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A data cooperative is a group of individuals voluntarily pooling together their data. [1] As an entity, a data cooperative is a type of data infrastructure, formed through the voluntary and collaborative pooling efforts of individuals. Data cooperatives allow individuals to get paid for the data they create and to exercise more pricing power than they would have on their own or in an- other type of data exchange. Examples include cooperatives of music artists, video producers, and gig workers. The income is not a subsidy, but rather the result of individual economic activity channeled through exchanges that aggregate the data of producers and workers, thereby turning individuals into data entrepreneurs. [2] As a data infrastructure, data cooperatives are created, owned and operated by community members, and this enables the communities, and its members, to have full control over their data, and the decisions that are made by the insights gathered from the data. [3] By giving individual community members control over their data, data cooperatives are a new and innovative type of data infrastructure, that act as a counter weight against data brokers and data driven corporations. [3]
One key aspect of data cooperatives is that the individual members of a data cooperative have control and legal ownership over their data. [1] As a key aspect, ownership rights also refers to the notion that all members of a data cooperative must be able to collect copies of their data. [1] This can be done either automatically through electronic means (e.g. passive data-traffic copying software on their devices) or it can be done by manually uploading data files to the cooperative. [1] The data that is collected is stored in a members personal data store (PDS). [1] Within an individual's personal data store, members have the ability to add, remove or restrict access to personal data.[ citation needed ]
This key aspect of data cooperatives refers to the legally bound obligations that cooperatives have to its members. [1] Data cooperatives are member owned and member run, and there needs to be a set of rules (bylaws), that govern the cooperative, and have been agreed on by all members. The main factor that these rules cover are policies regarding the usage and or access of member owned data. [1]
This key aspect refers to the overall desired goals outcomes of a data cooperative. Data cooperatives must provide benefit to all members of the cooperative. Data cooperatives accomplish this by analyzing the data and identifying useful insights amongst the data, that is then shared to the members of the cooperative. [1]
Within contemporary societies, "data" - as a commodity - is continuously becoming more valuable. [4] Over the past decade, the control of data has been concentrated between a limited number of actors, such as; 'big tech' companies (e.g. Facebook & Google) and government entities. [5] By forming a data cooperative, citizens can actively establish themselves as stakeholders within the world's data economy. Through creating stakeholders, data cooperatives contribute to evening out the data power imbalances by competing against, and impeding on the data monopolies that the 'big tech' companies and government entities have.[ citation needed ]
"All of this [data] has value to the producer, and when the producer gains control over that value, incentives will be transformed; a market participant will try to persuade the buyer to spend money with them instead of paying monopolistic platforms to manipulate a targeted person." - A Blueprint for a Better Digital Society (2018) [6]
The three main entities that make up a data cooperative are: [1]
In their 2018 article in the Harvard Business Review, computer scientist Jaron Lanier and political economist Glen Weyl propose a new type of legal entity to enable data cooperativism: Mediators of Individual Data (MIDs). [6] MIDs, they argue, could offer an institutional innovation for enabling data cooperativism by bridging the gap between users and digital platforms. MIDs would act as fiduciaries, managing data on behalf of individuals and groups while ensuring transparency, privacy, and equitable benefit-sharing. They provide an essential legal and operational framework work data cooperatives by: [6]
MIDs have the potential to serve as a backbone for a "dignified information economy, where individuals maintain control over their data while participating in cooperative and market-based systems." [6]
Currently, drivers for ride-share services have no effective way to compare their respective incomes across similar routes, areas and distances. [1] Similarly, people who use these ride-share services don't have a way to compare average fees between similar trips people take. [1] The members of a ride-share automobile service community could form a data cooperative by pooling together data accessible to them on their devices, and use the data to see whether on average they are receiving a similar quality of service and equitable earnings across a wide geographic area. [1]
A data cooperative for social media users could allow them to manage the data generated by their engagement with social media platforms and negotiate fair compensation data that is used to create or train software like translation engines, content recommendation algorithms, or be remixed into new media.
One challenge that data cooperatives are faced with is the overhead cost required to establish and maintain the cooperative. As a data infrastructure, data cooperatives need a substantial financial investment in order to support and maintain the IT infrastructural capabilities necessary for a data cooperative. [3]
Current policies and regulations regarding privacy, data reuse and deletion, data interoperability, and portability enable a select group of stakeholders to dominate data ownership. [7] The challenge here is that in order for these regulations and policies to change (specifically in a way that enables the lasting success of a data cooperative), the people who have the power to do so will first have to understand and agree that data cooperatives are appropriate and beneficial. [7]
Privacy is the ability of an individual or group to seclude themselves or information about themselves, and thereby express themselves selectively.
A cooperative is "an autonomous association of persons united voluntarily to meet their common economic, social and cultural needs and aspirations through a jointly owned and democratically-controlled enterprise". Cooperatives are democratically controlled by their members, with each member having one vote in electing the board of directors. They differ from collectives in that they are generally built from the bottom-up, rather than the top-down. Cooperatives may include:
Ownership is the state or fact of legal possession and control over property, which may be any asset, tangible or intangible. Ownership can involve multiple rights, collectively referred to as title, which may be separated and held by different parties.
The right to privacy is an element of various legal traditions that intends to restrain governmental and private actions that threaten the privacy of individuals. Over 185 national constitutions mention the right to privacy. On 10 December 1948, the United Nations General Assembly adopted the Universal Declaration of Human Rights (UDHR); while the right to privacy does not appear in the document, many interpret this through Article 12, which states: "No one shall be subjected to arbitrary interference with their privacy, family, home or correspondence, nor to attacks upon his honor and reputation. Everyone has the right to the protection of the law against such interference or attacks."
Medical privacy, or health privacy, is the practice of maintaining the security and confidentiality of patient records. It involves both the conversational discretion of health care providers and the security of medical records. The terms can also refer to the physical privacy of patients from other patients and providers while in a medical facility, and to modesty in medical settings. Modern concerns include the degree of disclosure to insurance companies, employers, and other third parties. The advent of electronic medical records (EMR) and patient care management systems (PCMS) have raised new concerns about privacy, balanced with efforts to reduce duplication of services and medical errors.
A digital identity is data stored on computer systems relating to an individual, organization, application, or device. For individuals, it involves the collection of personal data that is essential for facilitating automated access to digital services, confirming one's identity on the internet, and allowing digital systems to manage interactions between different parties. It is a component of a person's social identity in the digital realm, often referred to as their online identity.
Privacy law is a set of regulations that govern the collection, storage, and utilization of personal information from healthcare, governments, companies, public or private entities, or individuals.
Information sensitivity is the control of access to information or knowledge that might result in loss of an advantage or level of security if disclosed to others. Loss, misuse, modification, or unauthorized access to sensitive information can adversely affect the privacy or welfare of an individual, trade secrets of a business or even the security and international relations of a nation depending on the level of sensitivity and nature of the information.
Privacy-enhancing technologies (PET) are technologies that embody fundamental data protection principles by minimizing personal data use, maximizing data security, and empowering individuals. PETs allow online users to protect the privacy of their personally identifiable information (PII), which is often provided to and handled by services or applications. PETs use techniques to minimize an information system's possession of personal data without losing functionality. Generally speaking, PETs can be categorized as either hard or soft privacy technologies.
Information technology law, also known as information, communication and technology law or cyberlaw, concerns the juridical regulation of information technology, its possibilities and the consequences of its use, including computing, software coding, artificial intelligence, the internet and virtual worlds. The ICT field of law comprises elements of various branches of law, originating under various acts or statutes of parliaments, the common and continental law and international law. Some important areas it covers are information and data, communication, and information technology, both software and hardware and technical communications technology, including coding and protocols.
Kantara Initiative, Inc. is a non-profit trade association that works to develop standards for identity and personal data management. It focuses on improving the trustworthy use of identity and personal data in digital identity management and data privacy.
A personal data service (PDS) gives the user a central point of control for their personal information. The user's data attributes being managed by the service may be stored in a co-located repository, or they may be stored in multiple external distributed repositories, or a combination of both. Attributes from a PDS may be accessed via an API. Users of the same PDS instance may be allowed to selectively share sets of attributes with other users. A data ecosystem is developing where such sharing among projects or "operators" may become practicable.
A platform cooperative, or platform co-op, is a cooperatively owned, democratically governed business that establishes a two-sided market via a computing platform, website, mobile app or a protocol to facilitate the sale of goods and services. Platform cooperatives are an alternative to venture capital-funded platforms insofar as they are owned and governed by those who depend on them most—workers, users, and other relevant stakeholders.
Big data ethics, also known simply as data ethics, refers to systemizing, defending, and recommending concepts of right and wrong conduct in relation to data, in particular personal data. Since the dawn of the Internet the sheer quantity and quality of data has dramatically increased and is continuing to do so exponentially. Big data describes this large amount of data that is so voluminous and complex that traditional data processing application software is inadequate to deal with them. Recent innovations in medical research and healthcare, such as high-throughput genome sequencing, high-resolution imaging, electronic medical patient records and a plethora of internet-connected health devices have triggered a data deluge that will reach the exabyte range in the near future. Data ethics is of increasing relevance as the quantity of data increases because of the scale of the impact.
Sidewalk Toronto was a cancelled urban development project proposed by Sidewalk Labs at Quayside, a waterfront area in Toronto, Ontario, Canada. The project was first initiated by Waterfront Toronto in 2017 by issuing the request for proposal (RFP) for development on the Quayside area. Sidewalk Labs, a subsidiary of Google, issued the winning bid in 2017. The Master Innovation Development Plan (MIDP) was created in 2019 through conversations with over 21,000 Toronto residents and had aimed to be an innovative reinvention of Toronto's neglected eastern downtown waterfront.
The Personal Data Protection Bill, 2019 was a proposed legislation by the Parliament of India which was withdrawn. The bill covers mechanisms for protection of personal data and proposes the setting up of a Data Protection Authority of India for the same. Some key provisions the 2019 Bill provides for which the 2018 draft Bill did not, such as that the central government can exempt any government agency from the Bill and the Right to Be Forgotten, have been included.
Platform capitalism is an economic and business model in which digital platforms play a central role in facilitating interactions, transactions, and services between different user groups, typically consumers and producers. This model of capitalism has emerged and expanded with the rise of the Internet and digital technologies, transforming various sectors of the economy from retail and transportation to media and labor markets. Four main facets of platform capitalism are: crowdsourcing, sharing economy, gig economy and platform economy. Key characteristics of platform capitalism include:
Self-sovereign identity (SSI) is an approach to digital identity that gives individuals control over the information they use to prove who they are to websites, services, and applications across the web. Without SSI, individuals with persistent accounts (identities) across the internet must rely on a number of large identity providers, such as Facebook and Google, that have control of the information associated with their identity. If a user chooses not to use a large identity provider, then they have to create new accounts with each service provider, which fragments their web experiences. Self-sovereign identity offers a way to avoid these two undesirable alternatives. In a self-sovereign identity system, the user accesses services in a streamlined and secure manner, while maintaining control over the information associated with their identity.
Data collaboratives are a form of collaboration in which participants from different sectors—including private companies, research institutions, and government agencies—can exchange data and data expertise to help solve public problems.
Digital self-determination is a multidisciplinary concept derived from the legal concept of self-determination and applied to the digital sphere, to address the unique challenges to individual and collective agency and autonomy arising with increasing digitalization of many aspects of society and daily life.
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