Built for Science: Data Management Tools for Immunotherapy


CAR T and other cellular immunotherapy trials are rapidly expanding worldwide due to their high success rates and continued scientific advancements that are helping generate new therapeutic targets. The development of these advanced immunotherapies requires extensive data collection and collaboration between research scientists, clinical teams, and trial subjects. In order to manage immunotherapy data efficiently and improve the feedback loop from current and ongoing trials many research teams are seeking out secure, web-based data management solutions in lieu of traditional paper based systems to manage their trial data.

LabKey is actively partnering with teams conducting immunotherapy trials to provide LabKey Server-based solutions to overcome a wide variety of challenges and accelerate their research, including:

Connect data from heterogeneous data sourcesIntegrating Heterogeneous Immunotherapy Data

Cutting edge cellular immunotherapy trials rely on data generated at multiple sources often including the cellular manufacturing facility, the clinic gathering subject data, and research labs exploring the cellular profile of the therapy. Teams conducting CAR T and other immunotherapy trials need reliable software tools to integrate this heterogeneous data and provide a comprehensive view of the therapy’s efficacy and safety to clinicians and researchers.

LabKey Server helps immunotherapy research teams efficiently integrate heterogeneous data by providing:

  • A data-aware study module that can recognize and integrate disparate vendor datasets, alias subjects and track visits by name or by date
  • Built-in and customizable integration with electronic data capture systems and case report forms

Longitudinal Study Data Capture

longitudinal study data management

Lengthy follow-up periods are typically required for subjects undergoing therapy involving genetically modified cells. Managing trial data over time in a secure and scalable manner quickly becomes very challenging for paper-based systems.

LabKey Server helps support the consistent collection and storage of longitudinal study data throughout the lifetime of a trial by providing:

  • A configurable study progress report that allows trial staff to manage samples and tests, ensuring that every result is accounted for.
  • The flexibility to customize and modify the system as the needs of the database grow and change, without compromising historic data.
  • Professional support and services to ensure that the system is maintained throughout the life of the trial.

Explore this Longitudinal Study in LabKey Server

This example study compares various anti-retroviral (ARVs) treatment regimens by monitoring HIV-1 disease progression in 122 participants.

Compliant Collaboration

LabKey software tools for sharing scientific data onlineSharing reports and data with collaborators improves research, innovation, and ultimately subject care. Maintaining compliance and having the ability to quickly share data and reports is an important topic to tackle in immunotherapy research where subject safety and care is the top priority.

LabKey Server improves reporting and collaboration amongst collaborators conducting immunotherapy trials by providing:

  • Dynamic and static reporting tables and visualizations that can be shared as-needed
  • Web-based access to a central platform for data sharing
  • The ability to remove PHI fields or provide randomized IDs when sharing
    information with collaborators

[vc_cta h2=”Explore LabKey Server” add_button=”bottom” btn_title=”Start Your Trial” btn_style=”custom” btn_custom_background=”#779e47″ btn_custom_text=”#ffffff” btn_shape=”round” btn_align=”left” btn_link=”url:https%3A%2F%2Fwww.labkey.com%2Ftrial-sign-up%2F|||”]With the right tools, immunotherapy research teams can push the pace of this cutting edge research even further, increasing trial efficiency to bring life saving therapies to more patients faster. Sign-up for a free trial to see how LabKey Server can help your team overcome these, and other common immunotherapy research challenges.[/vc_cta][vc_custom_heading text=”Related Resource” font_container=”tag:h1|text_align:left” google_fonts=”font_family:Roboto%3A100%2C100italic%2C300%2C300italic%2Cregular%2Citalic%2C500%2C500italic%2C700%2C700italic%2C900%2C900italic|font_style:300%20light%20regular%3A300%3Anormal” tm_text_transform=”uppercase” css=”.vc_custom_1541533930179{padding-top: 10px !important;padding-bottom: 10px !important;}”]

User Presentation

Using Existing LabKey Modules to Build a Platform for Immunotherapy Clinical Trials

The Correlative Studies Laboratory (CSL), part of the Immunotherapy Integration Hub at Seattle Children’s, focuses on understanding how reprogrammed T cells react in each patient in terms of their persistence, functionality and efficiency at reducing tumor burden. This data, combined with manufacturing and clinical data generated during clinical trials, enable researchers to answer pressing questions with minimal time and resource investment.

In this presentation Olivia Finney, shares how the CSL is working with LabKey to integrate, analyze and securely share data in order to create a truly translational research model. Watch presentation >

Setting Yourself Up for Success: 3 Best Practices for Managing Permissions

LabKey Server gives teams the flexibility to assign permissions to individual users or to security groups. While teams are setting up and implementing LabKey Server, assigning user permissions individually often seems like the easiest route, but for growing teams or active labs that strategy can become an administrative challenge in the long run. As your team and/or use of LabKey Server grows, it becomes much easier for administrators to control permissions with User Groups.

What’s more important than which method you choose, is taking the time to define your permissions strategy up front. A defined and documented policy will help make managing security easier to implement and maintain long term. Take a look at the best practices below to set yourself up for success when creating a permissions strategy:

Using security groups to manage access to scientific research data in LabKey Server1. Define User Groups

Think about the functional requirements of your team; are there members that will need read-only access and some members that need to enter in data? By splitting out what the needs of each person are, you can easily define user groups based on common access needs.

Use a folder structure for organizing scientific research data that supports security in LabKey Server2. Consider Folder Structure

Take your LabKey Server folder structure into consideration when defining security groups; should your team members have the same permissions to all folders? Do certain team members need the same level of access but to different folders? Use your folder structure to help further segment users into appropriate security groups.

Regularly review LabKey Server security setting3. Monitor and Adjust

Review and refine user groups over time as the use of LabKey Server continues to grow. Administrators should review their permission settings at a regular frequency to make sure permissions for a User Group are accurate and appropriate for the current situation. Use LabKey Server’s Impersonate feature to view access as each User Group and verify that the permissions assigned to each group are correct.

Get started securely sharing data with team members and collaborators using LabKey Server! Sign-up for a free trial to see LabKey Server permission management features in action. 

LabKey Biologics for Protein Engineers

LabKey Biologics registration and classification tools for protein engineersThe focus of pharmaceutical and biotech research has seen a significant shift in recent years. Many research teams are no longer driving towards building small molecules, but are instead focused on designing new protein-based therapeutics. Protein engineers at these organizations are often responsible for the structural design of target molecules as well as the experimental protein production and characterization of their designs.

To support this work, protein engineers need biologics software tools to capture details about molecular components such as proteins, antibodies, plasmids and cell lines, as well as the detailed steps of the development process. LabKey Biologics provides an easy to use system for centralizing this information and additional tools to help facilitate protein design including:

Uniqueness Verification

There are a number of entities that might be critical for a research organization to register in a bioregistry. These could include:

  • Protein Sequences
  • Nucleotide Sequences
  • Molecules (ex: Antibodies)
  • Plasmids
  • Cell Lines

Each of these entities is checked for uniqueness when they are registered in LabKey Biologics.  This prevents dirty data caused by duplicate records and reduces duplicate work for protein engineers. Uniqueness checks are in place for all entity types, whether you are registering a single sequence or a molecule composed of multiple protein sequences.

Uniqueness checks are also run on data auto-registered during the import of a GenBank file. In that case, LabKey Biologics will register plasmids during the import of a GenBank file, but also auto-register any regions that translate to protein sequences. If a protein sequence already exists, the system will register only the relationship between the plasmid and that protein sequence, not create a new sequence.

Classification by Protein Engineers

LabKey Biologics includes a classification engine that can identify, predict, and calculate various characteristics of registered molecules. This saves protein engineers valuable time manually assigning classifications.

The system automatically detects many regions and features of protein sequences including leader sequences, variable regions, constant regions, and CDRs. LabKey Biologics can also be trained to recognize additional sequence classifications, for example, by registering a leader sequences as a “Leader” within the system, it will recognize future leader sequences that match it.

LabKey Biologics can also recognize heavy chains and light chains and predict their type,  based on the amino acid sequence of a registered protein, as well as the isotype of the overall antibody.

For all of these classifications, whether LabKey Biologics is detecting subsequences on the amino acid sequence or the type of overall sequences, the protein engineer can always override the classification engine if the prediction is incorrect.

Integration with Other Systems

Often times, protein engineers are using another application to design proteins or plasmids. LabKey Biologics makes it easy to bring this data into the system, either via APIs or by bulk upload. Regardless of the registration method, the same classification and uniqueness checking features apply to all registered entities.

To see this functionality in action, request a demo! To learn more about LabKey Biologics check out our documentation and resources on the LabKey Support Portal.

The Power of Structured Data: Customizing Grid Views in LabKey Biologics

When analyzing biologics assay data, scientists often need to look beyond the results at related data to answer their research questions. Comparing lineage characteristics like which expression system was used to generate an experiment sample or details about the sample itself, such as the buffer used in it, can uncover crucial data patterns and insights.

This type of data exploration requires data to be captured in a structured manner and integrated into a central system where it can be easily accessed, queried, and analyzed.

Structuring Data for Maximum Value

LabKey Biologics provides tools to ensure that data is correctly structured and consistently stored. For each data type within the LabKey Biologics application, users are able to configure a specific structure, indicating the names of fields as well as their type. Because this data is consistently structured, a user can pull together relevant data from different sources for an integrated view of their data during analysis.

Integrating structured assay and sample data in LabKey Biologics using Sample IDs and look-ups.

For example, when looking at the results for a specific assay type, such as optical density, a user can add details about the samples themselves to the assay results data grid. This might include the buffer used, the expression system used to create it, or the name of the antibody (or other molecule) that was being produced.

Customized Data Views for Quicker Access

Users can customize the default assay data grid view to include these additional look-up columns. Customized default views provide quick access to all the data relevant to the user’s research, instead of having to join data each time they view the dataset. Users can also sort, filter, and search the data in these additional columns the same way they can with native assay data fields.[vc_cta h2=””]To see this functionality in action, request a demo! To learn more about LabKey Biologics check out our documentation and resources on the LabKey Support Portal. [/vc_cta]

Basic Research: Increasing Data Workflows

With ever-increasing technological advancements, basic research laboratories are making scientific discoveries at unprecedented rates. With increasing knowledge and understanding about our world, basic research scientists need affordable ways to improve data management and sharing methodologies. When scientists can perform experiments more accurately and with better reproducibility, they are able to improve data integrity and ultimately quicken time to publication.

In order to be effective in today’s data-rich research environment, scientists are looking to software tools to help facilitate research and time to publication. LabKey Server provides essential tools to overcome key basic research challenges, including:

Connect data from heterogeneous data sourcesEffectively Managing Heterogeneous Lab Data

Effective management and merging experimental data can help identify gaps in research or highlight key insights to new discoveries, but manually comparing performance of a particular molecule, cell line, or other entity across experiments a time-consuming and difficult process.

LabKey Server helps teams manage lab data by providing:

  • Assay integration modules that directly import and transform lab data, such as luminex, flow cytometry, mass spectrometry, ELISA/ELISpot, and more.
  • A flexible, customizable platform that can handle data from team specific assays
  • Easy-to-perform data integration

QC checks ensure data integrity and effective integrationEstablishing Good QC Metrics

Creating good quality control methods as part of standard workflows ensure data integrity and ultimately allow scientists to compare data across experiments to collect reliable, reproducible data.

LabKey Server helps enforce good quality control practices by providing:

  • Automatic type checks, missing value indicators, and range validators on data
  • Built-in QC trend reports, Levy-Jennings and other QC graphs
  • Dataset QC states that flag data for review

Secure methods of collaboration on scientific research projectsCollaborative Data Sharing

Sharing data with internal and external collaborators improves scientific integrity and innovation. Effective collaboration reduces duplicative effort, quickens analytical time, and improves data integrity, enabling cross-functional work and quicker development of discoveries.

LabKey Server facilitates collaboration by providing:

  • Multi-level security permissions, giving teams full control of what information they share and who it is shared with
  • An assay request tracker that allows teams to collaboratively assign new experiments and track their fulfillment
  • Study publishing tools that de-identify data, allowing collaborators to examine data and analyses without interfering with the raw data

Want to see how LabKey Server can help increase data workflows in your basic research environment? Explore these, and other features, of the LabKey Server platform with a 30-day hosted trial. Get started >

3 Key Reasons Data Accessibility is Essential in Research

Modern research technologies have greatly increased the amount of scientific data being generated, but making full use of that data is still a major challenge. Data accessibility is a consideration at all stages of the research process; for bench scientists making data accessible to informaticians, for teams sharing data cross-departmentally, and for researchers making data accessible to the public.

The accessibility of data is essential for a number of reasons:

Data accessibility reduces duplication of experiments1. Minimizing Data Redundancy of Research Efforts

Research redundancy is a major problem within research organizations and across the research community. By making data accessible to their desired audience, researchers can reduce the number of redundant experiments conducted and instead iterate upon existing research to accelerate discovery.

Draw reliable conclusions from your experiment data2. Drawing More Reliable Conclusions from More Data

Broader data accessibility allows research teams to pool data and conduct analysis with greater confidence in their results. The more data a researcher has access to, the more statistical power they have to validate research conclusions and preempt questions of data quality.

Accessible data inspires novel approaches to answering scientific research questions.3. Inspiring Novel Questions from Different Approaches

New research questions are inspired by different research approaches and through the study of new methodology. Attacking scientific investigations from varying perspectives also helps reduce bias in analytics, experimental design, and conclusion drawing.

Expanding Data Accessibility with LabKey Server

LabKey Server not only helps teams collect and curate their data, but also helps make it accessible to collaborators and downstream researchers.

Web-Based Access

LabKey Server allows researchers to make their data accessible to a broad or narrow audience through a web-based portal. Web-based access makes it easy to share data as desired and allows interested collaborators to evaluate and alternatively analyze “self-serve” research data. This method of data sharing is both more secure than email (see fine grained permissions below) and much lower overhead than a standard institutional database as users can query, view, and export data without having to interface with a data scientist.

Fine-Grained Permissions

LabKey’s fine-grained permissions model makes secure, selective sharing of to data simple and reliable. With LabKey Server, teams can easily control who sees their data, restricting access to selected individuals or pre-defined groups, or making data accessible the general public. Researchers also have fine-grained control over what datasets are shared: either a single table of data or an entire research project.

Powerful Metadata

LabKey Server captures detailed metadata to help increase discoverability of research data and provide crucial context for other researchers who hope to explore, reanalyze, and/or expand upon it. Research teams can customize metadata captured for each of their data types and add organization specific metadata to support internal needs.

Interested in learning more about how LabKey Server can enhance the accessibility of your research data? Contact the LabKey team for more information or request a demo!

*To learn how configure accessibility features of LabKey Server, read documentation >

Two Key Things Your Spreadsheet-Based Research Data Management Strategy is Lacking

High-throughput analysis techniques are incredibly powerful and provide teams with more data than ever. While that depth of data often holds the key to scientific insights, organizing such large quantities of data in a consistent and discoverable way has become a major challenge for research teams.

Many teams rely on spreadsheet-based systems to organize and manage their data. This approach becomes less-effective as research scales because spreadsheet-based strategies lack two essential characteristics:

1. Consistency

Spreadsheet data management lacks consistencyManual file management relies on the individual contributor’s abilities to consistently create, name, and store data files. This opens the door to a wide range of human errors that will ultimately impact the discoverability and reliability of your data. Common consistency errors that result from manual data management include:

  • Poorly named files
  • Inconsistent locations
  • Duplicate files

2. Discoverability

Spreadsheet data management lacks discoverabilityCollecting data is a giant hurdle in research, but in reality, it is just the first of many. Researchers need to be able to locate datasets of interest in order to conduct analysis. In a file based environment, discoverability of files is dependent on the consistency with which they are maintained. Were they saved in the correct location? Have they been named according to an agreed upon convention? Is there a clear authoritative file or are there duplicates?

A hitch in any one of these areas can severely hinder the discoverability of your data and make it significantly more difficult to:

  • Track what research data has already been collected
  • Find the data you are looking for when it comes time to analyze

Biology-Aware Data Management with LabKey Server

Scientific data management systems like LabKey Server, help increase the consistency and discoverability of your research data. LabKey Server increases the consistency of data management by providing structured data grids for storing various type of research data. Each data grid type also captures relevant metadata, specific to that data type, in order to help make data more discoverable.

Research-Centric Data Structures

Unlike spreadsheets that treat all types of data the same, LabKey Server provides four primary data structures with unique features to better support common types of research data.*

LabKey Assays – Assay data grids capture data generated from individual experiment runs. Assay data is automatically structured in a batch-run-results hierarchy when data files are added. LabKey Server supports data a variety of common assay designs out of the box, but teams can also design their own assay data structure using LabKey’s General Purpose Assay Design.

LabKey Datasets – Datasets track patient/subject measurements over time. LabKey datasets are automatically aligned and joined together, making it easy to query the integrated data and to create visualizations from multiple datasets.

LabKey Specimens – Specimen repositories track the status of each specimen and vial in your inventory. Built-in reports provide a birds-eye view of specimen information, and advanced search capabilities allow for easy location of specimens.

LabKey Lists – LabKey lists provide general purpose, online, interactive grids for any tabular data. Data stored as a LabKey list can be sorted, filtered, and visualized using built-in tools.

Storing data in a consistent, structured manner is the key for teams that hope to achieve maximum efficiency in operations and maximum value from their data. Not only is it much simpler to find data when it is stored in an expected location, but the centralization and integration makes it possible to query data to more quickly locate information of interest.

Interested in learning more about how LabKey Server can increase consistency and discoverability of your research? Contact the LabKey team for more information or request a demo!

*To learn how to add data to LabKey Server, read documentation >

LabKey Vision 2018

2017 was a year of many milestones for the LabKey team. Our newest product, LabKey Biologics, launched in April and has been implemented at four leading pharma and biotech companies, we redesigned the LabKey Server user interface, and we took our compliance functionality to the next level with the introduction of compliant hosting and a suite of new features to support teams working within HIPAA, FISMA and CFR Part 11 compliant environments. LabKey is excited about what the next year has in-store and we want to share our vision for 2018 with the growing LabKey community.

LabKey Server Premium Functionality: R Studio, PHI/PII Handling, Clinical Ontologies

Reinvesting Premium Dollars into Premium Functionality

Each year, LabKey invests in a number of development projects that premium subscribers have shared as key priorities. In 2018, we plan to dedicate development time to a variety of key areas including:

  • Helping secure access to protected data with added support for PHI/PII handling
  • Opening the power of R to more users in a secure manner by introducing sandboxing of R code execution
  • Increasing the reliability and reproducibility of results via versioning of R engines and packages within RStudio configurations
  • Streamlining data integration and enabling rich querying by adding support for clinical ontologies and controlled vocabularies
  • Automating and expanding data acquisition options through pipeline file watchers and integration with cloud storage providers

Curious what new  functionality was introduced in 2017? Read our “What’s New” updates >

Biologics R&D Roadmap: Experiment Grouping of Samples, Assay Data, Lineage Delivering on the Biologics Roadmap

The LabKey Biologics team, in partnership with our product advisory council, has developed an aggressive roadmap for continued development of this flexible system for biologic discovery and development. In 2018, the team will be focusing much of their efforts on:

  • Simplifying access to all relevant experiment data by enabling the grouping of samples, assay data, and notes by experiment
  • Helping teams better understand their data by expanding reporting and visualization capabilities
  • Making it easier for users to standardize and track the creation of media batches through usability improvements to the application’s media registration tools

Interested in learning more about LabKey Biologics? Watch our “Quick Look” video series >

LabKey Software Infrustructure: Java 9, Javascript Shared ComponentsStrengthening our Core Technology Infrastructure

In order to support our ongoing commitment to providing reliable software solutions, each year we dedicate resources to evolving our technology infrastructure to ensure its on-going stability. This year, we are largely focused on enhancements that will improve efficiency for both internal and external developers working with LabKey Server. Our key priorities include the development of a method for sharing JavaScript components between modules, fully supporting Java 9, and maintaining full compatibility with new versions of third-party components.

LabKey Server UX Refinements: New User Experience, Hosted Data Management Solutions, Compliant HostingRefining the LabKey Server User Interface, According to User Feedback

We have heard from new users of LabKey Server that the current experience makes it difficult to get started using the platform. In order to make sure new users can be successful using LabKey Server from the get go, our UX team will be working with new users over the next few months to understand how we can improve our user interface and the tools we provide. In addition, we will be continuing to expand our our hosted solutions in 2018 to make it easier for organizations to adopt and support LabKey Server.

Want to learn more about the recent LabKey Server UI changes? Check out our “New LabKey Server UI” blog series >

In addition to strengthening our solutions this year, we want to continue to strengthen our relationships with you, the LabKey community. We hope that you will join us in this journey toward creating robust and powerful tools for accelerating research. A few ways that you can get involved this year include:

Providing Feedback on the New UI

As teams upgrade to LabKey Server version 17.3 and later, we encourage you to provide feedback about the new UI through the “Give Feedback” form that can be accessed in your LabKey Server account menu. This feedback is reviewed, prioritized, and used directly to help us make decisions about refinements to the LabKey Server UI.

Participating in a New User Walk-Through

Are you new to using LabKey Server? We want to hear about your experience and how we can improve! LabKey User Experience Manager, Jessi Murray, is looking for new users who would be willing to discuss their experience getting started with LabKey Server and how it could be improved.

Email Jessi Murray at jessim@labkey.com for more information!

Attending the LabKey User Conference

The LabKey User Conference is an opportunity for users to gather together and share about how they are using and extending the LabKey platform and solutions. Attendees also participate in round table discussions and work sessions with the LabKey developers where they can explore current challenges and shared feedback directly with the LabKey team.

Interested in speaking at the LabKey User Conference? Email conference manager, Kelsey Gibson at kelseyg@labkey.com for more information!

LabKey Biologics: A Year in Review

As this year comes to a close, we wanted to take a few minutes to reflect on the year and thank you for joining us on the LabKey Biologics journey. It has been an amazing year and we couldn’t be more excited about what’s coming in 2018!

Launching LabKey Biologics

One of the key parts of developing this application has been the engagement from our LabKey Biologics Product Advisory Council. Since its inception, we’ve been meeting monthly with eight different biotech, pharma, and academic institutions to get feedback. They’ve let us know what we’re doing right (and wrong) and have been invaluable in guiding the product development.

After working with the Product Advisory Council and our initial collaborator, Just Biotherapeutics, for 18 months, we officially launched LabKey Biologics in March. This first version focused on:

Just Biotherapeutics has been rolling out LabKey Biologics and has registered hundreds of biological entities, used workflow management to request thousands of assays, and uploaded analytical data for tens of thousands of samples. Several other members of our advisory board have also become clients and are in the process of implementing LabKey Biologics at their organizations.

Following the release of LabKey Biologics, we had the chance to talk with hundreds of individuals about the new product at PEGS Boston and Bio-IT (we’ll be at both shows again in 2018). Gathering feedback from folks in different roles throughout the industry, active users, and advisory board members has helped us improve the product and plan for future enhancements.

Since we launched in March, we’ve worked on many different improvements to the product. Some of the larger efforts include:

  • Additional Methods to Upload Assay Data
  • Defining the Lineage of a Sample, from Bioreactor Run to Purified Antibody
  • Media Registration – More Options and Ease of Use
  • Updates to the User Interface

What’s Next

As we look to 2018, we are excited to continue expanding the functionality of LabKey Biologics. We’ve got big plans for the next 12 months, including:

  • Defining Experiments
  • Building Analyses and Reports
  • Mapping and Characterizing Post-Translational Modifications
  • Improvements to Bulk Import of Entity Registry, Assay, and Media Data
  • Integrating Custom Assay Definitions with LabKey Biologics

Product Feedback

We’re always interested in feedback! We’d love to connect with each of you in the new year, and have a conversation (or several) to hear about your needs and thoughts on the product’s direction. If you’d like to learn more about LabKey Biologics, we’re hosting a free Intro to Biologics webinar on January 9.

Don’t hesitate to get in touch with us – and best wishes to you in the New Year!

LabKey Biologics Team

Ryan Luce, Product Manager
Email: ryanl@labkey.com

Kevin Krouse, Lead Software Engineer
Email: kevink@labkey.com

Before & After: A Side-by-Side Look at the New LabKey Server UI

The upcoming redesign of the LabKey Server user interface includes a variety of updates; some of which are focused on look and feel, some on interface behavior, and some technical stability. All of these changes and enhancements were carefully selected because of the contribution they will make to the overall usability of the platform. Prior to the release of the new UI as part of LabKey Server v17.3, we wanted to give users a side-by-side look at some of the key updates and how they will differ from the current UI.[vc_row gap=”30″]

Landing Page

Many of the key changes to the LabKey Server UI can be seen upon your arrival on the LabKey Server landing pages. The new interface features an updated header style with a more compact navigation and reorganized menus, the addition of a new “frameless” webpart style, and updated logic that will hide the tab bar on home projects if there is only one tab present.[asvc_before_after before_image=”76688″ after_image=”76792″][vc_row gap=”30″]

Page Administration

In order to reduce the visual noise and present a cleaner UI for administrators, we have introduced a “page admin mode.” Options like “add web part” and tab editing will no longer be presented at all times and will instead only be visible when the user turns on page admin mode. Page admin mode can be easily turned on when edits to a page are needed and turned off when edits are complete.[asvc_before_after before_image=”76691″ after_image=”76793″][vc_row gap=”30″]

Data Grids

Several changes have been made to the LabKey data grids in order to declutter the grid navigation and increase readability. The most notable changes include the introduction of a more icon-driven button bar with tooltips for each action available on hover, a simplified “edit” link presentation, and the addition of row highlighting. [asvc_before_after before_image=”76684″ after_image=”76794″][vc_row gap=”30″]

Grid Customization

The customizing grids of data has been simplified in the new LabKey Server UI. With this update, filters and sorts added to a grid are always carried with view and no longer require an opt-in. Additionally, filters can be quickly edited using one click to reopen the filter pane or removed with by clicking the newly added [x] icon next to each filter definition.[asvc_before_after before_image=”76682″ after_image=”76795″][vc_row gap=”30″]

Menus

Updates to the LabKey Server menu are both visual and technical in nature. A major shift included as part of the redesign is the transition to menus written in Bootstrap instead of Ext, that take advantage of Bootstrap’s consistent styling and built-in behavior for multiple form factors. Sub-menu behavior has also been updated so that sub-menus now replace the menu content (with a back to menu option) instead of appearing next to the primary menu. This change makes the navigating to 2nd level sub menus a much cleaner experience, as users navigate within one menu frame instead of 3. Finally, type-to-filter functionality has been added to the menus with greater than 10 values. This can initially be seen in the “More Modules” list as well as the “Grid Views” list.[asvc_before_after before_image=”76697″ after_image=”76695″]

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