Research Data Management

It is never too early in your academic career to start learning about Research Data Management (RDM). The link below will take you to the UFV Library's Research Data Management (RDM) Libguide. RDM refers to the collection, documentation, storage, sharing and preservation of research data from the beginning to the end of a research project and beyond. RDM can be applied to all disciplines and all types of data, adhering to relevant legal and ethical issues. The UFV Library RDM Libguide provides information on data management plans (DMPs), tools, ethics, file naming conventions, data preservation and deposit, etc. [The boxes below include just a few of the topics covered in the full RDM guide.]

UFV Research Data Management Libguide

Data Sharing and Management Snafu in Three Short Acts

Source: Hanson, K., Surkis, A., & Yacobucci, K. (2012, December 12). Data sharing and management snafu in 3 short acts [Video file]. NYU Health Sciences Libraries. Retrieved from: https://youtu.be/N2zK3sAtr-4

This short, fun video is a good introduction to the importance of managing data.

Orcid iD - Stay connected with your research output

ORCiD iD (Open Researcher and Contributor iD) is a persistent identification system designed to permanently connect researchers to the bibliographic work they publish throughout their lives. ORCiD is recognized by and interoperable with most scholarly institutions, funders and publishers. By using ORCiD, funding institutions can identify individual scholars quickly and accurately, and review your past publications and potential work collaborators without being confused by other scholars with similar names.

Think of ORCiD iD as an ISBN for a researcher. Having an ORCiD iD ensures that your bibliographic output will be properly connected to you regardless of:

changes in name
translation/transliteration of your name across languages
changes with your institution affiliations
relocation to another country
publishing in another discipline

While persistent identifications such as DOIs are created to provide permanent links to information and datasets, ORCiD ensures you receive proper attribution for both your datasets and research output.

For more information on ORCiD iD, please visit:

ORCiD: Connecting research and researchers

It is free to create an ORCiD iD:

ORCiD: Create your ORCiD iD

Indigenous Data Sovereignty Resources

BC First Nations Data Governance Initiative
The British Columbia First Nations’ Data Governance Initiative will equip First Nations with the technological and human resource capacity to govern and own their communities’ data.
First Nations Information Governance Centre
FNIGC is responsible for a wide range of work including the development and administration of national First Nations survey initiatives: the First Nations Regional Health Survey (FNRHS), the First Nations Regional Early Childhood, Education, and Employment Survey (FNREEES), and the First Nations Labour and Employment Development (FNLED) survey.
GIDA: Global Indigenous Data Alliance
The Global Indigenous Data Alliance (GIDA) is a network of Indigenous researchers, data practitioners, and policy activists advocating for Indigenous Data Sovereignty within their nation-states and at an international level. GIDA welcomes the participation of Indigenous data users, networks, community groups, information and communications technologies providers, researchers, policymakers, planners and businesses that share our aim. The aim of the Global Indigenous Data Alliance is to progress International Indigenous Data Sovereignty and Indigenous Data Governance in order to advance Indigenous control of Indigenous Data.
OCAP
The First Nations principles of OCAP® are a set of standards that establish how First Nations data should be collected, protected, used, or shared. They are the de facto standard for how to conduct research with First Nations. Includes a link to an online course in OCAP.

Indigenous Data Sovereignty

Please be mindful when you work with indigenous communities and their data; take into account the historical power imbalance between settlers and those who were already on this land. Even if you are not working with a specific indigenous community, the data you collect may be considered cultural, and may therefore require culture-based consultation and protocols. Regardless of where the data is stored, indigenous peoples have ownership and the right to access data about themselves and their communities.

Please consult the University of British Columbia Library’s Principles for Indigenous Data Governance:

Principles for Indigenous Data Governance

FAIR and CARE

The FAIR principles for sharing research data (Findable, Accessible, Interoperable, Reusable) can actually further entrench the historical power differences between settlers and indigenous people. This open data/open science approach does not sufficiently take into account indigenous people’s rights to access and control their own information.

In response, the Global Indigenous Data Alliance, or GIDA, has provided the CARE framework (Collective benefit, Authority to control, Responsibility, Ethics) to complement the FAIR principles, thus acknowledging and advocating for indigenous autonomy and innovation.

The Global Indigenous Data Alliance (GIDA)

As provided by the GIDA website, here’s a closer look at the four pillars of the CARE Principles for Indigenous Data Governance:

Collective benefit: “Data ecosystems shall be designed and function in ways that enable Indigenous Peoples to derive benefit from the data.”
Authority to control: “Indigenous people have the right and authority to control their data.”
Responsibility: “Researchers working with Indigenous Peoples have a responsibility to support Indigenous Peoples rights.”
Ethics: “Indigenous Peoples’ rights and wellbeing should be the primary concern at all stages of the data life cycle and across the data ecosystem.”

You can find the full document here:

CARE Principles for Indigenous Data Governance