CIO defines IT processes and policies. The CIO defines the development processes, milestones, review gates, and the overall policies for all capital planning, enterprise architecture, and project management and reporting for IT resources. At a minimum, these processes shall ensure that the CIO certifies that IT resources are adequately implementing incremental development (as defined in the below definitions). The CIO should ensure that such processes and policies address each category of IT resources appropriately—for example, it may not be appropriate to apply the same process or policy to highly customized mission-specific applications and back office enterprise IT systems depending on the agency environment.

This dataset contains templates of policies and MoU's on data sharing. You can download the Word-templates and adapt the documents to your national context.

Following April 7, 2014 Executive Order from Mayor Walsh, an Open and Protected Data Policy was drafted to guide the City in defining, protecting, and ultimately making Open Data available and useful to the public. The policy provides working definitions for Open Data, along with information on how it is to be published, reviewed, and licensed.

The quality of methodology sections is the result of interaction between academic cultures of data sharing, effective application of rules, academic excellence and good quality Research Data Management (RDM).This data set is based on the coding of 66 published empirical articles that used data from at least one wave of the European Values Survey (http://dx.doi.org/10.4232/1.11005) and was published at least in pre-print form between 1984 and 2013. It tests for an article describing the methodology of data collection.

This data was collected by the Office of the National Coordinator for Health IT in coordination with Clinovations and the George Washington University Milken Institute of Public Health. ONC and its partners collected the data through research of state government and health information organization websites. The dataset provides policy and law details for four distinct policies or laws, and, where available, hyperlinks to official state records or websites. These four policies or laws are: 1) State Health Information Exchange (HIE) Consent Policies; 2) State-Sponsored HIE Consent Policies; 3) State Laws Requiring Authorization to Disclose Mental Health Information for Treatment, Payment, and Health Care Operations (TPO); and 4) State Laws that Apply a Minimum Necessary Standard to Treatment Disclosures of Mental Health Information.

Use this guide to find information on Tempe data policy and standards.Open Data PolicyEthical Artificial Intelligence (AI) PolicyEvaluation PolicyExpedited Data Sharing PolicyData Sharing Agreement (General)Data Sharing Agreement (GIS)Data Quality Standard and ChecklistDisaggregated Data StandardsData and Analytics Service Standard

The documents contained in this dataset reflect NASA's comprehensive IT policy in compliance with Federal Government laws and regulations.

By encouraging and requiring that authors share their data in order to publish articles, scholarly journals have become an important actor in the movement to improve the openness of data and the reproducibility of research. But how many social science journals encourage or mandate that authors share the data supporting their research findings? How does the share of journal data policies vary by discipline? What influences these journals’ decisions to adopt such policies and instructions? And what do those policies and instructions look like? We discuss the results of our analysis of the instructions and policies of 291 highly-ranked journals publishing social science research, where we studied the contents of journal data policies and instructions across 14 variables, such as when and how authors are asked to share their data, and what role journal ranking and age play in the existence and quality of data policies and instructions. We also attempt to compare our results to the results of other studies that have analyzed the policies of social science journals, although differences in the journals chosen and how each study defines what constitutes a data policy limit this comparison. We conclude that a little more than half of the journals in our study have data policies. A greater share of the economics journals have data policies and mandate sharing, followed by political science/international relations and psychology journals. Finally, we use our findings to make several recommendations: Policies should include the terms “data”, “dataset” or more specific terms that make it clear what to make available; policies should include the benefits of data sharing; journals, publishers, and associations need to collaborate more to clarify data policies; and policies should explicitly ask for qualitative data.

As of 2022, more than 90 percent of countries in the WHO European region reported having legislation to protect the privacy of an individual's health-related data in electronic format in an electronic health record (EHR). Moreover, 86 percent of countries have legislation allowing individuals electronic access to their health data in their EHRs.

A new database of 6124 policies at the intersection of agriculture and the environment. Implemented between 1960 and 2022 in over 200 countries. Comprises a wide range of types of policies (e.g., ranging from legislative changes to payments for ecosystem services), as well as a wide range of goals (e.g., from pesticide regulations to forest conservation). It allows to e.g. count such policies per country, filter to select specific policies, and to create policy indices, e.g. weighting countries' policies with contextual factors that enhance to hinder policy performance (e.g. policy budgets, enforcement, stringency, corruption).

The main database comes in the formats CSV, EXCEL, and DTA, country averages are provided in CSV and DTA, the dataset for the soil erosion policy analysis is provided in DTA and the code for the analysis is a DO-file.

The data consists in crawled privacy policies from European privacy policies. They were split into paragraphs and annotated as containing or not personal data.

The question that was asked to annotators was "Does this paragraph contain the explicit mention of specific personal data (e.g. name, phone number, social security, …) being collected?".

A full description of the dataset can be found in D3.4 of the SMOOTH project

As of December 2019, 72 percent of adults in the United States do not want political campaigns to be able to micro-target them through digital ads. Respondents to a survey of U.S. adults reported that internet companies should make no information about its users available to political campaigns in order to target certain voters with online advertisements. Additionally, 7 percent of U.S. adults say that any information should be made available for a campaign's use.

Central African Republic CF: CPIA: Policies for Social Inclusion/Equity Cluster Average: 1=Low To 6=High data was reported at 2.300 NA in 2023. This stayed constant from the previous number of 2.300 NA for 2022. Central African Republic CF: CPIA: Policies for Social Inclusion/Equity Cluster Average: 1=Low To 6=High data is updated yearly, averaging 2.300 NA from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 2.600 NA in 2012 and a record low of 2.200 NA in 2014. Central African Republic CF: CPIA: Policies for Social Inclusion/Equity Cluster Average: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Governance: Policy and Institutions. The policies for social inclusion and equity cluster includes gender equality, equity of public resource use, building human resources, social protection and labor, and policies and institutions for environmental sustainability.;World Bank Group, CPIA database (http://www.worldbank.org/ida).;Unweighted average;

In early 2020 a study was conducted among marketers in the United States to gauge their perception of the impact of privacy regulations on their companies' data strategies. According to 39 percent of responding marketers, the introduction of new privacy laws resulted in their company reducing the amount of customer tracking they performed. What is more, 32 percent said they changed or reduced audience targeting as a consequence of new regulations.

Science, as a knowledge-building enterprise, relies heavily on the communication of findings through scientific publications. Collaboration among researchers drives scientific progress, and open access, coupled with technological advancements, brings knowledge closer to society. At the global and national levels, measures are being implemented to promote data sharing, although differences persist between fields of knowledge, such as education, where there is a lack of evidence on sharing practices.

An analysis of the policies of 60 international education journals regarding data deposition reveals a variety of approaches and levels of specificity While progress has been made, this disparity suggests the need for standardization and clarity. The lack of incentives and specialized resources also hinders information sharing in education. Progress towards transparency and accessibility in educational research is evident, but a greater commitment from the scientific community is required to promote effective data management practices.

Policy Management Software Market Size And Forecast

Policy Management Software Market size was valued at USD 1.05 Billion in 2023 and is projected to reach USD 4.15 Billion by 2030, growing at a CAGR of 15.9% from 2024 to 2030.

Global Policy Management Software Market Drivers

The market drivers for the Policy Management Software Market can be influenced by various factors. These may include:

Needs for Regulatory Compliance: In order to maintain compliance with local, regional, and global regulations, organizations must employ policy management solutions due to the growing and changing regulatory requirements across a range of industries.
Privacy and Data Security Concerns: Organizations must establish strong policies and procedures in response to growing concerns about privacy and data security. To protect sensitive data, policy management software aids in managing and enforcing these regulations.

Risk Control: Companies look for efficient approaches to risk management and reduction. In order to provide proactive risk management, policy management software helps create and enforce policies that address potential hazards.

Organizations of Enterprises: Businesses encounter a variety of regulatory environments as they grow internationally. Organizations can explore and comply with a wide range of regulations across different areas with the use of policy management software.

Increasing Policy Complexity: Organizational internal policies and procedures are becoming more complex. Complex policy development, communication, and enforcement can be made more efficient with the use of policy management tools.

Technological Progress: Policy management software becomes more capable when cutting-edge technologies like machine learning (ML) and artificial intelligence (AI) are included into it. These technologies make it possible to monitor, enforce, and adjust policies to changing conditions more effectively.

Initiatives for Digital Transformation: Digital transformation initiatives frequently aim to automate and optimise several operations, one of which is policy management. Digital solutions can increase organizational agility overall, decrease human error rates, and increase efficiency.

Raising Knowledge of GRC (Governance, Risk, and Compliance): Organizations are encouraged to invest in integrated solutions, such as policy management software, in order to manage governance, risk, and compliance in a comprehensive manner as a result of the increased awareness of these critical areas of their operations.

Threats to Cybersecurity: Stricter security regulations must be put in place due to the growing frequency and sophistication of cybersecurity threats. To defend against threats, cybersecurity policies can be defined, communicated, and enforced with the help of policy management software.

Remote Employment and Mobile Availability: Policies that handle collaboration, data security, and remote access are more important as remote work becomes more common. In these kinds of situations, mobile accessibility-supporting policy management software becomes essential.

The purpose of this dataset is to summarize current community solar policies and low-income stipulations by state in the United States. The dataset is updated multiple times per year. The current version is the first file located below.

Previous versions of the dataset published before August of 2024 can be found in the dataset below labeled “ARCHIVE_State Policies and Programs for Community Solar_Before 08.24.“

This list has been reviewed, but errors may exist, and the list may not be comprehensive. NREL invites input to update or add to the database. Please submit updates, additions, and corrections to Kaifeng Xu (kaifeng.xu@nrel.gov) & Simon Sandler (simon.sandler@nrel.gov).

The QoG Institute is an independent research institute within the Department of Political Science at the University of Gothenburg. Overall 30 researchers conduct and promote research on the causes, consequences and nature of Good Governance and the Quality of Government - that is, trustworthy, reliable, impartial, uncorrupted and competent government institutions. The primary aim of QoG is to conduct and promote research on corruption. One aim of the QoG Institute is to make publicly available cross-national comparative data on QoG and its correlates.The aim of the QoG Social Policy Dataset is to promote cross-national comparative research on social policy output and its correlates, with a special focus on the connection between social policy and Quality of Government (QoG).

The main objective of our research is to address the theoretical and empirical problem of how political institutions of high quality can be created and maintained. A second objective is to study the effects of Quality of Government on a number of policy areas, such as health, the environment, social policy, and poverty.

The dataset was created as part of a research project titled “Quality of Government and the Conditions for Sustainable Social Policy”. The aim of the dataset is to promote cross-national comparative research on social policy output and its correlates, with a special focus on the connection between social policy and Quality of Government (QoG).

The data comes in three versions: one cross-sectional dataset, and two cross-sectional time-series datasets for a selection of countries. The two combined datasets are called “long” (year 1946-2009) and “wide” (year 1970-2005).

The data contains six types of variables, each provided under its own heading in the codebook: Social policy variables, Tax system variables, Social Conditions, Public opinion data, Political indicators, Quality of government variables.

QoG Social Policy Dataset can be downloaded from the Data Archive of the QoG Institute at http://qog.pol.gu.se/data/datadownloads/data-archive Its variables are now included in QoG Standard.

Samanni, Marcus. Jan Teorell, Staffan Kumlin, Stefan Dahlberg, Bo Rothstein, Sören Holmberg & Richard Svensson. 2012. The QoG Social Policy Dataset, version 4Apr12. University of Gothenburg:The Quality of Government Institute. http://www.qog.pol.gu.se