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Governing data and data for governance: the everyday practice of Indigenous sovereignty

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Governing data and data for
governance: the everyday practice
of Indigenous sovereignty
Diane E Smith
Not everything that can be counted counts,
And not everything that counts can be counted.
— Albert Einstein (according to the available data)
Introduction
The right of indigenous peoples to pursue development and cultural
agendas in keeping with their self-determined aspirations and needs
has been asserted by the United Nations Declaration on the Rights
of Indigenous Peoples (UNDRIP). The reluctance of nation-states
to recognise self-determination, let alone sovereignty, among the
indigenous polities within their borders has been the subject of
both critical commentary and advocacy. However, it is only recently
that attention has been given to the kinds of internal expertise and
institutions that are needed to mobilise the exercise of such rights
by indigenous peoples. The argument of this chapter is accordingly
twofold. First, that the foundation stone for translating indigenous
rights into everyday practice now—as opposed to remaining an
intangible future goal—is the collective ability of indigenous nations,
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communities and groups to self-govern, to make informed and
internally accountable decisions about their current priorities and
future direction. Second, for such eective self-governance to occur,
indigenous peoples need access to a range of culturally relevant and
accurate information about themselves; they need data they can trust.
A particular catalyst for much recent innovation by indigenous
peoples in both these areas has been the imperative to decolonise
the governance arrangements and the colonial data archives that
have been externally created for and about indigenous peoples.
As a consequence, a common set of interrelated questions is being
considered by indigenous peoples across Canada, Australia, New
Zealand and the United States (CANZUS), in spite of their having
distinctive cultural traditions, histories and legal rights. These
inuential questions include:
Who exactly is the collective ‘self’ in the self-determined and
self-governing indigenous polity?
Who are the intergenerational members of such polities on whose
behalf data are to be collected and used?
What kind of collective identity do indigenous people want
toshape for themselves, now and into the future?
What kinds of development—social, cultural and economic—
willbe pursued, and who should benet from it?
What role should indigenous culture play in collective decisions
and solutions about these matters?
What kinds of data will best support informed decision-making
and eective solutions about these matters?
And, importantly, who should have the authority to govern data
on indigenous peoples—to collect, validate, interpret, own and
use it?
These questions are considered here primarily through the lens of
‘governance’, meaning the institutions, relationships, processes and
structures by which the collective will of a nation, clan, group or
community is mobilised into sustained, organised action (Dodson &
Smith 2003; Smith 2005). Neither governance arrangements nor social
collectivities are static; they are dynamic entities that may be modied
and recongured according to changing conditions and needs. But
for changes in governance and collective identity to be considered
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legitimate and so be supported by group members, ‘knowledgeable
agents’ (Giddens 1984: 199) are needed who are able to mobilise
consensus and consent among those members. For that to occur, timely
access to relevant information about current circumstances, options
and likely future outcomes is an inuential precondition for arriving
at condoned action.
It is not surprising then that data collection for exercising eective
governance and the eective governance of data are emerging as
twin capabilities fundamental to underwriting the daily exercise of
indigenous self-determination and sovereignty for the social good.
These entwined issues are examined in the remainder of this chapter.
But rst it is useful to understand more about the common conditions
that have invigorated conversations and initiatives among indigenous
peoples about data sovereignty in the four CANZUS countries.
From datum nullius to data sovereignty
The governance of data—that is, who has the power and authority to
make rules and decisions about the design, interpretation, validation,
ownership, access to and use of data—has emerged as a site of
contestation between indigenous peoples and the colonial settler
states within which they reside. A particularly salient concern is
the concept of ‘data’, which is itself a socially constructed eld with
epistemologically diverse underpinnings and corresponding issues of
validity, relevance, application and dissemination (see, for example,
Agrawal 1995; Smith 1991ab, 1994; Smylie & Anderson 2006).
At their most basic, data are simply attributes or properties that
represent a series of observations, measurements or facts that are
suitable for communication and application (Ellis & Levy 2012;
Bruhn 2014). Data constitute a point-in-time intervention into a ow
of information or behaviour—an attempt to inject certainty and
meaning into uncertainty. As such, data can be useful for generalising
from a particular sample to a wider population or category set, for
testing hypotheses, for choosing between options and determining
the relationship between particular variables. However, when derived
from ethnocentric criteria and denitions, data can also impose
erroneous causal connections and simplify social complexity, thereby
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freezing what may be uid formations in the real world. In their
unadorned quantitative form, data are hard-pressed to cope with
social and cultural intangibles.
‘Data’ should also be conceptually distinguished from ‘information’,
which results when people attribute meaning and values to data in
a particular context. In intercultural contexts, seemingly objective
data and their interpretation as information can become misguided
political, policy and ideological instruments. For that reason, both
data and information may have limited validity or usefulness when
externally imposed as constructions of indigenous behaviours and
social formations.
Eorts to permanently settle and control mobile indigenous peoples
have been a perennial project of colonial and contemporary nation-
states in all four CANZUS countries. Indigenous families were
frequently forcibly relocated from their lands, separated from each
other and centralised into articial communities. Their collective rights
and self-constructed categories of social organisation were reshaped
by colonial frameworks resting on the Western principles and primacy
of individual citizenship and assimilation. The scope of the colonial
paradigm of ‘nullius’ has been more broadly applied beyond the legal
ction of terra nullius. It has also purported equivalent ctions about
indigenous governance and knowledge systems.
Colonial governments deployed strategies to standardise and simplify
the indigenous ‘social hieroglyph into a legible and administratively
more convenient format’ (Scott 1999: 3). Indigenous ‘peoples’
were enumerated into ‘populations’ (Taylor 2009); their domestic
arrangements and wellbeing were constrained within quantitative
datasets and indicators that reected colonial preoccupations and
values. For example, in Australia, the Indigenous logic of family
structures, shared parenting and kin relations disappeared under
the overwhelming weight of national census statistical analyses
(Smith1991a, 1994; Daly & Smith 1996). Indigenous economies were
relegated to a precapitalist category positioned outside so-called
mainstream indicators of what constituted ‘economically active
work’, employment and unemployment and productive development
(Smith1991b).
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In a similar vein, Indigenous modes of governance across Australia
werevariously portrayed in colonial discourse as a form of gubernare
nullius—that is, empty, invisible and unknowable—frozen in
an underdeveloped ‘primitive’ stage of social evolution. From
such a standpoint, they were pathologised as being hopelessly
dysfunctional and corrupted by kin relationality (Smith 2008).
Indigenous knowledge systems in turn were treated as datum
nullius—ablank slate on which could be constructed the edice of
adistorting ‘colonial archive’ (Nakata 2007; see also Pool, this volume).
In all four countries, similar nullius ctions contributed to the
imposition of Western modes of democratic governance, the disruption
of indigenous leadership networks and the belittling of indigenous
systems of authority and knowledge. Collective institutions of
governance were overridden and transformed into legal corporations
where indigenous governing traditions, roles and responsibilities
were curtailed and externally regulated. New categories and
institutions of governance—of boards, executives, councillors, voting,
representation, democracy and so on—were inserted into the daily
fabric of indigenous peoples’ lives.
Today, these tools continue to facilitate the neoliberal control and
management of indigenous peoples’ lives by nation-state governments.
It is hardly surprising, then, that there has been a common move by
indigenous groups and their leaders over recent decades to reassert
their self-determined modes of governance and their self-identied
aspirations. However, as indigenous groups begin to replace outsiders’
agendas with their own, they are often confronted with the daunting
reality that their contemporary governance arrangements have been
signicantly eroded and that they lack the relevant data on which
tomake informed decisions and take action.
Over 25 years ago in Australia, the Royal Commission into Aboriginal
Deaths in Custody (RCIADIC 1991) recommended that:
When social indicators are to be used to monitor and/or evaluate
policies and programs concerning Aboriginal people, their informed
views should be incorporated into the development, interpretation and
use of the indicators, to ensure that they adequately reect Aboriginal
perceptions and aspirations. (RCIADIC 1991: Recommendation 2:53)
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In the development of future national censuses and other data
collection activity covering Aboriginal people, the Australian Bureau
of Statistics and other agencies … ensure that full account is taken
ofthe Aboriginal perspective. (RCIADIC 1991: Recommendation 2:63).
Commonwealth, State and Territory Governments provide access to all
government archival records pertaining to the family and community
histories of Aboriginal people. (RCIADIC 1991: Recommendation 2:79)
These were groundbreaking recommendations and were asserted in
dierent contexts by indigenous leaders and organisations in each of
the CANZUS countries. However, it has become increasingly clear that
the process of rebuilding or strengthening indigenous governance
is closely aligned with the need to also reassert indigenous peoples’
control and interpretation into the colonial data archives, and to
produce alternative sources of data that are t for their contemporary
purposes.
It is in this historical context that the concept of data sovereignty
has emerged to describe the ability of indigenous peoples to practice
self-rule and self-governance when it comes to data and the opening
of data, and their capacity to gather and manage data for their own
purposes and use.
The indigenous governance challenge
The international experience of former UN Special Rapporteur on
Indigenous Rights James Anaya (Smith 2012) led him to identify three
eras in the ght by indigenous peoples for self-determination, with
each era having its own discrete governance challenges. These are:
1. the prerecognition era of colonisation with its denial of indigenous
sovereign governance
2. the battle for rights and recognition in which indigenous governance
solutions focused on political priorities
3. the post–UN Declaration era of governance implementation.
Over the past 40 years, in each of the four CANZUS jurisdictions,
atransition has been occurring from the rights battle to the governance
and development challenge. Which is not to say that the rights battle
has been won, but rather that the progress made on the rights agenda
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has led directly to a critical issue—one captured in Patrick Dodson’s
comments to an international conference on indigenous peoples
(seeSmith 2012: 11):
The challenge for traditional owners, like the Yawuru, is how do we,
as a people, leverage our native title rights so as to promote our own
resilience and reliable prosperity in the modern world.
Arguably, this is the challenge of governance performance and
eectiveness—a challenge that has turned out to be a very dierent
task from that of ghting for rights.
Successfully achieving a treaty or land claim, negotiating a resource
agreement or implementing an economic initiative invariably requires
indigenous people to reassess and restructure their existing governance
arrangements. This is because what worked to get them through
negotiations is not necessarily what will work to implement the
conditions of resulting agreements, claims and treaties. Furthermore,
success propels people from thinking about past grievances to thinking
about future priorities and how to achieve them.
In addition, there is now an entire generation of young indigenous
people whose careers and involvement in indigenous aairs have
taken place in the post–land rights, post-treaty and post-settlement
environment. Not only does this give them a dierent viewpoint on
history and what is possible, but also they are impatient for strong
indigenous governance, for sound decision-making and informed
action that will translate the promise of rights into tangible outcomes.
From these varied indigenous viewpoints, the collection, ownership,
analysis and strategic use of a range of robust data are increasingly
recognised as being fundamental to building resilient governance
capable of delivering outcomes.
Data for governance
Eective governance, whether for a small group or a large nation,
means being capable of leadership and stewardship, future-oriented
planning, problem solving, evaluating outcomes, developing strategies
and taking remedial action. To support that suite of governance
capabilities, many indigenous groups and their governing bodies are
choosing to produce, interpret and manage their own information
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systems and databases (Smith 2002, 2005; Taylor 2005; Taylor etal.
2014). In an age of information overload, this can be a daunting
governance task in itself.
As part of designing the methodological and conceptual framework
for the conduct of the Australian Indigenous Community Governance
(ICG) Research Project, I identied several key dimensions and
inuential components of indigenous modes of governance—both
internal and external (Smith 2005: 23–4). Each of these dimensions
is associated with a range of governing capabilities, institutions,
structures and practices that can be strengthened and adapted through
considered interventions (Dodson & Smith 2003). For that to happen
successfully, various kinds of data and information will be needed
about each dimension (Table 7.1).
Table 7.1 Data for building and evaluating indigenous
governance arrangements
Dimensions of governance Some key items of information/data needed
Cultural geography and
legitimacy
The culturally valued layers and aggregations of social
relations and territorial organisation forming the bases
of group ownership of land and related identities.
Power and authority Sources, scope, composition, social boundaries
and distribution, networks, checks and balances,
accountability, transmission, modes and standards
of exercise.
Leadership/governors Pathways, selection, monitoring, accountability, roles
and responsibilities, standards of conduct, hierarchies,
succession, capacity-building of leaders and decision-
makers (male and female).
Decision-making Processes, mechanisms and rules for, forms of,
consensus orientations, implementation of, free prior
informed consent, social organisation and subsidiarity of.
Institutional bases Standards, measures, structures, purposes, goals,
capacities, policies, actions and outcomes, transparency,
compliance, organisational bases and structure for.
Strategic direction Planning, priorities, strategies for short and long-term
risk management.
Participation and voice Group membership, demographic characteristics, extent
of participation and involvement in decision-making,
elections and voting, communication with members/
citizens, dispute resolution.
Accountability Rules and norms, mechanisms and procedures for
internal and external controls over corruption and rent-
seeking behaviour.
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Dimensions of governance Some key items of information/data needed
Resource governance Cultural, human, natural, economic, technological,
nancial and other resources and assets that indigenous
people need, have access to or control over. Availability,
use and impacts of resources.
Governance of (nation-state)
governments
Institutions, structures, values and capacities, powers,
policy and service delivery, funding mechanisms,
accountability mechanisms, communication and
negotiation with.
Governance environment Web of relationships with external parties, wider
operating environment, stakeholder analyses, scal ows
and funding, impact of wider regional, state and national
environment, markets.
Capacity development Skills, expertise, knowledge, information, abilities to
build governance, capability gaps between government
rhetoric and on-the-ground reality about what works.
Governance self-evaluation Standards and measures by which governance
‘success’ is dened from indigenous and other
perspectives, inuential factors, meaningful criteria
and principles for assessing eective and legitimate
indigenous governance.
Source: The author.
Prioritising data for governance:
where to start
A challenge in indigenous governance more generally is that often
it is the case that everything needs work, which sometimes means
that little gets done. So what kind of data will support indigenous
peoples’ purposes of evaluating and strengthening their governing
arrangements? Is there a way to think about priority areas for data
collection and analysis that would: 1) begin to implement data
sovereignty, 2) provide a data foundation on which to build, and
3)move people further down the road towards self-governance based
on robust information?
Strengthening and rebuilding governance is a journey. All the issues
cannot be addressed at once, and there are no perfect ‘good governance’
solutions. Rebuilding governance might require immediate substantial
changes or small progressive ones. Someone has to lead the way, but
it is also critical to keep the nation and community members fully
informed, with a voice in decisions. The process of data collection
INDIGENOUS DATA SOVEREIGNTY
126
may challenge existing vested interests within a community and in
the wider external environment. So being inclusive, transparent and
consultative promotes credibility and participation in the process.
Whatever the initial impetus, data strategies will be more eective and
sustainable if the governance problems and solutions are identied by
the group or organisation itself.
Governance is about relationships. As a consequence of colonial
interventions and violence across the CANZUS countries, one of the
very rst issues that arises when indigenous people discuss the kind
of governance they have or want is the conguration of their own
collective cultural identity and internal relationships: Who is the ‘self
in their particular mode of self-determination? Who is, and is not,
a member? Is the ‘self’ dierently constituted at dierent societal
levels? On whose behalf are leaders and representative organisations
governing? These questions go to the heart of self-determined
legitimate solutions for governance. To answer them, people often
seek out information about their particular cultural geographies and
group membership.
Usually such information is not to be found in mainstream data
collections and institutions (such as university libraries, government
archives, national censuses, sample surveys). Those invariably operate
at the level of Western enumeration concepts and categories. Such
datasets are rarely available at the level of indigenous culturally based
polities (such as nations, governments, regions, communities, local
groups, clans and extended families).
Accordingly, a priority data area for governance is to get some hard
demographic facts about group membership and relationships that are
also linked to landownership. That can include nding out about such
things as: what matters to members about their governance as well as
their concerns and suggestions; what they think can be done about
it; how many members are attending annual general meetings or are
involved in selecting or electing leaders; and how many young people
are involved in decision-making processes. Such data will reveal a lot
about the future demands on governance and services.
Another critical area for early data collection and analysis is governance
performance. For example, are decisions and risk assessments routinely
informed by relevant sound data? Have decisions over the past year
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been implemented? What are the leadership strengths and gaps?
These data will give a better idea of governance eectiveness and
future needs. Today, indigenous nations and their organisations are
increasingly using computerised systems to keep records of decisions
made, allocate responsibility for follow-up action, track outcomes,
report back to their governing bodies and deal with any problems.
Data for nancial planning and accountability will help a nation or
community to understand their overall nancial situation as reported,
ask the right questions so members can know the true state of their
collective nances and make more informed decisions about nancial
priorities and development options. However, it is important for
complex nancial and business information to be pulled together into
accessible formats for presentation to governing bodies and members.
A cornerstone of collective resilience in times of crisis and rapid change
is strong governance built on knowing what you have and using it well.
This means having information about the strengths, assets, resources
and expertise a nation, community or organisation already has and
can bring to bear. Everyone in a group has skills, abilities, knowledge
and experience that can be drawn on to strengthen governance and
reinforce a shared commitment to rebuilding. An early data collection
priority therefore is to document a group’s existing infrastructure,
technology, funding sources and base, human and cultural capital
andnatural assets.
While most data are informative, not all data will be t for indigenous
peoples’ purposes of assessing and (re)building their governance.
On the contrary, when an indigenous governance agenda is imposed
from the outside, data needs and the bases for interpretation are also
eectively imposed from the outside. This can seriously undermine
indigenous self-evaluation of governance and the design of self-
determined solutions. From this perspective, poor data quality and
analyses arguably contribute to poor governance. By contrast,
robust culturally informed data used in relevant contexts can serve
as a foundation to support more eective and legitimate indigenous
governance.
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This suggests the possibility of creating a self-reinforcing
system—a ‘virtuous’ cycle—in which improving the relevance,
validity and applicability of data enhances governance, which in
turn improves capability for a range of governance responsibilities,
including that of collecting and governing data.
Culture-smart information
In every society there are cultural determinants of what constitutes
leadership, decision-making, representation, group membership,
participation, legitimacy and accountability. And dierent
behaviours, standards and measures may apply. Serious problems arise
when supposedly objective statistics do not adequately reect these
dierences. Exacerbating that limitation is the tendency to dismiss as
unimportant those processes and behaviours which we do not know
how to measure by standard methods. The result is a tyranny of the
measureable, which confers power and legitimacy on the thing that
is measured. So the production of data for and about governance
immediately raises issues of relative power—that is, whose voice
is given priority in determining the meaning, validity and values
attached to data (see Morphy, this volume)?
Just as governance is a culturally based concept, so, too, are the
criteria, indicators and measures used to generate systems of data and
information. Hence, in Indigenous Australia, not all information is
freely available to everyone within a group. There are inuential gender
and age dimensions and associated rules around certain restricted
forms of information, who owns and can reproduce and authorise
information and who has access to it and for what purposes. There is
also a hierarchy of value given to dierent elds of information and
knowledge, with certain kinds constituting ‘inalienable possessions’
passed on from one generation to the next. Information about high-
value things (be they land, sites, names, body designs, songs, stories,
knowledge, ritual practices or paraphernalia) becomes imbued with
the intrinsic and ineable identities of their owners, accreted with
history, and acts as a repository of collective memories and identities.
As a consequence, authority over particular kinds of indigenous
information is distributed across interdependent social layers and
polities, establishing a culturally based subsidiarity of information
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and knowledge. Often particular people and subgroups are charged
with the transfer of specic areas of knowledge from one generation
to another. Such information and things constitute what Radin (1982)
and Moustakas (1989: 1185) refer to as rights in cultural ‘property for
grouphood’. This complex knowledge economy has implications for
the collection, digitisation and dissemination of indigenous knowledge
(see Nakata & Langton 2006; Nakata et al. 2008). Furthermore,
assessments by indigenous people of the legitimacy of their leaders
and governance are sometimes closely linked to their ability to protect
and maintain these valued heartlands of cultural information.
These culturally based conditions and practices do not negate
the importance of quantitative data for governance performance.
Indigenous groups want governance that not only is culturally
legitimate, but also has the practical capacity to deliver outcomes.
Furthermore, to facilitate free, prior informed consent, people need
accurate and relevant information. And local levels of governance
require ‘the development of local-level data collection, management
and reporting systems’ (Smith 2002: 18). These various goals depend
on having collection, access and use procedures and policies for the
governance of both qualitative and quantitative data, supported by
technical skills and infrastructure. From this perspective, then, data
system priorities and standards should be driven by the strategic
priorities of indigenous communities and nations, rather than imposed
from the outside via nation-state policies and agendas.
To govern for the future, indigenous people are looking for what
I would call ‘culture-smart’ data—that is, information that can be
produced locally, captures local social units, conditions, priorities and
concerns and is culturally informed and meaningful. These kinds of
data build on existing indigenous capabilities and knowledge, have
direct practical application and represent collective identities, rights
and priorities. Culture-smart data have greater potential to mobilise
support and a mandate from group members, to boost accountability
and legitimacy and to improve the quality of actual service delivery—
all of which are fundamental ingredients in the practical exercise
ofsovereignty.
INDIGENOUS DATA SOVEREIGNTY
130
Governance of data and information
The ownership of, access to and control over the use of data are
governance issues (Nakata & Langton 2006; Bruhn 2014). Contrary
to contemporary Western conceptualisations of corporate governance
and ‘big data’ management systems, indigenous peoples’ governance
or stewardship of data is not simply about the data. It is about the
people who provide and govern an asset that happens to be data.
Fromthis perspective, arrangements for the governance of data tend
tobe assessed by indigenous peoples according to whether they satisfy
the spirit and intent of reproducing their culturally based systems of
knowledge, alongside delivering on their planning, service-delivery
and development aspirations.
Critical functions of governance therefore are the collection and
analysis of relevant packages of information that can be communicated
eectively to governing bodies, leaders, group members, organisations
and external stakeholders. Strong governance creates checks and
balances to ensure that data collection supports the priorities of a group
or organisation, implements agreed standards for data quality control
and works to ensure data are available in a timely way. Ineective
governance of data can lead to uninformed decision-making, low
participation by membership, project failures, loss of reputation and
credibility and missed development opportunities.
The clear conclusion is that nations, communities and organisations
need practically eective governance arrangements to collect and
convert relevant and meaningful information into sensible advice and
options. Unfortunately, many indigenous groups lack the economies
of scale and human capital needed to underwrite the governance
of big data systems, especially where data are of varied quality and
reliability.
Therefore, to deliver on the promise of culture-smart and relevant
information systems, indigenous governance arrangements need to
be designed and implemented under a framework of principles and
practices that:
Sets and enforces agreed standards, culturally informed denitions
and classication systems for data production, ownership, analysis
and administration.
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Develops and enforces agreed rules, policies and processes around
access, dissemination, monitoring, management and review of
data, including what kinds of data will not be collected or will
have restricted access.
Identies and publicises clear cultural rules and protocols with
respect to indigenous intellectual property rights, which outline
the consents required to access and use high-value cultural
information that has been collated.
Sets out a management structure for data that claries the roles,
responsibilities and accountabilities of people charged with
collecting, analysing, maintaining and communicating data. This
includes leaders, executive committees, managers and community
members.
Puts in place user-friendly technologies and infrastructure
and member-focused data platforms that include building the
capabilities of members to access, interpret, use and maintain their
own data.
Ensures governance arrangements for repatriating and protecting
indigenous data property rights are based on the principle of self-
determination.
When such data governance is in place, indigenous communities and
nations will have a more reliable foundation on which to make sound
decisions about their overall goals and objectives; what kind of life
they want to build; what assets they have or require; what things they
want to retain, protect or change; the kind of development they want
to promote or reject; and what actions they need to take to achieve
those goals (see also FNIGC, Hudson et al., Hudson, Jansen, Yap & Yu,
this volume).
Conclusion
The concept of data sovereignty has emerged as a particularly salient
one for indigenous nations and groups whose sovereignty has been
diminished and whose representation within colonial archives has
often been maligned. It is a concept that alludes to the promise that
self-determination can be put into practical eect by indigenous
INDIGENOUS DATA SOVEREIGNTY
132
people gathering data that are t for their own purposes. It also
implies having not only a recognised right, but also the local mandate
and capacity to produce more meaningful, culture-smart information.
Sovereignty includes being able to design rules for the restriction and
opening of data. Open data in the context of indigenous peoples is a
double-edged sword. On the one hand, open data could be used to
inform development, allocate resources and set a future vision—and
to inuence wider public opinion and debates. On the other hand,
opening up data may be accompanied by concern about protecting
indigenous cultural information, rights and intellectual property
(seePool, this volume). Importantly, data sovereignty means taking on
a signicant responsibility to collect and maintain data that reinforce/
restrict particular collective identities and assist in delivering real
improvements in people’s circumstances. From this perspective,
indigenous governance of data assets is about stewardship for both
present and future generations.
Finally, in light of the rapid spread of internet technologies and the
globalisation of access (legal and illegal) to information, we must
consider the extent to which data sovereignty is facing additional,
signicant new challenges. Everything seems to be becoming, in
one way or another, public data; even the strongest encryptions and
rewalls cannot protect modern data systems. But this phenomenon
is dependent on certain technologies. Perhaps the next challenge in
this arena is for indigenous people to identify whether there are ways
to use their own technologies and institutions to protect condential
data—for example, by keeping certain culturally valued or personal
data in the form of oral tradition or producing data using indigenous
languages. Long-term data protection for indigenous peoples may
directly depend on the preservation and transmission of their
technologies of language, art and semiotics and the extremely narrow
distribution of the knowledge necessary to use those technologies.
The narrowness of such distribution perhaps makes this a fragile kind
of protection—but, at the very least, as a consequence of considering
and making informed decisions about such data challenges, indigenous
peoples are eectively acting in sovereign ways. In other words, the very
act of designing workable ways of governing data for contemporary
purposes, and producing indigenous data representations of collective
identity, contributes to constructing self-determination as a current
practice rather than an ephemeral future goal.
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This text is taken from Indigenous Data Sovereignty: Toward an agenda,
edited by Tahu Kukutai and John Taylor, published 2016 by
ANU Press, TheAustralian National University, Canberra, Australia.
... Indigenous nations have also long used the scientific method, engaging in careful systematic and documented observation of pertinent aspects of the social and physical world. The classification schemes of colonial states, therefore, merely attempted to usurp Indigenous epistemologies with their own (see Smith 2016;Carroll et al. 2019;Cormack and Kukutai 2022;Rodriguez-Lonebear 2016). Indigenous relationships with informational abstraction, therefore, long predate the colonial logics, programmes and interventions that attempted to demean, belittle and, ultimately, overwrite them. ...
... At its simplest, Indigenous Data Governance means Indigenous decision-making and Indigenous control. Critically, this decisionmaking and control remains central regardless of who produced the data or who holds the data (see Rodriguez-Lonebear 2016;Smith 2016;Carroll et al. 2019;Rainie et al. 2017;Walker et al. 2017). Indigenous data scholars and practitioners divide data governance into two broad and interconnected areas: governance of data and data for governance (see Smith 2016;Carrol et al. 2019). ...
... Critically, this decisionmaking and control remains central regardless of who produced the data or who holds the data (see Rodriguez-Lonebear 2016;Smith 2016;Carroll et al. 2019;Rainie et al. 2017;Walker et al. 2017). Indigenous data scholars and practitioners divide data governance into two broad and interconnected areas: governance of data and data for governance (see Smith 2016;Carrol et al. 2019). Both are necessary to achieve Indigenous Data Sovereignty and require Indigenous leadership (Walter and Russo-Carroll 2021). ...
... One of the primary methods for achieving Indigenous Data Sovereignty (IDSov) is through Indigenous Data Governance (IDGov) Rainie et al., 2017;Smith, 2016;. Robust data governance and the availability of high-quality data are essential for the efficient function of any society and for conducting meaningful social research. ...
... IDSov supports this by ensuring Indigenous communities have authority over their data, enabling them to gather and analyse information that reflects their needs and aspirations (Kukutai & Taylor 2016b). This data control allows Indigenous peoples to make informed decisions, advocate for culturally relevant programs, and monitor and adjust initiatives to better serve their communities, reinforcing their self-determination and autonomy in development processes governance (Maiam nayri Wingara Indigenous Data Sovereignty Collective, 2024;Smith, 2016). ...
... • Using their privilege to advocate for Indigenous leadership, IDSov, and IDGov (Academy of the Social Sciences in Australia, 2024). • Decolonising data ecosystems (Quinless 2022;Smith 2016). • Build the statistical capacity of Indigenous people (Lovett 2016). ...
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This chapter explores the dynamic interplay between social research and the Indigenous Data Sovereignty (IDSov) movement. In the fields of data and society, IDSov aims to disrupt colonial paradigms, emphasising the urgent need for Indigenous1 peoples and communities to reclaim authority over their data to define their narratives and futures (Kukutai & Taylor 2016b; Walter, Kukutai et al. 2021). Quality data are the backbone of a society, informing, empowering, and facilitating progress across diverse aspects of human life. However, current data landscapes are marked by historical and ongoing imbalances, where marginalised populations, such as Indigenous minorities in Anglo-colonised nations like Canada, Australia, Aotearoa (New Zealand), and the United States2, experience significant challenges attaining the data they need (Walter & Anderson 2013). In this context, the argument for IDSov gains prominence as it addresses the immediate need for Indigenous communities to assert control over their data and establish their own data systems. This effort is crucial for rectifying historical and ongoing injustices and empowering Indigenous voices to shape their narratives. As societies become increasingly digitised and interconnected online, IDSov emerges as a vital means for Indigenous peoples to preserve and strengthen their cultural identities while leveraging emerging technologies to achieve individual and communal aspirations (Kukutai & Taylor 2016a; Walter et al., 2021).
... Nonetheless, the open data movement overlooks that Indigenous Peoples are rights holders, not stakeholders; they have the right to govern data about their people, lands, and resources, including decision-making about when, how, and why data are used, as well as how much control to exert over data (Carroll et al. 2019;Hudson et al. 2023). The big data movement builds on the open data movement by amalgamating open data to create large-scale datasets to solve "society-wide problems" (2022) Data Attributes or properties that represent a series of observations, measurements, or facts that are suitable for communication and application Smith (2016) Data sovereignty ...
... Unlike in Euro-Western conceptualizations of data, Indigenous data belong to the collective; they have been generated collectively across generations and tested over time, and a Nation's members share responsibilities to the Nation to ensure Indigenous data are passed to future generations (Cajete 2000;Simpson 2004;Kukutai and Taylor 2016;Carroll et al. 2019;Walter and Carroll 2021). In this sense, Indigenous data are fundamental to who Indigenous Nations are as Peoples (Smith 2016;Carroll et al. 2019). Indigenous data are also highly contextual in that its generation, stewardship, and application are place-based (Rodriguez-Lonebear 2016;Johnson-Jennings et al. 2019). ...
... For example, non-Indigenous researchers have used Indigenous data without properly attributing or acknowledging it as coming from Indigenous Peoples, lands, and waters; Indigenous data have been stolen and used to enrich non-Indigenous peoples and Nations through bioprospecting and biopiracy; non-Indigenous people have interpreted Indigenous data without cultural or contextual knowledge; and non-Indigenous researchers have claimed authority over Indigenous Peoples through their interpretations of Indigenous data (Schnarch 2004;Smith 2021;Mc Cartney et al. 2022;Ignace et al. 2023). Today, Western approaches to data management have created three distinct but related needs for the management of Indigenous data to facilitate IDS: (1) government-to-government processes that recognize Indigenous data as being on equal footing with data collected using Western scientific methods; (2) safeguarding ID from misuse; and (3) high-quality data that meet the needs of Indigenous Peoples (e.g., data for governance) (Smith 2016;Carroll et al. 2019). ...
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In this paper, we argue that Indigenous data sovereignty (IDS) is vital for addressing threats to ecosystems, as well as for Indigenous Peoples re-establishing and maintaining sovereignty over their territories. Indigenous knowledge-holders face pressure from non-Indigenous scientists to collaborate to address environmental problems, while the open data movement is pressuring them to make their data public. We examine the role of IDS in the context of cumulative effects and climate change that threaten salmon-bearing ecosystems in British Columbia, guided by content from an online workshop in June 2022 and attended exclusively by a Tier-1 audience (First Nations knowledge-holders and/or technical staff working for Nations). Attention to data is required for fruitful collaborations between Indigenous communities and non-Indigenous researchers to address the impacts of climate change and the cumulative effects affecting salmon-bearing watersheds in BC. In addition, we provide steps that Indigenous governments can take to assert sovereignty over data, recommendations that external researchers can use to ensure they respect IDS, and questions that external researchers and Indigenous partners can discuss to guide decision-making about data management. Finally, we reflect on what we learned during the process of co-creating materials.
... Many scholars have iterated that we are in the midst of a 'data revolution' that has outpaced our ability to develop effective data governance policies (e.g., Kukutai and Taylor, 2016;Rainie et al., 2017;Garba et al., 2023), with existing Indigenous governance challenges slated to become greater in an era of 'open data' and 'big data' 19 movements. Both could "undermine Indigenous sovereignty more broadly" (Cannon et al., 2024, p. 2;Smith, 2016;Carroll et al., 2019;Leone, 2021;Hudson et al., 2023;Jennings et al., 2023), exacerbating an existing need for community-led data practices and policies that sustain, protect, and elevate Indigenous knowledge systems. We recognize that data governance will "drastically change and develop in the coming years and decades as agreements are made, technical capacities are established, and as. . ...
... We offer the reminder that ultimately, Indigenous data governance "is a journey, not a destination" (Carroll et al., 2019, p. 15;Smith, 2016). For now, we leave readers with the words of Paulatuk Hunters and Trappers Committee Board member and co-author Jody Illasiak, who commented that the Statement of Shared Understanding for Traditional Knowledge Documentation is a starting place that "gives us access to ensuring our process up here is right" (personal communication, J. Illasiak, 19 June 2024), and Board member and co-author Lawrence Ruben, who remarked that "we are amongst a group of people who are putting pen to paper and ensuring that this is going to protect us" (personal communication, L. Ruben, 19 June 2024). ...
Article
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In the Canadian Arctic, we posit that locally-relevant Indigenous data governance frameworks are necessary in light of a paucity of guiding practices and policies for environmental researchers working in partnership with communities. To centre data governance decision-making in a community and to support Indigenous self-determination as affirmed in federal commitments, Fisheries and Oceans Canada researchers and the Paulatuk Hunters and Trappers Committee (Paulatuk, Inuvialuit Settlement Region) co-developed a data governance Statement of Shared Understanding for Traditional Knowledge Documentation specific to an interview project. We detail the steps and dialogue that characterized the creation of this statement over several months, so that others may build from these efforts when appropriate. Second, we highlight five emergent considerations that may strengthen future data governance efforts and inform policy, including: community and project context, the changing digital landscape, individual and collective knowledge protections, planned project outputs, and confidentiality and anonymity nuances. We offer these insights to advance evolving Indigenous data governance conversations, initiatives, and policies in institutional and community spaces.
... Indigenous Peoples as sovereign collectives activate IDSov through the interrelated processes of decolonizing data and IDGov (Rodriguez-Lonebear 2016;Smith 2016;Walter et al. 2018;Carroll, Rodriguez-Lonebear, and Martinez 2019;Carroll and Cummins 2024). Although not dealt with in this article, decolonizing data occurs when Indigenous Peoples replace non-Indigenous norms with Indigenous systems and frameworks that define data, how they are collected, who owns them, who has access, and how they are to be used into the future (Carroll, Rodriguez-Lonebear, and Martinez 2019). ...
... For Indigenous Peoples, IDGov at its core involves being a good ancestor, collaborating with other data stewards, and establishing data-driven futures by Indigenous Peoples for Indigenous Peoples (Carroll, Rodriguez-Lonebear, and Martinez 2019). Relationships are also at the core of IDGov and with further development of Indigenous Peoples' own data governance mechanisms and principles, opportunities for strengthening nation-to-nation relationships between Indigenous and non-Indigenous data actors expand (Smith 2016;Carroll, Rodriguez-Lonebear, and Martinez 2019;Walter and Carroll 2021). Implementing IDGov within external data systems and with other data actors supports Indigenous Peoples' protection and control of data and increases access to, use of, and benefit from the data . ...
Article
This article provides foundational definitions connected to Indigenous Peoples' data in relation to information institutions, specifically libraries and archives. The authors explain the relationship between Indigenous Data Sovereignty (IDSov) and Indigenous Data Governance (IDGov) before moving into a general overview of norms and principles related to enhancing IDSov and implementing IDGov and finishing with the CARE Principles for Indigenous Data Governance (Collective Benefit, Authority to Control, Responsibility, and Ethics). This article also provides examples of the application and implementation of the CARE Principles in libraries and archives, including Community-Driven Archives, Indigenous Librarianship, Local Contexts Labels and Notices in Libraries, and Language Materials. This article concludes with recommendations for applying the CARE Principles in information institutions. The purpose of the article's information is to provide foundational article, definitions, resources, and perspectives for information institutions and professionals, specifically librarians and archivists, to support IDSov and apply and use IDGov principles from Indigenous Peoples' viewpoints. The authors' intention is to show the importance of this work in communities, not just in information institutions. This article also highlights the importance of Indigenous librarianship when operationalizing IDGov. This article acknowledges the work being done in various information institutions to de-silo information practices and incorporate Indigenous Peoples' perspectives.
... Data sovereignty, in the most general sense, ensures that data are subject to the laws and governance structures of the country or nation where they are collected. Indigenous Data Sovereignty is the right of Indigenous peoples to own and govern data about their communities, resources, and lands, meaning they are in control of how these data are accessed and used (Kukutai and Taylor 2016;Smith 2016;Rainie et al. 2019;McCartney et al. 2022;Diviacchi 2023). Indigenous Data Sovereignty can be implemented through Indigenous • Provide educational resources on data equity and associated topics (e.g., as part of doctoral training programs). ...
Article
Full-text available
In the last 50 years, the field of paleobiology has undergone a computational revolution that opened multiple new avenues for recording, storing, and analyzing vital data on the history of life on Earth. With these advances, the amount of data available for research has grown, but so too has our responsibility to ensure that our data tools and infrastructures continue to innovate in order to best serve our diverse community. This review focuses on data equity in paleobiology, an aspirational goal, wherein data in all forms are collected, stored, shared and analyzed in a responsible, equitable, and sustainable manner. While there have been many advancements across the last five decades, inequities persist. Our most significant challenges relate to several interconnected factors, including ethical data collection, sustainable infrastructure, socioeconomic biases, and global inequalities. We highlight the ways in which data equity is critical for paleobiology and stress the need for collaborative efforts across the paleobiological community to urgently address these data equity challenges. We also provide recommendations for actions from individuals, teams, academic publishers, and academic societies in order to continue enhancing data equity and ensuring an equitable and sustainable future for our field.
... Data sovereignty and Indigenous cultural and intellectual property (ICIP) are critical to the development of any framework, especially when working with Indigenous knowledge systems (Kukutai and Taylor 2016; Gualinga et al. 2023). Decolonising data-collection systems requires cross-cultural collaborations beyond 'surface-level' engagement to enhance self-determination in decision-making, participation, and capacity building (United Nations General Assembly 2007;Davis 2016;Smith 2016;National Environmental Science Program 2018). Core to this is ensuring that Indigenous stakeholders maintain full ownership and authority over the collection, storage, analysis, use, and re-use of data such that cultural knowledge is accessible at all times within their respective Indigenous organisations (Davis 2016;Carroll et al. 2019;Hudson et al. 2023). ...
Article
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Warning This article contains names and/or images of deceased Aboriginal Peoples. Context The global biological-diversity crisis has resulted in a widespread uptake of market mechanisms to promote conservation. Despite widespread recognition of Indigenous-led contribution to biodiveristy conservation, market mechanisms are often derived from Western scientific approaches that do not appropriately incorporate Indigenous cultural values and objectives. Aims This research sought to produce a proof-of-concept case study for a novel ‘Biocultural Credit Assessment Framework’ (BCAF) to facilitate design of an Indigenous-led biocultural conservation project in response to ongoing decline of culturally significant fauna in north-eastern Arnhem Land, Australia. The BCAF is underpinned by Indigenous identification of project dimensions, combining biological and cultural values and aspirations, which could form assessable foundations of a potential Indigenous-led biocultural credit project. Methods Semi-structured interviews were conducted with nine Yolŋu Elders over 2 days. A three-stage thematic analysis using pre-defined coding categories and both latent and semantic level analysis were used to elucidate key components of a biocultural project from Elder responses, including biocultural concerns, actions, targets and indicators. Key results Yolŋu Elders expressed six key concerns about local fauna, including the following: that some animals were no longer seen; youth were not learning cultural knowledge; invasive-species impacts; reliance on shop food; and Western influences. These concerns were linked to three key targets, including improved cultural transmission, access and use of more bush foods, and seeing ‘species of decline’ again. Ten key indicator groups assessed by a mix of Indigenous and Western methodologies were identified and revolved around biophysical and cultural learning parameters to measure the impact of actions to progress targets. In total, six actions were identified, including spending more time on Country, science-based environmental management strategies and knowledge sharing. Conclusions The BCAF elucidated key components of an Indigenous-led biocultural conservation project as identified by Elders. A mix of biophysical and cultural learning indicators assessed both qualitatively and quantitatively could be used to feed into a potential biocultural credit market to enhance project delivery. Implications Further research is required to progress this conceptual framework with Cultural Advisors and real financial partners to further elucidate challenges, opportunities, and next steps towards an inclusive biocultural market.
Article
هدف الدراسة: تهدف الدراسة إلى تعرّف أثر حوكمة البيانات في الأداء المؤسسي عبر الذكاء الاصطناعي القابل للتفسير بوصفه متغيراً وسيطاً.تصميم/ منهجية/ طريقة الدراسة: تنتمي هذه الدراسة إلى الدراسات الوصفية التحليلية؛ إذ تساعد في تحليل الظاهرة محل الدراسة من خلال الحصول على معلومات عنها، ووصف متغيراتها، وتحديد العلاقة بين هذه المتغيرات.عينة الدراسة وبياناتها: اعتمدت هذه الدراسة على منهج المسح الاجتماعي بطريقة العينة لآراء عينة عشوائية، قوامها 384 من المديرين التنفيذيين لتقنية المعلومات الملمين بتقنيات الذكاء الاصطناعي، وجمعت البيانات باستخدام أداة الاستبانة.نتائج الدراسة: توصلت الدراسة إلى استنتاجات عدة، أهمها أن الممارسات المتعلقة بمتغيرات الدراسة الثلاثة متوافرة بدرجة مرتفعة في المنظمات، ووجود اختلاف معنوي في تقديرات الخبراء نحو درجة ممارسة منظماتهم للذكاء الاصطناعي القابل للتفسير وفقاً لاختلاف عدد سنوات الخبرة، وأن الذكاء الاصطناعي القابل للتفسير يلعبدور الوساطة الجزئية المكملة في علاقة حوكمة البيانات بالأداء المؤسسي؛ إذ بلغ التأثير غير المباشر من خلال الذكاء الاصطناعي القابل للتفسير بوصفه متغيراً وسيطاً (0.144) والتأثير المباشر لحوكمة البيانات على الأداء المؤسسي (0.452)؛ مما يعني أن التأثير الكلي قدره (0.596).أصالة الدراسة: لم يتم قياس تأثير الذكاء الاصطناعي القابل للتفسير متغيراً وسيطاً بين المتغير المستقل (حوكمة البيانات) والمتغير التابع (الأداء المؤسسي) في الدراسات العربية والإنجليزية السابقة، على قدر علمنا.حدود الدراسة وتطبيقاتها: الحدود البشرية: طبقت الدراسة على عدد من المديرين التنفيذيين لتقنية المعلومات الملمين بتقنيات الذكاء الاصطناعي.الحدود الزمنية: أجريت الدراسة خلال فترة زمنية محددة استغرقت ثلاثة أشهر.الحدود الموضوعية: اقتصرت الدراسة على ثلاثة متغيرات، هي: حوكمة البيانات، والذكاء الاصطناعي القابل للتفسير، والأداء المؤسسي.
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