TRSP Desirable Characteristics

TRSP Desirable Characteristics

TRSP Desirable Characteristics Data governance should take into account the potential future use and future harm based on ethical frameworks grounded in the values and principles of the relevant Indigenous community. Metadata should acknowledge the provenance and purpose and any limitations or obligations in secondary use inclusive of issues of consent.

TRSP Desirable Characteristics Ethical processes address imbalances in power, resources, and how these affect the expression of Indigenous rights and human rights. Ethical processes must include representation from relevant Indigenous communities

TRSP Desirable Characteristics Ethical data are data that do not stigmatise or portray Indigenous Peoples, cultures, or knowledges in terms of deficit. Ethical data are collected and used in ways that align with Indigenous ethical frameworks and with rights affirmed in UNDRIP. Assessing ethical benefits and harms should be done from the perspective of the Indigenous Peoples, nations, or communities to whom the data relate

TRSP Desirable Characteristics Resources must be provided to generate data grounded in the languages, worldviews, and lived experiences (including values and principles) of Indigenous Peoples.

TRSP Desirable Characteristics Use of Indigenous data invokes a reciprocal responsibility to enhance data literacy within Indigenous communities and to support the development of an Indigenous data workforce and digital infrastructure to enable the creation, collection, management, security, governance, and application of data

TRSP Desirable Characteristics Indigenous Peoples have the right to develop cultural governance protocols for Indigenous data and be active leaders in the stewardship of, and access to, Indigenous data especially in the context of Indigenous Knowledge

TRSP Desirable Characteristics Indigenous Peoples have the right to data that are relevant to their world views and empower self-determination and effective self-governance. Indigenous data must be made available and accessible to Indigenous nations and communities in order to support Indigenous governance.

TRSP Desirable Characteristics Indigenous Peoples have rights and interests in both Indigenous Knowledge and Indigenous data. Indigenous Peoples have collective and individual rights to free, prior, and informed consent in the collection and use of such data, including the development of data policies and protocols for collection.

TRSP Desirable Characteristics Indigenous data are grounded in community values, which extend to society at large. Any value created from Indigenous data should benefit Indigenous communities in an equitable manner and contribute to Indigenous aspirations for wellbeing.

TRSP Desirable Characteristics Data enrich the planning, implementation, and evaluation processes that support the service and policy needs of Indigenous communities. Data also enable better engagement between citizens, institutions, and governments to improve decision-making. Ethical use of open data has the capacity to improve transparency and decision-making by providing Indigenous nations and communities with a better understanding of their peoples, territories, and resources. It similarly can provide greater insight into third-party policies and programs affecting Indigenous Peoples.

TRSP Desirable Characteristics Governments and institutions must actively support the use and reuse of data by Indigenous nations and communities by facilitating the establishment of the foundations for Indigenous innovation, value generation, and the promotion of local self-determined development processes

TRSP Desirable Characteristics Indigenous Peoples’ rights and wellbeing should be the primary concern.

TRSP Desirable Characteristics Data ecosystems shall be designed and function in ways that enable Indigenous Peoples to derive benefit from the data.

TRSP Desirable Characteristics Indigenous Peoples’ rights and interests in Indigenous data must be recognised and their authority to control such data be empowered. Indigenous data governance enables Indigenous Peoples and governing bodies to determine how Indigenous Peoples, as well as Indigenous lands, territories, resources, knowledges and geographical indicators, are represented and identified within data.

TRSP Desirable Characteristics Those working with Indigenous data have a responsibility to share how those data are used to support Indigenous Peoples’ self determination and collective benefit. Accountability requires meaningful and openly available evidence of these efforts and the benefits accruing to Indigenous Peoples.

No mention of how to authenticate the deployment, which is disappointing. See the repository for more.

• https://github.com/salto-io/salesforce-ci-cd-org-dev/blob/ca2177829b49b0fce1167ad4c93ea0190293f9ad/.github/workflows/push-master-branch.yml#L40C22-L40C97
• https://developer.salesforce.com/docs/atlas.en-us.sfdx_cli_reference.meta/sfdx_cli_reference/cli_reference_org_commands_unified.htm#cli_reference_org_login_sfdx-url_unified

Deployment: Significance of Branching for Continuous Delivery

The deployment of software in DevOps is based on Continuous Delivery. Continuous Delivery enables all kinds of changes, including new features, configuration changes, bug fixes and experiments, to be put into production safely and quickly in a sustainable manner. A Branching strategy and Base Truncs play an important role in this.

Model deployment in Azure ML

On the technical front, the number of components affected is much smaller; on the business front, it's usually a much easier conversation to persuade the team to roll back one small feature than twenty big features

Optimising covid-19 vaccine uptake—Time for a more nuanced approach. (2021, April 30). The BMJ. https://blogs.bmj.com/bmj/2021/04/30/optimising-covid-19-vaccine-uptake-time-for-a-more-nuanced-approach/

Guidance on developing a national deployment and vaccination plan for COVID-19 vaccines. (n.d.). Retrieved January 21, 2021, from https://www.who.int/publications-detail-redirect/WHO-2019-nCoV-Vaccine_deployment-2020.1

Europe, W. H. O. R. O. for. (2020). Strategic considerations in preparing for deployment of COVID-19 vaccine and vaccination in the WHO European Region, 9 October 2020. https://apps.who.int/iris/handle/10665/335940

Newrelic deployment markers can also be generated via a post request although it's generally simpler to use the agent specific method.

Since Hypothesis uses a server side config I'm not sure what to do here as there is no config file to provide. 🤔

If it turns out this isn't feasible (although I'm sure there's a solution for this config_file issue) the alternative approach would be to use the post method.

To enable recording of deploys on the python agent via New Relic, you can simply call the newrelic-admin record-deploy command and pass it the necessary revision information. This will place a deployment marker on any graph you view in newrelic as a vertical line-indicating that a new revision of the code was released at that point in time.

Excelente para você entender, na prática, sobre Cloud Deployment (um de nossos importantes subtópicos!). Além disso, vai sair da palestra com mais ferramentas para seu cinto de utilidades!

Push a local non-master branch to heroku master