you to filter a range of data elements if you know either the full name of the data element, or just a part of it. Type the name
+ <para>The 'Filter by name' will allow you to filter a range of data elements if you know either the full name of the data element, or just a part of it. Type the name
into the search field and any matching data elements are displayed below.
The 'Sort' button can be used to sort the data elements into alphabetical order. </para>
@@ -268,8 +268,8 @@
</section>
<section>
<title>Using categories as attributes</title>
- <para>In some deployments of DHIS2, informaiton on attributes such as "Implementing partner" and "Project" are important to record as an attribute of each data value. To provide an example, let us suppose that an NGO is providing ART services in a give facility. They would need to report each month on the "ART monthly summar", which would be reported monthly and contain a number of data elements. In many situations, a given NGO may implement their activities as part of a project in a specific health facility. The NGO and project could potentially change over time. In order to be able to effectively attribute data to a given NGO and project at any point in time, this information would need to be recorded along with each data value at the time of data entry. </para>
- <para>When categories and category combinations have a type of "Attribute", they can serve as a means of applying a common set of attributes (e.g. Implementing partner and funding agency) to a related set of data values contained in a dataset. Let us suppose we create two categories called "Implementing partner" and "Funding mechanism". Each of these categories would be created with a dimension type of "Attribute". Finally, a category combination called "Implementing partners and projects" would be created with these two categories and assigned a dimension type of "Attribute". Finally, we can use this dimension to apply an attribute to the dataset "ART monthly summary", by choosing the "Implementing partners and projects" as the "Combination of categories". </para>
+ <para>In some deployments of DHIS2, information on attributes such as "Implementing partner" and "Project" are important to record as an attribute of each data value. To provide an example, let us suppose that an NGO is providing ART services in a given facility. They would need to report each month on the "ART monthly summary", which would be reported monthly and contain a number of data elements. The NGO and project could potentially change over time. In order to be able to effectively attribute data to a given NGO and project at any point in time, this information would need to be recorded along with each data value at the time of data entry. </para>
+ <para>When categories and category combinations have a type of "Attribute", they can serve as a means of applying a common set of attributes (e.g. Implementing partner and project) to a related set of data values contained in a dataset. Let us suppose we create two categories called "Implementing partner" and "Projects". Each of these categories would be created with a dimension type of "Attribute." Finally, a category combination called "Implementing partners and projects" would be created with these two categories and assigned a dimension type of "Attribute". Finally, we can use this dimension to apply an attribute to the dataset "ART monthly summary", by choosing the "Implementing partners and projects" as the "Combination of categories". </para>
<para>The following screen shot of an example data entry screen illustrates all of these concepts. </para>
<screenshot>
<mediaobject>
@@ -278,7 +278,7 @@
</imageobject>
</mediaobject>
</screenshot>
- <para>Note that when data is entered, an "Implementing partner" and "Project" can be selected. Each data value recorded in this data entry screen, would be assigned a specific combination of these categories as an attribute. In summary, when category combinations are used as attribute, they effectively serve as another dimension (similar to "Period" and "Organisationion unit") which can be used for analysis. </para>
+ <para>Note that when data is entered, an "Implementing partner" and "Project" can be selected. Each data value recorded in this data entry screen, would be assigned a specific combination of these categories as an attribute. These attributes (when specified as a dimension) can be used in the analysis modules similar to other dimensions, such as the period and orgunit. In summary, when category combinations are used as attribute, they effectively serve as another dimension (similar to "Period" and "Organisationion unit") which can be used for analysis. </para>
</section>
<section id="translation">
<title>Translations</title>
