Three years after its official launch in April 2016, the data.public.lu portal has currently more than 800 published datasets and references nearly 110 reuses with the participation of 120 organizations. After a first experience in 2018, Luxembourg Institute of Science and Technology (LIST) was mandated in 2019 to conduct an evaluation of the impact of Open Data in Luxembourg. In order to better understand its users and stay tuned to their expectations in terms of content and functionality, a satisfaction survey was conducted. Open Data is grounded on the openness

LearnPlatform is a unique technology platform in the K-12 market providing the only broadly interoperable platform to the breadth of edtech solutions in the US K12 field. A key component of edtech effectiveness is integrated reporting on tool usage and, where applicable, evidence of efficacy. With COVID closures, LearnPlatform has emerged as an important and singular resource to measure whether students are accessing digital resources within distance learning constraints. This platform provides a unique and needed source of data to understand if students are accessing digital resources, and where resources have disparate usage and impact.In this dataset we are sharing educational technology usage across the 8,000+ tools used in the education field in 2020. We make this dataset available to public so that educators, district leaders, researchers, institutions, policy-makers or anyone interested to learn about digital learning in 2020, can use this dataset to understand student engagement with core learning activities during the COVID-19 pandemic. Some example research questions that this dataset can help stakeholders answer: What is the picture of digital connectivity and engagement in 2020?What is the effect of the COVID-19 pandemic on online and distance learning, and how might this evolve in the future?How does student engagement with different types of education technology change over the course of the pandemic?How does student engagement with online learning platforms relate to different geography? Demographic context (e.g., race/ethnicity, ESL, learning disability)? Learning context? Socioeconomic status?Do certain state interventions, practices or policies (e.g., stimulus, reopening, eviction moratorium) correlate with increases or decreases in online engagement?

Full dataset to replicate analyses for the article: "Do government invitations to consultations shape stakeholder participation in public policymaking?". Dataset "EJPR_data.RData" denotes the full dataset for the analyses and Figures of the article, it contains information about participatory patterns and stakeholder diversity across the Norwegian government's public consultations, as well as information about the number of invitations, initiative type, policy area, consultation length, time trend and ministries. Dataset EJPR_data_fig1.RData is necessary in order to recreate Figure 1 of the article and contains summary information about the participation of different stakeholder types across ministries. The file EJPR_replication.R contains the r-script used to run the analyses and create the figures. The dataset was compiled from public records of Norwegian government consultations, including stakeholder submissions, invitation lists, and policy documents. The dataset contains information about all government consultations between 2009 and 2013. Aritcle abstract: Online public consultations are an instrument frequently used by governments to invite citizens and interest organisations to participate in the formulation of public policies. A key feature of the consultation design is the prerogative of policymakers to send formal invitations to consultations to stakeholders. The extent to which these invitations shape the patterns of stakeholder participation in online consultations is a relevant theoretical and empirical research puzzle that remains largely overlooked in the literature on participatory governance and bureaucratic policymaking. Our study addresses this gap in research and asks: do government invitations to consultations increase the levels and diversity of stakeholder participation in online public consultations? We explain when and why the number of government invitations is systematically associated with higher levels of participation and diversity of stakeholder interests and how this systematic co-variation is conditional upon the policy act type on which the government consults. We test our argument on a new dataset containing information about 251,153 instances of stakeholder participation in 4,062 online public consultations organised by the Norwegian government across all policy areas during 2009-2023. We find that a higher number of government invitations is systematically associated with significantly higher stakeholder participation, higher diversity of interests represented, and a higher likelihood of and more frequent citizen participation. This positive association is, however, moderate in size and is also conditional upon policy act type. Invitations increase participation and stakeholder diversity more in consultations on legislative acts and government reports relative to all other acts. These are acts on which the demand for stakeholder participation successfully meets stakeholders’ interest in supplying it. Our study underscores the importance of government invitations as a relevant feature of consultation design that shapes patterns of participation in public consultations while accounting for the impact of the policy context in which consultations are organised.

This dataset provides survey responses from 240 people surveyed as part of the "Investigating the Impact of Kenya’s Open Data Initiative on Marginalized Communities: Case Study of Urban Slums and Rural Settlements" project.

The data, collected in mid-2013 looks at issues of where citizens look for data, and how successful they have been in getting government information from different sources, as well as their awareness of the Kenya open data portal, and their interest in getting information through different digital channels in future.

Descriptive statistics have been analysed in the publication "Open Government Data for Effective Public Participation: Findings of a Case Study Research Investigating The Kenya's Open Data Initiative in Urban Slums and Rural Settlements", but no further analysis has yet been carried out.

Data descriptions

The Codebook.csv file lists variable names and the questions asked to elicit each response.

JHC-Data.csv contains the results from the questionnaires collected through structured in-person interview in the three locations. The questionnaires were administered at chiefs centres, community resource centres, constituency development fund office and religious centres). The questionnaires were filled in by every 2nd these centres.

More information

More information on the research project can be found at http://opendataresearch.org/project/2013/jhc

Ethical Data ManagementExecutive SummaryIn the age of data and information, it is imperative that the City of Virginia Beach strategically utilize its data assets. Through expanding data access, improving quality, maintaining pace with advanced technologies, and strengthening capabilities, IT will ensure that the city remains at the forefront of digital transformation and innovation. The Data and Information Management team works under the purpose:“To promote a data-driven culture at all levels of the decision making process by supporting and enabling business capabilities with relevant and accurate information that can be accessed securely anytime, anywhere, and from any platform.”To fulfill this mission, IT will implement and utilize new and advanced technologies, enhanced data management and infrastructure, and will expand internal capabilities and regional collaboration.Introduction and JustificationThe Information technology (IT) department’s resources are integral features of the social, political and economic welfare of the City of Virginia Beach residents. In regard to local administration, the IT department makes it possible for the Data and Information Management Team to provide the general public with high-quality services, generate and disseminate knowledge, and facilitate growth through improved productivity.For the Data and Information Management Team, it is important to maximize the quality and security of the City’s data; to develop and apply the coherent management of information resources and management policies that aim to keep the general public constantly informed, protect their rights as subjects, improve the productivity, efficiency, effectiveness and public return of its projects and to promote responsible innovation. Furthermore, as technology evolves, it is important for public institutions to manage their information systems in such a way as to identify and minimize the security and privacy risks associated with the new capacities of those systems.The responsible and ethical use of data strategy is part of the City’s Master Technology Plan 2.0 (MTP), which establishes the roadmap designed by improve data and information accessibility, quality, and capabilities throughout the entire City. The strategy is being put into practice in the shape of a plan that involves various programs. Although these programs was specifically conceived as a conceptual framework for achieving a cultural change in terms of the public perception of data, it basically covers all the aspects of the MTP that concern data, and in particular the open-data and data-commons strategies, data-driven projects, with the aim of providing better urban services and interoperability based on metadata schemes and open-data formats, permanent access and data use and reuse, with the minimum possible legal, economic and technological barriers within current legislation.Fundamental valuesThe City of Virginia Beach’s data is a strategic asset and a valuable resource that enables our local government carry out its mission and its programs effectively. Appropriate access to municipal data significantly improves the value of the information and the return on the investment involved in generating it. In accordance with the Master Technology Plan 2.0 and its emphasis on public innovation, the digital economy and empowering city residents, this data-management strategy is based on the following considerations.Within this context, this new management and use of data has to respect and comply with the essential values applicable to data. For the Data and Information Team, these values are:Shared municipal knowledge. Municipal data, in its broadest sense, has a significant social dimension and provides the general public with past, present and future knowledge concerning the government, the city, society, the economy and the environment.The strategic value of data. The team must manage data as a strategic value, with an innovative vision, in order to turn it into an intellectual asset for the organization.Geared towards results. Municipal data is also a means of ensuring the administration’s accountability and transparency, for managing services and investments and for maintaining and improving the performance of the economy, wealth and the general public’s well-being.Data as a common asset. City residents and the common good have to be the central focus of the City of Virginia Beach’s plans and technological platforms. Data is a source of wealth that empowers people who have access to it. Making it possible for city residents to control the data, minimizing the digital gap and preventing discriminatory or unethical practices is the essence of municipal technological sovereignty.Transparency and interoperability. Public institutions must be open, transparent and responsible towards the general public. Promoting openness and interoperability, subject to technical and legal requirements, increases the efficiency of operations, reduces costs, improves services, supports needs and increases public access to valuable municipal information. In this way, it also promotes public participation in government.Reuse and open-source licenses. Making municipal information accessible, usable by everyone by default, without having to ask for prior permission, and analyzable by anyone who wishes to do so can foster entrepreneurship, social and digital innovation, jobs and excellence in scientific research, as well as improving the lives of Virginia Beach residents and making a significant contribution to the city’s stability and prosperity.Quality and security. The city government must take firm steps to ensure and maximize the quality, objectivity, usefulness, integrity and security of municipal information before disclosing it, and maintain processes to effectuate requests for amendments to the publicly-available information.Responsible organization. Adding value to the data and turning it into an asset, with the aim of promoting accountability and citizens’ rights, requires new actions, new integrated procedures, so that the new platforms can grow in an organic, transparent and cross-departmental way. A comprehensive governance strategy makes it possible to promote this revision and avoid redundancies, increased costs, inefficiency and bad practices.Care throughout the data’s life cycle. Paying attention to the management of municipal registers, from when they are created to when they are destroyed or preserved, is an essential part of data management and of promoting public responsibility. Being careful with the data throughout its life cycle combined with activities that ensure continued access to digital materials for as long as necessary, help with the analytic exploitation of the data, but also with the responsible protection of historic municipal government registers and safeguarding the economic and legal rights of the municipal government and the city’s residents.Privacy “by design”. Protecting privacy is of maximum importance. The Data and Information Management Team has to consider and protect individual and collective privacy during the data life cycle, systematically and verifiably, as specified in the general regulation for data protection.Security. Municipal information is a strategic asset subject to risks, and it has to be managed in such a way as to minimize those risks. This includes privacy, data protection, algorithmic discrimination and cybersecurity risks that must be specifically established, promoting ethical and responsible data architecture, techniques for improving privacy and evaluating the social effects. Although security and privacy are two separate, independent fields, they are closely related, and it is essential for the units to take a coordinated approach in order to identify and manage cybersecurity and risks to privacy with applicable requirements and standards.Open Source. It is obligatory for the Data and Information Management Team to maintain its Open Data- Open Source platform. The platform allows citizens to access open data from multiple cities in a central location, regional universities and colleges to foster continuous education, and aids in the development of data analytics skills for citizens. Continuing to uphold the Open Source platform with allow the City to continually offer citizens the ability to provide valuable input on the structure and availability of its data. Strategic areasIn order to deploy the strategy for the responsible and ethical use of data, the following areas of action have been established, which we will detail below, together with the actions and emblematic projects associated with them.In general, the strategy pivots on the following general principals, which form the basis for the strategic areas described in this section.Data sovereigntyOpen data and transparencyThe exchange and reuse of dataPolitical decision-making informed by dataThe life cycle of data and continual or permanent accessData GovernanceData quality and accessibility are crucial for meaningful data analysis, and must be ensured through the implementation of data governance. IT will establish a Data Governance Board, a collaborative organizational capability made up of the city’s data and analytics champions, who will work together to develop policies and practices to treat and use data as a strategic asset.Data governance is the overall management of the availability, usability, integrity and security of data used in the city. Increased data quality will positively impact overall trust in data, resulting in increased use and adoption. The ownership, accessibility, security, and quality, of the data is defined and maintained by the Data Governance Board.To improve operational efficiency, an enterprise-wide data catalog will be created to inventory data and track metadata from various data sources to allow for rapid data asset discovery. Through the data catalog, the city will

The data set contains the survey questions used to evaluate the Open Government Data-Citizen Engagement Model (OGD-CEM). Two versions of the questionnaire were uploaded: one in English and another one in Indonesian. The questionnaire was used to collect data from international open data users to understand the factors that influence their intention to engage with OGD. It is a supplement of the dissertation titled "Citizen Engagement with Open Government Data: A Model for Analyzing Factors Influencing Citizen Engagement."

Public participation in governance involves the direct or indirect involvement of stakeholders in decision-making about policies, plans or programs in which they have an interest. This chapter explores the theories illuminating key concerns, namely what constitutes legitimate and useful public participation; the relationships among diversity, representation, and inclusion; the appropriate influence of different kinds of knowledge; and how to align participation methods and contexts. We describe two areas needing additional theoretical development: what levels of participation are desirable and workable, and the threats and opportunities for participation posed by increasingly diffuse systems of governance.

A guideline on the on EIA.

These draft Regional Guidelines on Public Participation in Environmental Impact Assessment (EIA) have been collaboratively developed by the Regional Technical Working Group (RTWG) on EIA comprised of 25 government and non-government members from Cambodia, Lao PDR, Myanmar, Thailand, and Vietnam, and are now being made publicly available for feedback and comment from interested stakeholders. These regional EIA guidelines have been developed in response to the shared concern for increasing meaningful public participation in development planning, in the context of increasing investment projects across the Mekong region. Their purpose is to provide practical guidance for implementing meaningful public participation in the EIA process in the Mekong region, in order to enhance the efficiency and effectiveness of the EIA process, while reducing risks for projects as well as all stakeholders involved. The use of the guideline is envisioned to result in improved, sustainable, and more equitable development outcomes.

Public institutions, in their daily work, generate a resource of incalculable value, which reflects all their actions and activities: budget management, economy, energy, climate, health, environment, agriculture, public safety, society, culture, among many others. This resource is information, which is normally generated and archived in the various instances and media where it accumulates without defined objectives. The release or opening of all information, with some exceptions, generated by the institutions results in government open data - GOD. This data is made available to citizens without access restrictions, for their free use, reuse, and redistribution, which implies that the data is released in formats processable by computer equipment. By allowing citizens to access all the data of public institutions in a simple way, a positive impact is created on society, democracy is perfected due to higher levels of participation, interaction, and commitment between government and society. Beyond the simplification of procedures – e-government, and transparency – partial openness in compliance with the law, open data reflects effective visibility and institutional accountability; it opens up a whole universe to citizens, capable of taking advantage of this opportunity to create new information products and applications in favor of society. Access to open data stimulates creativity and enables innovators and entrepreneurs to create derivative works with their consequent impact on society, by creating new data, knowledge, and services. To publish your datasets, log in here. All trademarks referenced herein are the property of their respective owners. All rights reserved. Translated from Spanish Original Text: Las instituciones públicas en su quehacer cotidiano generan un recurso de valor incalculable, el cual refleja todas las acciones y actividades de estas: manejo del presupuesto, economía, energía, clima, salud, medio ambiente, agricultura, seguridad pública, sociedad, cultura, entre muchos otros. Este recurso es la información, la cual normalmente se genera y archiva en las distintas instancias y medios donde se acumula sin objetivos definidos. La liberación o apertura de toda la información, salvo algunas excepciones, que generan las instituciones da como resultado los datos abiertos de gobierno - DAG. Estos datos se ponen a disposición del ciudadano sin restricción de acceso, para su libre uso, re-utilización y redistribución, lo que supone que los datos sean liberados en formatos procesables por los equipos informáticos. Al permitir al ciudadano acceder a todos los datos de las instituciones públicas en forma simple se crea un impacto positivo en la sociedad, se perfecciona la democracia debido a los mayores niveles de participación, interacción y compromiso entre gobierno y sociedad. Más allá de la simplificación de los trámites – gobierno electrónico, y la transparencia – apertura parcial en cumplimiento de la ley, los datos abiertos reflejan una efectiva visibilidad y rendición de cuentas institucional; abren todo un universo a los ciudadanos, capaces de aprovechar esta oportunidad para crear nuevos productos de información y aplicaciones en favor de la sociedad. El acceso a datos abiertos estimula la creatividad y posibilita a innovadores y emprendedores realizar obras derivadas con su consecuente impacto en la sociedad, al crear nuevos datos, conocimientos y servicios. Para publicar sus conjuntos de datos inicie sesión aquí. Todas las marcas comerciales a las que se hace referencia en este documento son propiedad de sus respectivos dueños. Reservados todos los derechos.

We analyze the decision whether to participate and where and what to study in a public system of higher education, based on a unique dataset of all eligible high school pupils in an essentially closed region (Flanders). We find that pupils perceive the available institutions and programs as close substitutes relative to the outside option. This implies an ambiguous role for travel costs: they hardly affect the participation decision, but have a strong impact on the decision where and what to study. To illustrate how our empirical results can inform the debate on reforming public systems, we assess the effects of tuition fee increases. Uniform cost-based tuition fee increases achieve most of the welfare gains; the additional gains from fee differentiation are relatively limited. These welfare gains are quite large under conservative assumptions on the social cost of public funds, and there is a substantial redistribution from students to outsiders.

Collaboratory is a software product developed and maintained by HandsOn Connect Cloud Solutions. It is intended to help higher education institutions accurately and comprehensively track their relationships with the community through engagement and service activities. Institutions that use Collaboratory are given the option to opt-in to a data sharing initiative at the time of onboarding, which grants us permission to de-identify their data and make it publicly available for research purposes. HandsOn Connect is committed to making Collaboratory data accessible to scholars for research, toward the goal of advancing the field of community engagement and social impact.Collaboratory is not a survey, but is instead a dynamic software tool designed to facilitate comprehensive, longitudinal data collection on community engagement and public service activities conducted by faculty, staff, and students in higher education. We provide a standard questionnaire that was developed by Collaboratory’s co-founders (Janke, Medlin, and Holland) in the Institute for Community and Economic Engagement at UNC Greensboro, which continues to be closely monitored and adapted by staff at HandsOn Connect and academic colleagues. It includes descriptive characteristics (what, where, when, with whom, to what end) of activities and invites participants to periodically update their information in accordance with activity progress over time. Examples of individual questions include the focus areas addressed, populations served, on- and off-campus collaborators, connections to teaching and research, and location information, among others.The Collaboratory dataset contains data from 45 institutions beginning in March 2016 and continues to grow as more institutions adopt Collaboratory and continue to expand its use. The data represent over 6,200 published activities (and additional associated content) across our user base.Please cite this data as:Medlin, Kristin and Singh, Manmeet. Dataset on Higher Education Community Engagement and Public Service Activities, 2016-2023. Collaboratory [producer], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-07-07. https://doi.org/10.3886/E136322V1When you cite this data, please also include: Janke, E., Medlin, K., & Holland, B. (2021, November 9). To What End? Ten Years of Collaboratory. https://doi.org/10.31219/osf.io/a27nb

This article conceptualizes the concepts of Citizen Participation, Transparency, and Accountability in Vietnam. In the contested debates of the link between citizen participation and the two governance aspects, transparency and accountability, the article realizes the importance of achieving the balance from both sides of practice, as well as strengthen institutions that can reduce inefficiency and have real effectiveness.

The global digital government services market is experiencing robust growth, driven by increasing government initiatives to enhance citizen engagement, improve service delivery, and optimize operational efficiency. The market, estimated at $50 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $150 billion by 2033. Key drivers include the rising adoption of cloud computing, big data analytics, and artificial intelligence (AI) to improve data management, personalize citizen services, and enhance decision-making. The shift towards open data initiatives, fostering transparency and citizen participation, is further fueling market expansion. Government data asset management and government big data governance are prominent segments, accounting for a significant portion of market revenue. North America currently holds the largest market share, followed by Europe and Asia Pacific, but Asia Pacific is expected to exhibit the fastest growth rate due to increasing digitalization efforts and substantial government investments in digital infrastructure across countries like India and China. Challenges remain, including data security concerns, legacy system integration difficulties, and the need for skilled personnel to manage complex digital systems. However, ongoing technological advancements and increasing government investments are expected to mitigate these challenges, sustaining the market's strong growth trajectory. The market segmentation reveals a strong demand for solutions across various government levels – central, local, and other agencies. The "other" application segment includes various specialized government bodies adopting digital transformation strategies. Similarly, within the types segment, "Other" encompasses emerging technologies and services contributing to the overall growth. Leading companies like Granicus, Accenture, and NEC Corporation are actively shaping the market landscape through innovative solutions and strategic partnerships. The competitive landscape is characterized by a mix of established players and emerging technology providers, leading to continuous innovation and the development of more sophisticated and integrated digital government solutions. Regional variations in digital infrastructure and government policies influence adoption rates, creating opportunities for tailored solutions and market penetration strategies. Continued focus on improving cybersecurity, data privacy, and interoperability will be critical for maintaining market trust and sustained growth.

This paper explores the relationship between the e-participation attitude of citizens and the size of the shadow economy, whose consequences could be detrimental to countries’ economic development. We exploit a rich panel dataset for 149 countries characterized by a large digital divide within their public sectors, different levels of both income and democratic institutions at work over years 2003–2015. Using the instrumental variables approach to address potential endogeneity issues, we find that e-participation significantly contributes to reducing the shadow economy. Due to its interactive nature for both businesses and citizens, it positively affects the individuals’ behavior against informal economic activities by creating a more collaborative environment between the government and its stakeholders.

This data set presents the non-mandatory responses of 129 stakeholders in four South African Environmental Impact Assessments. the research was conducted between 2014 and 2015. The responses indicate stockholder's self-assessed capabilities for achieving meaningful public participation and reflects their participation experiences.

In order to facilitate public review and access, enrollment data published on the Open Data Portal is provided as promptly as possible after the end of each month or year, as applicable to the data set. Due to eligibility policies and operational processes, enrollment can vary slightly after publication. Please be aware of the point-in-time nature of the published data when comparing to other data published or shared by the Department of Social Services, as this data may vary slightly. As a general practice, for monthly data sets published on the Open Data Portal, DSS will continue to refresh the monthly enrollment data for three months, after which time it will remain static. For example, when March data is published the data in January and February will be refreshed. When April data is published, February and March data will be refreshed, but January will not change. This allows the Department to account for the most common enrollment variations in published data while also ensuring that data remains as stable as possible over time. In the event of a significant change in enrollment data, the Department may republish reports and will notate such republication dates and reasons accordingly. In March 2020, Connecticut opted to add a new Medicaid coverage group: the COVID-19 Testing Coverage for the Uninsured. Enrollment data on this limited-benefit Medicaid coverage group is being incorporated into Medicaid data effective January 1, 2021. Enrollment data for this coverage group prior to January 1, 2021, was listed under State Funded Medical. Effective January 1, 2021, this coverage group have been separated: (1) the COVID-19 Testing Coverage for the Uninsured is now G06-I and is now listed as a limited benefit plan that rolls up into “Program Name” of Medicaid and “Medical Benefit Plan” of HUSKY Limited Benefit; (2) the emergency medical coverage has been separated into G06-II as a limited benefit plan that rolls up into “Program Name” of Emergency Medical and “Medical Benefit Plan” of Other Medical. An historical accounting of enrollment of the specific coverage group starting in calendar year 2020 will also be published separately. This data represents number of active recipients who received benefits of a certain assistance type in that calendar year and month. A recipient may have received benefits of multiple types in the same month; if so that recipient will be included in multiple categories in this dataset (counted more than once.) 2021 is a partial year. For privacy considerations, a count of zero is used for counts less than five. NOTE: On April 22, 2019 the methodology for determining HUSKY A Newborn recipients changed, which caused an increase of recipients for that benefit starting in October 2016. We now count recipients recorded in the ImpaCT system as well as in the HIX system for that assistance type, instead using HIX exclusively. Also, corrections in the ImpaCT system for January and February 2019 caused the addition of around 2000 and 3000 recipients respectively, and the counts for many types of assistance (e.g. SNAP) were adjusted upward for those 2 months. Also, the methodology for determining the address of the recipients changed: 1. The address of a recipient in the ImpaCT system is now correctly determined specific to that month instead of using the address of the most recent month. This resulted in some shuffling of the recipients among townships starting in October 2016. 2. If, in a given month, a recipient has benefit records in both the HIX system and in the ImpaCT system, the address of the recipient is now calculated as follows to resolve conflicts: Use the residential address in ImpaCT if it exists, else use the mailing address in ImpaCT if it exists, else use the address in HIX. This resulted in a reduction in counts for most townships starting in March 2017 because a single address is now used instead of two when the systems do not agree. NOTE: On February 14 2019, the enro

Collaboratory is a software product developed and maintained by HandsOn Connect Cloud Solutions. It is intended to help higher education institutions accurately and comprehensively track their relationships with the community through engagement and service activities. Institutions that use Collaboratory are given the option to opt-in to a data sharing initiative at the time of onboarding, which grants us permission to de-identify their data and make it publicly available for research purposes. HandsOn Connect is committed to making Collaboratory data accessible to scholars for research, toward the goal of advancing the field of community engagement and social impact.Collaboratory is not a survey, but is instead a dynamic software tool designed to facilitate comprehensive, longitudinal data collection on community engagement and public service activities conducted by faculty, staff, and students in higher education. We provide a standard questionnaire that was developed by Collaboratory’s co-founders (Janke, Medlin, and Holland) in the Institute for Community and Economic Engagement at UNC Greensboro, which continues to be closely monitored and adapted by staff at HandsOn Connect and academic colleagues. It includes descriptive characteristics (what, where, when, with whom, to what end) of activities and invites participants to periodically update their information in accordance with activity progress over time. Examples of individual questions include the focus areas addressed, populations served, on- and off-campus collaborators, connections to teaching and research, and location information, among others.The Collaboratory dataset contains data from 37 institutions beginning in March 2016and continues to grow as more institutions adopt Collaboratory and continue to expand its use. The data represent over 3,600 published activities (and additional associated content) across our user base.Please cite this data as:Medlin, Kristin and Seto, Matthew. Dataset on Higher Education Community Engagement and Public Service Activities, 2016-2021. Collaboratory [producer], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-11-01. doi: _v1.When you cite this data, please also include: ORIGINS PAPER CITATION

Replication data and code for Anzia, Sarah F., "When Does a Group of Citizens Influence Policy? Evidence from Senior Citizen Participation in City Politics."