Bravo to the deve. and community.
I am very happy for the data access right to org unit levels.....very
important......
________________________________
"Better Information, better Decisions, better Health"
Muhire Andrew
Ministry of Health / HMIS
""A mind is a terrible thing to waste""
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muhireand...@yahoo.com
On Wednesday, April 23, 2014 1:07 AM, Lars Helge Øverland <larshe...@gmail.com>
wrote:
Hi all,
DHIS version 2.15 is out. We have a great set of new features for you:
- Event reports app: We have a completely new "event reports" app for analysis
of events. This app lets you do aggregated analysis of events directly without
building aggregation queries and create pivot-style tables, where you can use
data elements as individual dimensions together with periods and org units. All
dimensions can be placed on columns, rows and filters. The app also lets you
query on events using filters on all data elements, org units or periods. It
lets you save tables as favorites and share them with others. You can also
download your favorites to many popular formats. This app replaces the old
tabular reports. You can check it out on the demo by browsing through all of
the favorites.
Documentation | Demo
- Event capture app: A new app for capture of events. This app makes it easy to
capture events efficiently, view the list of events capture so far and update
existing events. It lets you configure and select the columns to show in the
list of events. The app works offline, meaning that you can continue to enter
events even if connectivity drops during your working session.
Documentation | Demo
- Tracked entities: In tracker you can now define any number of tracked
entities, representing things you want to track. Tracked entities can be
commodities, lab samples, buildings, wells, drug batches and persons, or
anything you want. This makes the system more flexible and applicable for
tracking most stuff beyond just persons. A program is associated with one
tracked entity. We hope that you will be creative and take advantage of this
new level of abstraction. You can define tracked entities from persons and
programs > tracked entity.
Demo
- Data approval levels: You can now configure the levels for where approval of
data should take place. For instance, you can require that data must be
approved at the facility and provincial org unit hierarchy levels, omitting
approval at the district levels. An approval level requires that the data must
be approval by some user linked to the specific level for it to be considered
valid and be available in data analysis. Approval levels are configured under
settings > approval.
Documentation | Demo
- Data approval in analytics: Data approval now takes place in reports module >
data approval. Approval of data is now respected in data analytics tools such
as pivot table and visualizer, meaning that data which has not been approved
will not be part of the aggregated values displayed in reports. This implies
that data can be hidden until it has been approved by the appropriate persons.
In other words, the aggregated data in analysis apps will be based on approved
data only.
Documentation | Demo
- Data access control in org unit hierarchy: User's access to data can now be
controlled in the organisation unit hierarchy. This is done by assigning data
view root organisation units per user. The existing association between users
and org units represent access to doing data capture. The new association for
data view organisation units controls for which organisation units a user can
view analytical data in the analysis modules such as pivot table and
visualizer.
Documentation | Demo
- Category option groups and group sets: Category options can now be further
classified by assigning them to category option groups and group sets. An
example where this is useful is when representing various projects as category
options and there is a need to classify these projects by funding
agencies/donors. The group sets are available as dimensions in all data
analysis modules. You set these up from data elements and indicators > category
option groups / group sets.
Documentation | Demo
- Top menu: We have added a new, more flexible top menu. This menu displays
all apps that is available to the current user, including both standard apps
and installed, external apps. It works well on touch-based devices due to the
large icons. You can organize your apps by clicking on "more apps" link and
drag-and-drop your apps into the order you would like. Note that your first
nine apps will be displayed in the drop-down menu. You can scroll down in the
top drop-down menu to view all apps, too. Check it out on the demo by hovering
the "apps" icon in the top menu.
Demo
- User account invites: A new feature for inviting new users to the system has
been added. An invite is similar to an account, except that instead of
specifying username and password, an email is sent to the invited user, who can
pick username and password herself before logging into the system. This is
useful to avoid insecure password generation such as standard or simplistic
passwords, or passwords being known by other than the user herself. Check it
out in the add new user screen by selecting "email invitation to create
account" from the top drop-down menu.
Documentation | Demo
- Std dev and variance aggregation operators: Data elements can now have new
aggregation operators which includes count, standard deviation and variance.
These aggregation operators can also be specified directly in analytics web api
queries. This allows for more advanced reports and aggregations.
Documentation | Demo
- Org unit group counts in indicators: In indicator formulas you can now
include the number of org units in a specific group. This count of org units
intersects with the org unit hierarchy based on the org unit requested for
aggregation. As an example, this lets you use the number of public facilities
in a specific district in indicators. This is useful e.g. when creating
facility infrastructure surveys and reports. Check out the
Documentation | Demo
- Custom range axis in visualizer: In data visualizer you can now specify a new
set of options for the range (y) axis, namely the max and min value, the number
of ticks to use, and the number of decimals for the axis values. This is useful
when e.g. you want to "zoom in" on the upper part of a bar chart in order to
highlight differences between org units. Check out the demo chart which shows
immunization coverage between 70% and 110%.
Documentation | Demo
- OpenID authentication: The system can now be configured to authenticate users
through OpenID. This is useful to avoid forcing users to create yet another
username and password. OpenID is an open standard that allows users to be
authenticated through identify providers, such as Google and Yahoo. The OpenID
provider can be specified from settings > access.
Demo
- CSV meta-data import: From import-export module you can now import meta-data
in CSV format. Supported objects are currently data elements + groups, category
options + groups and organisation units + groups. CSV import is quite handy
when doing ad-hoc imports from spreadsheets and the like.
Documentation | Demo
- More dynamic attributes: You can now assign dynamic attributes to data sets
and organisation unit group sets. This is useful when you need to capture
additional meta-data information beyond what is offered as fixed attributes on
these objects.
Demo
- Unit intervals: Data elements now have a new numeric value type called unit
interval, which is a continuous number between 0 and 1. This is useful e.g.
when you require users to enter a percentage in data entry without having to
specify validation rules for each data element.
Documentation | Demo
- Standard comments: Data elements can now define option sets for data value
comments. This means that you can use an option set to define a standard,
common set of comments to data values, and let users choose an option by
clicking inside the data entry cells and using the regular comment field. You
can check it out on the demo for the "facility assessment" form for the
"facility infrastructure" data elements.
Documentation | Demo
- Extended sharing: The sharing paradigm has now been applied to a new range of
objects: org unit group set, data element group, data element group set,
category combination, category, category option, sql view, user role,
validation rule group, option set, tracked entity attribute. The sharing
solution enables you to give objects public/private access for reading or
writing, and share objects with other groups of users.
Demo
- Minor new features:
- Data sets have a new setting for forcing users to enter a comment for missing
data values before clicking complete.
- When importing events you can now specify the organisation unit identifier
scheme, such as code.
- Data visualizer now discriminates betweenmissing values and zeros - missing
values are displayed as dashes.
- DHIS 1.4 import now includes import of validation rules.
- A new six-monthly period type with start in April is now supported for data
capture and analysis.
---
This version brings a lot of improvements to the Web API, which is now richer,
more stable and better documented. We have continued on our path of making all
system aspects available through the Web API, while rewriting our own clients
as light-weight apps.
- Flexible property filtering: When requesting lists of meta-data objects, the
API now allows for flexible filtering on any meta-data property, using any
number of filters per query.
Documentation
- CRUD: All API resources now directly support create, update, get and delete
operations, allowing for modifying resources directly instead of going through
the meta-data resource - makes the API more in line with REST principles and
more convenient to use.
Documentation
- Meta-data inclusion / exclusion: For each resource you can specify precisely
which properties and collections you want to be serialized and included in the
response - useful e.g. to avoid loading big collections unnecessarily for
objects.
Documentation
- Tracked entity instance query: A new resource for querying and searching
tracked entity instances (e.g. persons, medicines) has been added, which
supports free-text queries, queries on specific attributes, programs, program
status, events and more.
Documentation
- Data value set templates: You can now generate data value set templates for
specific data sets, making it simpler to create data entry clients.
Documentation
- JSON data value sets: Data value sets can now be rendered as JSON, in
addition to the existing XML support.
Documentation
- Maintenance: Certain maintenance functions are now available through a
maintenance web api resource.
Documentation
---
You can download Live package, WAR file, sample data and source code here:
http://www.dhis2.org/downloads
You will find documentation and javadocs here:
http://www.dhis2.org/documentation
The demo application can be found here:
http://apps.dhis2.org/demo
Full list of features can be found at the Launchpad page:
https://launchpad.net/dhis2/+milestone/2.15
Enjoy the new features. Feedback is appreciated.
best regards,
the DHIS 2 development team
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