One of the main goals of the NLIS is to empower Native Lands through data and support native efforts to build stronger sovereign research capacity. Because we are fully aware of the link between historical land oppression and data colonialism, we are committed to support the development of data sovereignty in native lands.
Native Data Sovereignty: A Summary
Table of Contents
Increasingly, what we know about the world is shaped and defined by data. It shapes the way we think, influences our behavior as individuals, shapes our social norms, and guides our policies and laws. Data can also be a powerful tool for surveillance and control and has been an integral part of European colonization around the world and especially for the unique brand of settler colonialism that took shape in North America. At its most basic, settler colonialism functions to replace indigenous populations with an invasive permanent settler population. Historically, this has occurred through outright genocide, assimilation and/or apartheid.
Sadly, all three have been part of the colonization of North America and, in large part, these policies were data driven. What that means is that data was collected and used to monitor indigenous populations and their lands and to assess the efficacy of specific replacement policies employed. To this end, the United States Government has maintained meticulous records about indigenous populations, their health, incomes, education, land status, law and order, etc. And, despite the fact that Native American’s have earned recognition as sovereign nations within the United States, the Government still maintains almost complete control over this data.
Additionally, Native communities have also been excluded from other datasets, collected by the U.S. Government, that could be utilized to strengthen their self-determination, enhance their access to and control over lands, advocate for their rights and increase their political power (resisting replacement). Gaining control over data about your people and lands is a crucial pivot around which native nations can organize truly sovereign land management.
Documenting Data Colonialism in Native Land
Two colonial patterns intertwine to create secrecy and impede on the exercise of sovereign land management:
- The historical mismanagement of tribal land through the passing of acts that do not hold native interests in priority and in the contrary benefit non-Natives
- A pattern of concealing existing land data or not collecting it altogether
To this day, much of the data about native lands and native peoples is collected and maintained by the United States Government. In 1824, the US Bureau of Indian Affairs (BIA) was appointed by the US Congress to “enhance the quality of life, to promote economic opportunity, and to carry out the responsibility to protect and improve the trust assets of American Indians, Indian tribes and Alaska Natives”.
Despite this huge responsibility, there is very little transparency or accountability when it comes to the BIA’s performance as Trustee. In fact, it has long established precedence in the deep mismanagement and concealment of data, in direct opposition of its own stated role. In 1928, the Meriam report was already clearly denouncing mismanagement practices occurring as part of the BIA’s involvement on native land, supported by the deliberate act of data concealment or misreporting.
The most recent report led by the Department of Interior’s Office; the 2009 Program Evaluation of the BIA Realty and Trust Program, acknowledged that: “The BIA Realty and Trust Program plays a key role in keeping the DOI promise “to protect and improve the trust assets of American Indians, Indian tribes, and Alaska Natives.” yet he excoriated the Bureau for its continued failure to develop meaningful performance measures. Specifically, the report states that in “Real Estate Services, acquisition and disposal of land and lease compliance activities are significant functions that also lack measures.” In brief, even federal institutions recognize their role in providing inadequate data for native land, although no measure is effectively taken to remediate this pattern. The failure of the BIA to provide even basic information about leasing and transactions of Native lands makes public scrutiny of these programs difficult, if not impossible.
Towards Native Data Sovereignty
Ultimately, Indigenous-led research must be at the forefront of producing knowledge for native land and beyond. According to Tuhiwai Smith (2014), “Indigenous research seeks to recover a peoples’ path to well-being, to find the new/old solutions that restore Indigenous being in the world. The impacts are part of an intergenerational long game of decolonization, societal transformation, healing and reconciliation, and the recovery of a world where all is well”. However, we have shown how indigenous research capacity is seriously undermined by the lack of access to relevant and appropriate data.
This quote reminds us that the path to indigenous data sovereignty is not developing in a vacuum; it is the manifestation of an ongoing struggle for asserting existence and negotiating boundaries since time of first contact.
Indigenous data sovereignty debates have increasingly developed across the land. They establish guidelines suggesting regulations for data collection, data management (Kukutai & Taylor, 2016; Schultz & Rainie, 2014) and how to handle the relationship between native vs. non-native science and knowledge (Chino & Debruyn, 2006; Maldonado et al., 2016; Moller, Berkes, Lyver, & Kislalioglu, 2004; Mutua & Swadener, 2004; Tuck, McKenzie, & McCoy, 2014; Tuhiwai Smith, 1999).
While the goal remains the full development and use of data that reflects native peoples worldviews in their diversity and depth, the oppression still occurring on Native Land as a byproduct of the lack of translated data collected and used by non-Natives calls for translation models. In other words, colonized datasets also need to be accessible to native peoples so they can act and stop the land oppression which results from their use. An excellent example can be found in how it is extremely easy for extractive fossil fuel industries to access the same native land tenure data that native peoples struggle to obtain from responsible federal entities.
Ultimately, we could summarize the path forward towards data sovereignty as a triadic movement between 3 complementary goals: 1) Make external data accessible, 2) Develop native-based research, 3) Develop knowledge translation models (see figure below).
Availability of External Data
Holding institutions accountable
Because the sovereignty of native nations is compromised by their trust relationship with the United States Government then the United Government must be held accountable for its performance as trustee. To begin, we believe that accountability must include access to the data required to assess its performance. At its most basic, this must include regular access to data about the status of native lands, land appraisals and transactions, data on leases of native lands and resources held in trust by the federal government, rights-of-ways granted on native lands, data on the individual Indian money (IIM) accounts managed by the federal government, data on loans and loan guarantees made by the federal government that encumber native lands and assets, and data needed by tribes to assess the current and historical impacts of federal policies on Native Americans.
We are encouraged by the recently passed 2019 Open Data Act which proclaims that: “agencies will be called upon to maintain comprehensive data catalogs and designate a nonpolitical chief data officer. The White House Office of Management and Budget will also create a Chief Data Officer Council, comprised of chief data officers from across the government to “establish Government wide best practices for the use, protection, dissemination, and generation of data.” However, we believe a dialogue needs to occur between tribes, individual Native Americans, and native-run organizations and the government to identify a specific set of performance measures and the data that shall be regularly published by the Bureau of Indian Affairs. In addition, we believe the United States Government, out of recognition for the damages caused centuries of data colonialism, should allocate the resources and person-power needed to compile, and where needed, reconstruct the historical data on the topics described above.
Lastly, we believe the U.S. Government has prevented the dissemination of data it collects (in whole, or in part) about Native Americans and their lands. We believe this has been done either to hide malfeasance or through a misguided sense of paternalism (i.e. to “protect” tribes from predatory corporations or other third parties) or a combination of both. We believe this “protection” has done more harm than good by hiding the reality about Native Americans and their lands. The fact is, powerful entities already have access to this data whereas the entities that need it most, tribes and native people, do not. In fact, the government relies on many for-profit contractor, like IHS Markit, to maintain and query their data. These companies are also in the business of providing data to private entities like oil, gas and mineral interests information regarding land ownership, right of ways, land valuations, land cover, soils, etc. That is why we feel it is important that government data, as long as it does not violate the Privacy Act of 1974, be made available to the people who need it most and to the public so it can be utilized, scrutinized and debated by the various stakeholders including researchers, journalists and the public at-large.
Publishing existing data
The NLIS project has demonstrated that, while not easy, it is possible to overcome external data obstacles by utilizing modern GIS technology and archival research. Extended research efforts are required to sort, process and analyze existing data into usable units.
However, in the meantime, we need to push our legislators to enforce existing laws and develop new legislation to mandate the aggregation of data for Native Americans lands into meaningful units, both local (as is the case for GSSURGO and CDL) and national (as is the case for tribal land classification and leasing data). With additional time, we think that FOIA (Freedom of Information Act) could become the third pillar of this approach.
Developing Native-based Research
The second goal is for tribes to continue fostering their own research capacity-building and agenda. This highlights three main questions for native communities to answer:
- What does our native knowledge look like?
- How can we collect knowledge within traditional ways?
- How can it be translated and shared with other knowledge systems?
Native ways of knowing
The lack of data sovereignty on native land (Kukutai & Taylor, 2016) is nested in colonial power dynamics that result in epistemicide (De Sousa Santos, 2014; Grosfoguel, 2017), or the suppression of knowledge systems other than western-based science. Knowledge from indigenous cultural frameworks often remains unheard, due to several processes:
- Absence of formats recognized as legitimate forms of knowledge: much traditional knowledge used to be passed on informally and through oral storytelling
- Use of methods and analyses types that downplay native understandings and the validity of their claims
- Absence of most basic data to sustain land and food claims
Native knowledge is not a single form of knowing. It is characterized by myriad of ways to understand the world. Knowledge is place-based and anchored in the land, which emphasizes the damage caused by external data collection methods. General patterns show that native knowledge is often hardly described in linear ways and tends to interconnect dimensions that are often ignored by mainstream western science models. Additionally, it is often narrated orally and in very visual terms. This makes visualizations a powerful tool to articulate native ways of knowing. In the example below, native wellbeing specialist Thosh Collins attempted to represent what “native wellbeing looks like”.
Native ways of collecting Data
“Information, data, and research about our peoples—collected about us, with us, or by us—belong to us and must be cared for by us.” (US Indigenous Data Sovereignty Network)
Due to its colonial history, the collection of data in Indian country is a particularly sensitive topic. Evaluating local systems come with “many unknown” (First Nations Development Institute & Balbas, 2006), and determining what the right data looks like can prove very complex. However, Rodriguez-Lonebear reminds us that: “Our people have always been data gatherers”. She refers to the ancestral capacity of native community to maintain and transmit culture through traditional knowledge systems. These are a testimony of possible venues for designing local data systems. Local communities should strive to 1) create their own indicators, 2) set their own benchmarks, and 3) organize their own data storage. But such systems can look very different from one native community to another. While data holds strategic power that can help native nations implement a vision to inform decisions, know their assets, track performance and defend their rights, it can be collected and handled in multiple ways that suit a community’s particular vision (Schultz et al., 2014).
In the indigenous literature, community assessments are advocated as critical tools to provide native people with the missing data they need to increase self-determination and autonomy. The now popular Food Sovereignty Assessment Tool first created by the First Nations Development Institute in 2004 has been modified and put in practice by an increasing number of food initiatives (Bell-Sheeter, 2004). It includes survey and workshop templates to conduct a thorough food assessment that takes into account Native worldviews, cultural meaning of food, relationship to the land and governance. It was described during a Food Sovereignty summit as: “a valuable empowerment tool that can best be used by disseminating the assessment to many communities, gathering data, compiling the results, and creating a map of Indigenous Peoples food resources and activities, both at the local level, and for use in developing a national Indigenous Peoples food resource map” (First Nations Development Institute & Balbas, 2006).
A striking example is given by the Diné Food Sovereignty initiative (Woods, 2014). There, the Diné Policy Institute created a comprehensive survey-based assessment of the local food-system investigating its meaning and process. Mapping answers to questions such as “Who is currently working to solve food problems in your community?” allows to draw a picture of the state of local food (Woods, 2014). The same assessment model served as a baseline to create the Native Food Sovereignty Alliance, where strengths and weaknesses of food sovereignty implementation was analyzed (First Nations Development Institute & Balbas, 2006).
With the rise of social media and the increasing access to data and knowledge sharing platform, there has been a resurgence of interest for Native people and especially youth to relearning indigenous knowledge. The common feeling of unworthiness that accompanied the dismissal of indigenous knowledge and knowers tended to further mutter people’s voices. By contrast, the instant networking of indigenous environmental alliances -demonstrated in recent struggles like Standing Rock- enabled people to break geographical isolations and feel empowered in their validity to speak. This further emboldened the organization of indigenous sharing platforms and renewed the hope that learning and sharing could actually impact local communities’ lives for the better. What is currently happening is a new momentum for tribal members to self-organize their knowledge systems. The role of data is crucial in this process.
Developing Translation Models
Much harm was caused to native lands due to translation issues. For this reason, many native researchers consider that knowledge translation is essential to establish dialectic understanding between western science and indigenous knowledge. This can ensure the transparency of data and data-driven decisions and make native knowledge understandable and visible to the rest of the world. Indigenous ways of knowing are currently attempting to gain a voice on a field where they have been systematically silenced. (Cajete (Tewa), 2005; Johnson et al., 2015; Kealiikanakaoleohaililani & Giardina, 2016; Kovach, 2010; Nakata, Nakata, Keech, & Bolt, 2012; Querejazu, 2016; Whyte, Brewer, & Johnson, 2016).
On the one hand, translating knowledge without altering meaning is key to foster the understanding and incorporation of indigenous knowledge into decision-making. On the other hand, native scholars and practitioners are starting to perceive how using western epistemologies and tools while holding on to cultural identity can increasingly open ways for community empowerment, by leveling the fields of social justice and calling on acknowledgement, reparation or remediation of harm systematically done to their communities. This takes knowledge and the mastering of data analysis to present compelling stories to decision-makers. This is why much capacity building-oriented projects are currently happening in Indian country.
Although it does not concern US-specific native knowledge, a recent example of successful knowledge translation is to be found in the alteration of Kate Raworth’s famous Doughnut Economics diagram into the New Zealand Indigenous Te Reo Maori model (see below). While Raworth’s model has been globally acclaimed for its capacity to render the complex balance between the earth’s ecosystem and the social world from a western progressive circular economic thinking, indigenous woman researcher Teina Boasa-Dean pointed out how the Maori understanding of the model would differ. While their first version included Maori-translated terms, she and three other women researchers realized that the whole model had to be reversed to represent the Maori views, as the ecological ceiling had to be placed at the center. Comparing these two models is a good example of the contribution of visual translation models to indigenous data sovereignty.
Commitment of the NLIS
Through innovative methodology and data collection, the NLIS website actively participates in challenging data colonialism. While we recognize the limitations of currently available data processed by the NLIS, we aim for this tool to create a momentum around native land data and data sovereignty.
- To approach our work with a good heart by always doing our best to honor indigenous peoples and indigenous ways of knowing
- To critically and carefully weighing the value of a particular data set for promoting native peoples vs. how that data might compromise a community’s privacy and right to opacity.
- To support native research capacity-building
- To license our data products using the Creative Commons “Attribution-NonCommercial-ShareAlike” so it can be shared
but not be used for commercial purposes.
- To practice a forward-thinking methodology geared towards constantly improving datasets
- To participate in changing the perception of native land through data