Open issues

As an architect, data should be able to be routed to all appropriate data stores as part of the stream processing pipeline
CC-405
As a developer, I should be able to write code that processes data as it arrives at the system
CC-339
As a data scientist, test cases should be provided for each feature algorithm to ensure validity of the computations
CC-448
Data descriptor has same column name
CC-652
Log corrupted data and skip ingestion
CC-651
CC should have a mechanism to load CSV-based data files into its data storage layer
CC-648
Layout the CRI project contribution guidelines
CC-640
DataIngestion: Kafka deprecated
CC-636
Create a filtered data quality stream that mirrors what mCerebrum shows participants
CC-634
As an architect, I should overlay the CC interface for external users with a secure wrapper
CC-615
As an architect, what needs to change to support IoT devices
CC-612
As an architect, I should have a real-time processing pipeline to handle incoming data
CC-611
As a developer, I should have hooks into Cerebral Cortex to add code at particular points (Load, Save, and Export)
CC-610
There should be a mechanism to store GIS-compatable data within the system.
CC-605
Amazon Web Services Integration
CC-597
Inconsistencies in metadata keys
CC-558
mDebugger
CC-529
As a developer, I should have an object-oriented way to interact with Cerebral Cortex and associated APIs
CC-528
As an architect, checksums should be utilize as part of the REST API to ensure proper file and data transfers
CC-417
As a study coordinator, I should have access to study-wide reports
CC-416
As a study coordinator, I should have the ability to generate study-wide reports
CC-415
As a study coordinator, I should have access to all individual reports
CC-414
As an participant, I should have access to individualized reports via my account
CC-413
As a user, I should be able to specify temporal restrictions on subsets of my data
CC-412
As a user, I should be able to specify when or where my data can be accessed or shared
CC-411
As a user, I should be able to control the downstream usages of my data
CC-410
As an architect, the access control layer should allow for dynamically adjustable controls by participants
CC-409
As an architect, basic/common computations should be run on data as it arrives in the system
CC-406
As an architect, I should have a robust and reliable data processing pipeline for incoming data
CC-404
As an architect, I should have a robust and reliable mechanism to run data processing algorithms
CC-398
As a data scientist, I should be able to generate reports and graphs based on the stored data
CC-395
As a data scientist, I should have the ability to generate an export (size limited) of some of the data so that I can download it to my system
CC-394
As an architect, the user interface should unify all the various subsystems
CC-381
As a participant, I should be able to selectively delete data from the system
CC-379
As a user, I should be able to use OAuth2 (e.g. Google, Facebook, Twitter) to authenticate and create an account on the system
CC-378
As developer, I should be able to download an object (e.g. individualized trained model) from the cloud for use in my application
CC-360
As an architect, the system should provide a way to import 3rd party data (e.g. fitbit) into the core so that it can be integrated into analysis routines
CC-359
As a developer, I should be able to import exported data through this interface
CC-357
As a developer, I should be able to write a script to submit data on behalf of another user within the system
CC-356
As a study coordinator, I should be able to configure where and how often alerts are sent
CC-355
As a study coordinator, I should be able to define a set of rules that will generate an alert based on live data
CC-353
As a participant, I should be able to see a summary screen of my data and insights from my data that have been produced by the system
CC-351
As a participant, I should be able to see my own live data
CC-350
As a user, data import and export format should be reflective of standard practices so that the information can be used in other systems
CC-343
As a developer, I should have a specification of the data formats so that I can implement a script or app
CC-340
mCerebrum Configuration Tool
CC-338
Data-driven Alerting
CC-331
Data Monitoring
CC-330
Privacy-aware Access Control
CC-328
issue 1 of 49

As an architect, data should be able to be routed to all appropriate data stores as part of the stream processing pipeline

Description

None

Status

Assignee

Nasir Ali

Reporter

Timothy Hnat

Labels

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Epic Link

Sprint

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Priority

Highest