Awesome!
Congratulations to the development team.
John
John Ojo MD, FMCPH
Monitoring & Evaluation Specialist
West African Regional Disease Surveillance (WARDS) Project
West Africa Health Organization (WAHO/ECOWAS)
Bobo-Dioulasso, Burkina Faso.
Mobile: +226 65897160
Skype: Johnojo
On Wednesday, April 23, 2014 7:05 AM, Marta Vila <martav...@gmail.com> wrote:
that looks great, Many thanks!
Congratulations to the team!
On 23 April 2014 06:51, riddy ndoma <riddynd...@gmail.com> wrote:
Congratulation!! In the next release You can give the ability to customize a
section of a form? In lieu customize the entire form?
>
>
>
>2014-04-23 5:16 GMT+01:00 Ismail Yusuf <ismailkolel...@gmail.com>:
>
>Indeed good news :)
>>
>>
>>Congratulation to the whole team who made this possible. The new features are
>>pretty exciting, looking forward to fully utilize them.
>>
>>
>>Cheers,
>>Ismail
>>
>>
>>
>>On Wed, Apr 23, 2014 at 2:06 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
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>_______________________________________________
>>>Mailing list: https://launchpad.net/~dhis2-devs
>>>Post to : dhis2-devs@lists.launchpad.net
>>>Unsubscribe : https://launchpad.net/~dhis2-devs
>>>More help : https://help.launchpad.net/ListHelp
>>>
>>>
>>
>>
>>
>>--
>>
>>Ismail Yusuf Koleleni,
>>Computer Science and Engineering Department
>>College of Information and Communication Technology (CoICT)
>>University of Dar es Salaam
>>+255713732238 / +255788732233
>>
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>>
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>>
>>
>
>
>
>--
>
>Riddy NDOMA
>Software Developer
>Skype: riddyndoma, G+: riddyndoma, FB: riddy ndoma
>Twitter: riddyndoma, LinkedIn: riddy ndoma
>Blog: http://riddyndoma.blogspot.com/
>
>Vous servir est mon désire (Serving you is my desire)
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>
>
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