Open Issues Need Help
View All on GitHubAI Summary: Create a template for a README file that data managers can use to document data management practices for each project. The template should provide guidance and structure for recording key information related to the project's data.
AI Summary: Identify and remove outdated SharePoint content. This involves searching for obsolete files and documents, and proposing alternative locations for any relevant information that needs to be preserved.
AI Summary: Prepare case studies showcasing successful data management stories. These case studies will be shared during Data Resources Calls and subsequently added to the Data Manager Toolbox.
AI Summary: Participate in User Acceptance Testing (UAT) for EQuIS software upgrades. This involves testing the upgraded software to ensure it functions correctly and meets requirements.
AI Summary: Design a Miro board workflow visualizing a data management process. The workflow should be adaptable for different audiences, showing both a simplified overview and detailed breakdowns of pre-processing, data management, and post-processing steps.
AI Summary: This task requires documenting the process of adding and removing ERM IP addresses from a new out-of-box (OOB) database, including format considerations. It also involves updating the Standard Operating Procedure (SOP) and integrating cost considerations into an existing budgeting tool.
AI Summary: This task involves creating content, finding presenters, and leading calls for Data Resources. The project details are lacking, so the specific content and target audience are unknown.
AI Summary: Research and compile case studies showcasing the application of AI in automating repeatable data management tasks. The goal is to share these examples with a group.
AI Summary: Manage updates to Standard Operating Procedures (SOPs) by triaging change requests, consulting Subject Matter Experts (SMEs) to determine justification or training needs, making necessary SOP edits, and coordinating with TESS for publication. The frequency of publication depends on the urgency and significance of the changes.
AI Summary: Communicate with labs about changes in the lab manual and distribute the updated version.
AI Summary: Verify data manager assignments for each facility. This involves sending a list of assigned facilities to each data manager, obtaining confirmation of receipt and accuracy, and making any necessary updates to reflect changes or new assignments.
AI Summary: Identify and reassign data managers for 'A' status facilities in dt_facility where the current manager is no longer with ERM. Facilities should be marked 'R' status if a replacement cannot be found. Additionally, investigate and correct mismatches between data loaders and assigned data managers in dt_facility, updating facility owners as needed.
AI Summary: Create a detailed outline of the process for decommissioning facilities within the EQuIS system, as requested by TESS. This outline should cover all necessary steps and considerations for removing facilities from the EQuIS database and associated systems.
AI Summary: Create a Microsoft Teams channel for data managers to ask EQuIS-related questions and receive help from colleagues.
AI Summary: Coordinate with data managers to migrate historical reference elevation data for 400+ facilities from the `dt_water_level` table to the `dt_measure_datum` table. This involves ensuring data consistency and accuracy during the migration process.
AI Summary: Create a video tutorial demonstrating the desired style and format for all future training videos. This video will serve as a template or guide for creating consistent training materials.
AI Summary: Compile existing training videos and instructions into a cohesive training package. This likely involves organization, potentially some editing or reformatting, and ensuring all necessary materials are included.
AI Summary: Create a screen recording demonstrating the use of the location groups interface. The recording should cover naming groups, completely filling in all fields (remark and owner), and explaining maintenance procedures. A bulleted list of requirements should accompany the recording.
AI Summary: Create a screen recording demonstrating troubleshooting common issues in the Collect forms application, such as missing samples or incorrect water levels. The recording should showcase the Collect dashboard and the troubleshooting process.
AI Summary: Create a screen recording explaining basic coordinate systems and their associated equis fields. The recording should include a bulleted list summarizing the key concepts.
AI Summary: Create a training video demonstrating the use of important fields within the EQuIS database, referencing the Lab Manual for field details and explanations. The video should walk through various tables within EQuIS.
AI Summary: Develop and deliver basic consulting skills training for new data managers. The training should cover fundamental consulting principles and best practices applicable to data management.
AI Summary: This task involves creating a screen recording demonstrating how to import geological location data into a training system. The recording should also include a bulleted list outlining the geology involved.
AI Summary: Create a screen recording demonstrating how to locate and review action levels within the Equis Pro interface. The recording should clearly show the steps involved in finding an action level.
AI Summary: Create a training video demonstrating how to export low-flow logs and troubleshoot missing samples. The video should cover the process clearly and address common issues encountered when exporting these logs.
AI Summary: Create a step-by-step guide and video walkthrough demonstrating how to run various Enterprise Risk Management (ERM) reports. The guide should be in bulleted list format.
AI Summary: Create a walkthrough demonstrating the features of the Data Manager (DM) toolbox. This will likely involve screenshots, step-by-step instructions, and explanations of the functionality within the toolbox.
AI Summary: Create a video tutorial explaining the process for obtaining validation or data quality assessments for lab analytical data. The video should be clear, concise, and easy to understand for the intended audience.
AI Summary: Create training videos from existing Standard Operating Procedure (SOP) content using AI video generation tools and embed the video links directly into the SOP documents.
AI Summary: Create a video tutorial demonstrating the usage of the LPMR Toolbox. The video should guide users through the toolbox's functionalities and features.
AI Summary: Create a video tutorial for non-data managers on using EQuIS Enterprise to locate and run reports for analytical data and performance gauging. The video should guide users through the process of finding the appropriate reports to meet their needs.