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Data Stewards Learning Program
A 5-Day Workshop for Civil Society Data Pioneers 

Description

  • Are you interested in creating an impact with the data your organization holds?
  • Do you have access to open data but don’t know how to use it?
  • Do you want to use data for social good through partnerships?

The Data Tank, in collaboration with The GovLab and Bertelsmann Stiftung, are bringing a 5-day intensive Data Stewards training to Berlin. The program takes place from June 10 to June 14 2024 and is free of charge for the selected participants. It aims to equip leaders in civil society with the requisite knowledge and skills to become responsible data stewards. During the course, participants will learn how to implement and develop responsible data practices that ensure ethical and legal compliance, while identifying and fostering data collaboration opportunities that increase the impact of data. Moreover, participants will receive coaching to develop a data re-use strategy and will have the chance to network with their peers, coaches, and professors. The program also combines field visits to leading data industry institutions for the participants to be able to see how data-driven initiatives are implemented in practice. By the end of the program, our future data stewards will comprehend how to identify and develop open data and data re-use initiatives and balance the opportunities and risks related to them.

Information Session

Thank you for joining us on April 25, 2024. In case you missed it, you can access the slides below.


Program Learning Goals 

Program Outline + Learning Modules

The evolution of the data industry calls for rethinking ways of maximizing the potential of data in a responsible and ethical manner. In principle, data is more meaningful when it is re-used and more accessible, as it also accelerates social good. The European Commission, having identified the power of data re-use and access, has released the Data Act & the Data Governance Act. Both acts play a vital role in laying the foundation for data re-use and access across the private and public sectors, and respectively provide implications for both. In order to better understand & navigate these shifts and successfully progress the third wave of open data, it is necessary to expand our skills in the data landscape.

The Data Stewards Learning Program is a community driven learning platform that equips data leaders with the necessary skills to make responsible data decisions and drive social change. By joining the program, you will gain new information and tools to develop an end-to-end data re-use strategy to solve public problems. Beyond using data for day-to-day and strategic decision-making, you will also learn how to build data-driven partnerships to pursue goals in the public interest.

Peer-to-peer learning is another important component of the Data Stewards Learning Program, as in the quest for innovation, it is always helpful to learn from other practices. When you access the Data Stewards Learning Program, you will also have access to a community of experts that are reshaping the data economy. 

Guest Speakers and Field Visits are two important components of the program. The participants will have the opportunity to visit leading data institutions in Berlin and hear more from distinguished experts in the field. The guest speakers’ profiles will range from civil society, academia, private and public sectors.

Learning Modules

Session 1:  Introduction to Data Stewardship

In this introductory session, we open up the stage going over the principles and benefits of opening up data and introduce the Data Stewards Canvas developed by The GovLab. The canvas will be used as a framework for building data stewardship practices in civil society, and will be the main foundation for the program. A use-case where data re-use is applied to a specific thematic area will also be further developed.

Session 2: Data Stewardship and the European Data Space

Following a discussion of the history of the open data movement, and the release of the European Data Act and the European Data Governance Act, we will discuss current approaches to data re-use in the European context. We will then shift to the implications for civil society in terms of compliance and advocacy in regard to these European policy developments. Deconstructing the data stewards canvas will follow in this session, focusing on formulating the data demand and questions that data helps answer. A use-case where data re-use is applied to a specific thematic area will be further developed.

Session 3: Understanding & Describing Data Supply 

This session will continue by deconstructing the data stewards canvas and focus on understanding and describing data supply. Identifying knowledge gaps will be another focus of this session. In addition, participants will be provided with the necessary tools to map out and assess data availability and quality in working groups. A use-case where data re-use is applied to a specific thematic area will be further developed.

Session 4: Matching Demand with Supply & Responsible Data Opening

After the data supply has been mapped out & identified, this session follows with matching demand with supply & deconstructing responsible data opening. Models and approaches for data collaboratives will be identified, while covering the essential components of data collaboration. Tools and techniques for opening up data will be covered while focusing on the open data landscape in Germany. A use-case where data re-use is applied to a specific thematic area will be further developed.

Session 5: Governance, Sustainability, and Strengthening Open Data Movement

The final session will focus on governance and sustainability, where we will explore governance frameworks, data sharing agreements, and technological infrastructure to institutionalize data re-use. Success stories on how civil society is harnessing open data will be discussed and analyzed using cases from Germany and beyond.

Course Details

Dr Stefaan G Verhulst

Dr Stefaan G Verhulst

Course Lead


Natalia Mejia Pardo

Natalia Mejia Pardo

Course Facilitator


Paulina Behluli

Paulina Behluli

Course Facilitator


Elena Kalogeropoulos

Elena Kalogeropoulos

Course Advisor


The Data Stewards Learning Program course will be taught in an interactive, on-site group setting in Berlin, Germany. The sessions will be facilitated by Dr. Stefaan Verhulst and Guest Faculty with a diverse background – ranging from civil society and the private and public sectors – bringing their real world experiences to this immersive learning journey. The Data Tank team is committed to making adjustments to meet the needs of course participants within reason. Please refer to the FAQs for more details regarding the course.

Requirements for Application: Potential participants must present a letter of support from a representative in their organization, explaining how their current position and mandate relates to this course. Additionally, participants must share an initial data reuse strategy to develop over the course (max. 250 words) and their current CV. These should be uploaded in the call for application section at the bottom of this page.

Date & Timing: The course will take place during the second week of June, from June 10th to June 14th 2024. Each session will start at 09:00 am (CET) with seminars and lectures during the mornings and field visits during afternoons with a one hour lunch break to be provided for the participants. The programme ends on Friday, June 14th during lunchtime. 

Time Commitment: This course consists of three hours of daily learning sessions and three additional hours of field visits and guest lecturers during the span of five working days. All participants are expected to be active participants in the course to support peer learning and maximize the experience with guest faculty and field visits.

Assignments: Assignments will be shared daily and are designed to further stimulate participants’ progress in the development of their data re-use strategy. Assignments are not expected to take more than 30 minutes daily to complete. 

Language: The course and all affiliated programming take place in German and English; course participants are expected to have proficient German language skills and basic to intermediate English level skills to ensure effective communication, participation in discussions, and comprehension of course materials.

Course Partners

FAQ

What is data stewardship?

Data stewardship is a function that makes data accessible and re-usable in a systematic, sustainable, and responsible way.

What are data stewards?

Data stewards are responsible data leaders from the public, private, and civil sectors seeking to create public value through data collaboration. 

What is the language of the intensive course / bootcamp?

The language of instruction will be English & German, whereas the group facilitation will be in German.

How much does the program cost?

The program is free of charge for the participants selected. 

Is my accommodation covered?

Unfortunately, your accommodation and/or travel to Berlin will not be covered, but we are happy to support you to find feasible prices.

Will I receive a certificate?

Yes, everyone who successfully completes the course will receive a personalized digital certificate of completion from The Data Tank, The GovLab, and Bertelsmann Stiftung.

Who should apply?

This course seeks to attract and develop highly talented aspiring data stewards who are interested in better incorporating data reuse into their operations. To kickstart the course, participation will be limited to a small cohort who already work on data collaboration issues or serve individuals tasked by their organization to act as data stewards. Ideal applicants will have several years of experience in a leadership role and demonstrate the capacity to work across sectors. Successful applicants could work in institutions such as:

  • International Organizations
  • Leading Nonprofits and Philanthropies Supporting Data and Governance Innovation
  • Nonprofit Research Organizations that seek to act as trusted intermediaries
  • Nonprofit Foundations and Associations 
  • Community based organizations
  • NGOs working on the data landscape
  • Nonprofit media organizations. 
Criteria for Participation
  • Applicants must apply and participate in the course in a professional capacity
  • Participation can be at the individual level and a team level (up to 2 people per team)
  • Applicants must be working professionals holding a managerial or other senior role
  • Course participants must be prepared to work on assignments every day, as such assignments are necessary to develop a data collaboration and reuse strategy during the course
  • Individuals must have capacity to attend all sessions in the 1-week course; courses take place on site from June 10 – June 14 2024 from 09:00 am.
How long is the course? What is the time commitment?

Date & Timing: The course will take place during the second week of June, from June 10th to June 14th 2024. Each session will start at 09:00 am (CET) with seminars and lectures during the mornings and field visits during afternoons with a one hour lunch break to be provided for the participants. The programme ends on Friday, June 14th during lunchtime.

Time Commitment: This course consists of three hours of daily learning sessions and three additional hours of field visits and guest lecturers during the span of five working days. All participants are expected to be active participants in the course to support peer learning and maximize the experience with guest faculty and field visits.

Assignments: Assignments will be shared daily and are designed to further stimulate participants’ progress in the development of their data re-use strategy. Assignments are not expected to take more than 30 minutes daily to complete. 

Language: The course and all affiliated programming take place in German and English; course participants are expected to have proficient German language skills and basic to intermediate English level skills to ensure effective communication, participation in discussions, and comprehension of course materials.

The Data Tank
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