For newcomers to the opendata.maryland.gov site, gopi.data.socrata.com, and performance.maryland.gov, this page provides some insight and training into navigating these portals and how to effectively use Data & Insights, these sites' data management tool.

Objective(s): Momentum for open access to research is growing. Funding agencies and publishers are increasingly requiring researchers make their data and research outputs open and publicly available. However, clinical researchers struggle to find real-world examples of Open Data sharing. The aim of this 1 hr virtual workshop is to provide real-world examples of Open Data sharing for both qualitative and quantitative data. Specifically, participants will learn: 1. Primary challenges and successes when sharing quantitative and qualitative clinical research data. 2. Platforms available for open data sharing. 3. Ways to troubleshoot data sharing and publish from open data. Workshop Agenda: 1. “Data sharing during the COVID-19 pandemic” - Speaker: Srinivas Murthy, Clinical Associate Professor, Department of Pediatrics, Faculty of Medicine, University of British Columbia. Investigator, BC Children's Hospital 2. “Our experience with Open Data for the 'Integrating a neonatal healthcare package for Malawi' project.” - Speaker: Maggie Woo Kinshella, Global Health Research Coordinator, Department of Obstetrics and Gynaecology, BC Children’s and Women’s Hospital and University of British Columbia This workshop draws on work supported by the Digital Research Alliance of Canada. Data Description: Presentation slides, Workshop Video, and Workshop Communication Srinivas Murthy: Data sharing during the COVID-19 pandemic presentation and accompanying PowerPoint slides. Maggie Woo Kinshella: Our experience with Open Data for the 'Integrating a neonatal healthcare package for Malawi' project presentation and accompanying Powerpoint slides. This workshop was developed as part of Dr. Ansermino's Data Champions Pilot Project supported by the Digital Research Alliance of Canada., NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on this page under "collaborate with the pediatric sepsis colab."

Objective(s): Data sharing has enormous potential to accelerate and improve the accuracy of research, strengthen collaborations, and restore trust in the clinical research enterprise. Nevertheless, there remains reluctancy to openly share raw data sets, in part due to concerns regarding research participant confidentiality and privacy. We provide an instructional video to describe a standardized de-identification framework that can be adapted and refined based on specific context and risks. Data Description: Training video, presentation slides. Related Resources: The data de-identification algorithm, dataset, and data dictionary that correspond with this training video are available through the Smart Triage sub-Dataverse. NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on this page under "collaborate with the pediatric sepsis colab."

TRAINING DATASET: Hands-On Uploading Data (Download This File)

City of San José is committed to an open, honest, and effective government and strives to consistently meet the community’s expectations for excellent services in a positive and timely manner, and in full view of the public. With the advancement in information technologies and the increasing ability to share data more easily across multiple platforms and online, appropriate leveraging of these tools to make information accessible and usable by the public can help improve public service delivery and fuel entrepreneurship and innovation. The Open Data Portal serves as means to implement the City’s Open Data Policy and Open Data Community Architecture which is intended to help the City better utilize its data. Open Data is an important component of this commitment; through making its data publicly available and easily accessible, the City will empower the community to engage with government on a new level and stimulate new ideas, new services, and new economic opportunities. In addition, Open Data will provide a new platform to increase the sharing of information among City departments, improving the City’s ability to deliver services to the community efficiently and effectively. To help achieve these outcomes. To get started please go to the OpenGov Open Data Training page.

Objective(s): Momentum for open access to research is growing. Funding agencies and publishers are increasingly requiring researchers make their data and research outputs open and publicly available. However, this introduces many challenges, especially when managing confidential clinical data. The aim of this 1 hr virtual workshop is to provide participants with knowledge about what synthetic data is, methods to create synthetic data, and the 2023 Pediatric Sepsis Data Challenge. Workshop Agenda: 1. Introduction - Speaker: Mark Ansermino, Director, Centre for International Child Health 2. "Leveraging Synthetic Data for an International Data Challenge" - Speaker: Charly Huxford, Research Assistant, Centre for International Child Health 3. "Methods in Synthetic Data Generation." - Speaker: Vuong Nguyen, Biostatistician, Centre for International Child Health and The HIPpy Lab This workshop draws on work supported by the Digital Research Alliance of Canada. Data Description: Presentation slides, Workshop Video, and Workshop Communication Charly Huxford: Leveraging Synthetic Data for an International Data Challenge presentation and accompanying PowerPoint slides. Vuong Nguyen: Methods in Synthetic Data Generation presentation and accompanying Powerpoint slides. This workshop was developed as part of Dr. Ansermino's Data Champions Pilot Project supported by the Digital Research Alliance of Canada., NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on this page under "collaborate with the pediatric sepsis colab."

Question 3 Colleagues must complete a safeguarding e-learning module when they join the NHSBSA and every two years thereafter. This is mandatory for all colleagues, including those working on the VDPS. The e-learning covers: • information about safeguarding • types of abuse and neglect • case study examples In addition to the safeguarding e-learning module, VDPS colleagues are offered additional support, coaching and training in identifying and responding to safeguarding concerns. Publishing this response Please note that this information will be published on our Freedom of Information disclosure log at: https://opendata.nhsbsa.net/dataset/foi-02063

Data Audit and Data Prioritisation support sheet to be used by public sector bodies for the examples given

Training courses

Ireland Open Data Training Anonymisation 2

Ireland Open Data Training Anonymisation 1b

This module is a part of the introductory online course “Data Steward Training”. In this course learners will develop the skills and gain knowledge on how to be a successful data steward. By the end of this module, learners will: Be able to explain the difference between FAIR and Open Data to researchers. Be able to make data FAIR by using a set of practical guidelines and tools. Understand the range of skills and knowledge associated with data stewardship. Be aware of different approaches to stewardship service provision. Be able to identify key elements that help make research data discoverable, accessible, interoperable and reusable. Be able to practise making data FAIR. This module is suitable for data stewards and trainers seeking introductory learning material. It will take around 1 hour and 30 minutes to complete the module. The materials include video presentations, full video transcripts, PowerPoint presentations and various learning activities and resources to support learning. This learning material has been developed in collaboration with the FAIRsFAIR and EOSC Synergy projects and has been adapted from the Data Steward Instructor Training Workshops run throughout 2020 and 2021. The The Data Steward Training course contains a total of 5 modules, each of which has been uploaded to Zenodo separately. Please see the related identifiers for the DOI's for each module. Please note: that module 4 (Data Management Plans) has been re-used and was originally published as module 8 of the EOSC synergy course: Bringing synergy to better data management and research in Europe - https://doi.org/10.5281/zenodo.5517465

Content

Registered lobbyists must complete a training held by the Ethics Commission within one year of their initial registration, as well as any additional training required by the Ethics Commission’s Executive Director. Lobbyists can satisfy this requirement by watching a web training video: https://sfethics.org/compliance/lobbyists/contact-lobbyists/training Upon completion of the filing, lobbyists must file the Certificate of Lobbyist Training form. This dataset represents the date and time a lobbyist filed the Certificate of Lobbyist Training form and includes forms filed as of January 1, 2018.

Data is updated automatically in this dataset as it is submitted and approved.

Context

This is a dataset hosted by the city of San Francisco. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore San Francisco's Data using Kaggle and all of the data sources available through the San Francisco organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Vladimir Malyutin on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

A recording of a one hour training session done for the State of Hawaii by Socrata. It covers what Open Data is all about, how others have used Open data to improve the relationship of government to citizens. It also explores the many features and uses of Open Data.

Two sample datasets created for training purposes from The Squirrel Census https://www.thesquirrelcensus.com/ hosted by NYC OpenData 2018 Central Park Squirrel Census - Squirrel Data | NYC Open Data, no reuse license specified.

TRAINING DATASET: Hands-On Formatting Data Part 1 (Download This File)

A one hour recording of the publisher training done for the State of Hawaii on July 6, 2012

List of training providers and training courses followed by Flemish training leave (VOV) with the number of employees aggregated per school year and broken down according to the following characteristics: name, company number, training name, registration type, registration number, start and end date of the training.Good to know - unique numbers: Training providers and courses can occur several times, if you want to know the number of unique training providers or courses you can make an extraction to MS Excel and then apply a PivotTable that calculates the "unique numbers" for the requested characteristics and (school) year.

With the launch of the State of Hawaii's Open Data portal, the State of Hawaii has now begun providing residents, analysts, and civic developers with unparalleled access to State data for use in increasing transparency, driving civic innovation, and engaging participants in a more collaborative form of government. Visitors to the site will find over 150 datasets organized by six major topics, with more datasets continuing to be added to the site: Data on the portal has been optimized so that users of varying technical ability will find the site easy to navigate and use. Residents, journalists and analysts will find that the data can easily be contextualized for various purposes using intuitive features built directly within the State of Hawaii's Open Data portal. Videos detailing how to sort, filter, visualize data can be found within the video guide section of the site. Developers wishing to use the data for civic innovation will benefit from the CKAN Open Data API, a fully-documented, RESTful, Application Programming Interface (API). For more information about the API powering the State of Hawaii's Open Data Portal, please visit the developer's page. State-of-the-art social data features enable participants to create a more collaborative form of government by commenting, discussing, and sharing datasets with other participants on the platform or to publish them on other social networks like Twitter or Facebook. Users of the site are encouraged to participate in the development and future direction of the site by suggesting datasets to be added to the platform. Click the link below to view training materials for Citizens, staff and administrators. https://opendata.hawaii.gov/pages/training Click the link below to view documentation on the CKAN API. https://docs.ckan.org/en/2.9/api/index.html Click the link below to view Open Data site statistics. https://opendata.hawaii.gov/stats