V1.0.0 is the first official release of the Generic Place-based Data Policy. That includes significant community feedback on the V0.0.0 from February 2021 through June 2022.
V1.0.2 includes the correct DOI and citation. It also includes
Hypothes.is for additional annotations.
The stewardship of research data, material samples, and software
underpins scientific reproducibility, synthesis, and reuse. Embedded in
a multidisciplinary international research network, [Place] is the key
use case for the FAIR Island Project (www.fairisland.org), which aims to
demonstrate the benefits of global best-practice drawing on the FAIR
data principles1 and the CARE principles for Indigenous data
governance2, as well as guidance towards FAIR
principles for research software3. The FAIR Island Project and [Host
Organization][Place] Society are developing the [Place] Data trust as a
core component of the [Place] IDEA.
[Host Organization] - Organization that controls access to the [Place], described in Preamble. Sponsors organizations that provide in-kind support, through donation, provision of people or a facility or instrumentation necessary for the development of the resource, etc. (DataCite Sponsor definition);
Neil Davies, John Chodacki, Catherine Nancarrow, Maria Praetzellis, & Erin Robinson. (2022). FAIRIslandProject/Generic-Place-based-Data-Policy: V1.0.2 https://doi.org/10.5281/zenodo.6977454
Tl;dr
In return for the support and access to [Place] (the physical island and data derived from it) provided by [Host Organization], participants in research projects agree to make their metadata and prepublication data available to each other through a “[Place] Data Trust” that facilitates data re-use according to mutually agreed terms and a code of conduct. The Trust is maintained by the [Host Organization] to support decision-making for wise and equitable stewardship of the [place]. It follows best-practice in research data stewardship. This policy does not impose legally-binding conditions nor replace or impinge on legal obligations and/or institutional policies that might apply.
This is a living document. Ideas or feedback can be contributed through commenting directly using Hypothes.is which will create issues in the Github repo or you can directly create an issue: https://github.com/FAIRIslandProject/Generic-Place-based-Data-Policy/issues
The owners of [Place] have entrusted [Host Organization] (hereinafter “[Host Organization]”)as the [Place]’s’s environmental steward with authority to develop and implement the [Place] Conservation & Sustainable Use Plan (hereinafter the “CASUP”)4, and to manage access to the [Place] for research, education, or conservation purposes. All projects must be authorized by [Host Organization], which may seek advice from its [governing bodies like Scientific Advisory Board (SAB), Cultural Advisory Board (CAB), and/or CASUP Committee, as appropriate].
The handling of research data and other research outputs derived from [Place], including material samples and intellectual property, is a key consideration for [Host Organization]. The current document sets out its policy in this regard. As the environmental steward of [Place], [Host Organization] has an interest in the stewardship of data and material samples derived from the [Place] under its auspices. In addition to its role as environmental steward of ‘physical’ [Place], [Host Organization] is ready to act as the steward of the [Place]’s “digital twin” or “avatar”, and to that end has established the [Place] Data trust in the context of a collaborative program:
[Host Organization] is a collaborating node of the Island Digital Ecosystem Avatars (IDEA) Consortium which aims to build use-oriented 4-D simulations of entire social-ecological systems5. Island avatars leverage “digital twin” technology, and draw on all the data and knowledge about a place, to simulate future states of the social-ecological system under alternative scenarios of human activity and/or environmental change. [Place] IDEA enables potential actions (e.g., conservation management) to be assessed in silico prior to deploying them. It serves as a decision-support tool for the [Host organization] CASUP, facilitating scenario-based planning.
The current document (hereinafter “the Policy”) represents guidelines that define the general terms under which [Host Organization] grants Participants in scientific Research Projects (hereinafter “Participants”) access to [Place]. The document is intended to be ‘socially binding’ with respect to the principles and common understanding described herein. The Policy does not preclude or replace any legal obligations or responsibilities that Participants or the institutions with which they are affiliated might incur, for example, under the regulations and laws of French Polynesia.
In return for the permission and support provided by [Host Organization] to access [Place] for research purposes, Participants in scientific Research Projects (hereinafter “Participants”) agree to contribute to the conservation and sustainable use of the [Place] by participating in the [Place] IDEA, contributing to the [Place] Data trust, and abiding by the IDEA Consortium Code of Conduct (see Exhibit – IDEA Code of Conduct).
Participants who lead Projects (hereinafter “Principal Investigators” or “PIs”) agree to submit a Project Data Management Plan (hereinafter the “DMP”), using the DMP Tool6 or equivalent, with their initial Project application to [Host Organization]. Modifications of the DMP might be required prior to [Host Organization] granting approval to access the [Place]. [Host Organization] will provide a DMP template through the DMPTool that will:
Provide ORCID IDs7 for all Participants in the Project
Describe intended outputs8 (which might include datasets; original software; material samples)
List any intended intellectual property (e.g., patents, copyright, etc.)
List potential commercial uses of intended outputs
Describe potential ethical, legal, or social consequences arising from the collection, distribution, use or reuse of material samples or data, and describe how these issues will be addressed and by whom
Commit to using the Traditional Knowledge/Biocultural Notices9 where appropriate to facilitate FAIR with CARE future data
Participants agree that [Host Organization] may publish a Marker Paper as an Open Access document (e.g., in Zenodo10) authored by the Principal Investigators and drawing on their Project Application and DMP. [Host Organization] may also make available a Data Dashboard as a public portal to the Project’s metadata in the [Place] Data trust .
Participants agree to make all reasonable efforts to utilize and maintain identifiers and linkages generated during the Project, including the DOIs for Marker Papers and DMPs, and to connect them to future derived outputs, enabling dynamic updates to the [Place] Data trust .
If at some point during a Project, circumstances change and Participants can no longer contribute data under the terms described in its DMP and compliant with the terms described in this Policy (e.g., if commercial opportunities arise) the Principal Investigator shall request to make an arrangement with the [Host Organization].
Purpose: The [Place] Data Trust is maintained by [Host Organization] to help ensure that research data, material samples, and software relevant to [Place] are as Findable, Accessible, Interoperable, and Reusable (FAIR) as possible, in accordance with global best practice with respect to ethical, legal, social, and scientific considerations. The [Place] Data trust consists primarily of metadata and transaction records with links to metadata, data, or software that are maintained in suitable third-party repositories.
Stewardship: [Host Organization] agrees to provide stewardship of Project metadata and data in the [Place] Data Trust to the extent its resources allow, following the terms outlined in this Policy, and as stated in the Project’s DMP or any agreed amendments thereof.
Project Participants agree that [Host Organization] may maintain copies of Project metadata, data, and software in the [Place] Data trust11 that are contributed by the Project on a non-exclusive basis and with “no rights reserved” (under Creative Commons CC0). If justified in the original DMP or its subsequent amendments, more restrictive licenses may be applied (e.g., due to ethical, legal, social, or economic aspects - see Article 4)
[Host Organization] is under no legal obligation to maintain Project metadata, data, and software in the [Place] Data trust and Project participants are responsible for and free to archive its metadata, data, or other outputs elsewhere as appropriate.
By default, there is no embargo period on the release of metadata or data. If requested and justified in the DMP, however, an embargo period may be granted for specified data (though not for metadata) for up to 1 year after the stated end-date of the Project.
[Host Organization] personnel and other IDEA Consortium collaborators who have agreed to abide by the IDEA Code of Conduct are allowed pre-publication access and (re)use of data during any embargo period (see Exhibit 1).
Legal Structure: The [Place] Data trust is a voluntary non-legally binding relationship between the Project, its Participants, and [Host Organization] (which may have moral weight though not necessarily legal status).
Beneficiaries of the [Place] Data trust include all stakeholders in [Place] including those who provide data, those who are provided with prepublication access to the data (such as the IDEA Consortium), and those who benefit from what is created from the data (most importantly the [Place] of Tetiaroa and its stewardship through the CASUP).
Each project’s DMP shall include a description of the physical collection and removal (extraction) of material samples from [Place] - whether archeological, geological/chemical, biological, or social (built environment). Projects shall describe in their DMP how they plan to register these sampling events, apply unique identifiers, implement relevant metadata standards, and track derived material (sub)samples, (meta)data, and other derived outputs.
[OPTIONAL, if you have specific policies with respect to geo, bio, or anthropological samples, insert here for example: In the case of biological samples, the [Host Organization] has established the [Place] Biocode & Genomic Observatory, a scientific research program of the [Institution/s] with the following objectives: ]
In accordance with the Convention on Biological Diversity (Nagoya Protocol) and associated regulations of the [Country] government, all biosamples collected on [Place] contribute to the option[[Place] Biocode & Genomic Observatory] and shall comply with the [Template ABS Agreement see sample: “Tetiaroa Access & Benefit Sharing (ABS) Agreement” . ]
Projects with commercial intent require authorization from [Host Organization] (and possibly other parties) under separate project-specific, written agreements. Commercial use is defined here as:
Disputes concerning the use of data or samples in ways that breach the good-faith engagements made under this data policy are adjudicated by [Host Organization] with input from its Advisory Boards, which will hear from both sides and make recommendations. Sanctions for failing to comply with the IDEA Code of Conduct or other aspects of the [Place] Data Policy may include the rescinding of rights of future access to [Place].
This dispute resolution mechanism does not cover breaches of applicable laws or regulations, which shall be dealt with by the competent authorities.
The following is adapted from the Toronto Statement on Prepublication International Data Sharing14.
Participants in the IDEA Consortium agree to abide by the following
principles:
Respect the Privacy, Ethical, and Legal rights of
anyone, including Indigenous peoples15, who might be adversely affected by the
collection, distribution, use or reuse of data, samples or derived
information and knowledge. Apply consent, confidentiality, anonymization
and other ethical considerations, where appropriate.
Rapid prepublication data release to the IDEA Consortium (e.g., through one of its regional chapters such as the [Place] IDEA), which is a program with the following characteristics:
Large scale (requiring significant resources over time) and broad utility
Creating reference data sets
Associated with community buy-in
Coordinating nodes (e.g., [Host Organization] for the [Place] IDEA) should facilitate the specification of data-release policies and compliance with agreed DMPs by:
Explicitly informing applicants of data-release requirements, especially mandatory prepublication data release
Ensuring that evaluation of data release plans is part of the peer-review process
Proactively establishing analysis plans and timelines for projects releasing data prepublication
Fostering investigator-initiated prepublication data release
Helping to develop appropriate consent, security, access and governance mechanisms that protect research Participants while encouraging prepublication data release
Providing long-term support of databases
Project leaders should state their intentions and enable analyses of their data or material samples by:
Informing data/sample users (e.g., through a ‘marker paper’ at initiation of the project) about the data/samples being generated, data standards and quality, planned analyses, timelines, and relevant contact information
Providing relevant metadata and documentation that will assist other researchers in reproducing and/or independently analyzing the data, while protecting privacy and other ethical, legal, and social aspects concerning individuals and communities
Ensuring that all Participants in their Project are informed that their data will be shared with other scientists in the IDEA Consortium and the associated terms
Publishing their initial global analyses in a timely fashion
Providing a copy of their data, protocols, software and other outputs, in an easily retrievable form and with appropriate metadata and documentation that facilitates usage of both pre-processed and processed data (e.g., following FAIR data principles)
Ensuring the long-term maintenance of these resources (e.g., through deposition in appropriate repositories and collections).
Data analysts/users should freely analyze released prepublication data or samples and act responsibly in publishing their analyses by:
Respecting the scientific etiquette that allows data producers to publish the first global analyses of their data set
Reading the citable document(s) associated with the Project(e.g., ‘marker paper’)
Accurately and completely citing the source of prepublication data, including the version of the data set
Being aware that released prepublication data may be associated with quality issues that will be later rectified by the data producers
Contacting the data producers to discuss publication plans in the case of overlap between planned analyses
Ensuring that use of data does not harm Participants and is in conformity with ethical, legal, and social aspects and approvals
Making data Findable, Accessible, Interoperable, and Reusable, particularly for machines https://doi.org/10.1038/sdata.2016.18 ↩︎
Collective benefit, Authority to control, Responsibility, and Ethics - CARE principles for Indigenous data governance. GIDA https://www.Gida-Global.Org/care↩︎
Lamprecht, Anna-Lena et al. (2020) ‘Towards FAIR Principles for Research Software’. DOI: 10.3233/DS-190026↩︎
Sample CASUP https://www.tetiaroasociety.org/sites/default/files/research-docs/Tetiaroa-CASUP.pdf↩︎
Simulating social-ecological systems: the Island Digital Ecosystem Avatars (IDEA) consortium https://doi.org/10.1186/s13742-016-0118-5↩︎
https://wellcome.ac.uk/funding/managing-CASUP/developing-outputs-management-plan↩︎
Prepublication data sharing Toronto International Data Release Workshop Authors Nature 461, 168-170 (10 September 2009) doi:10.1038/461168a↩︎
Collective benefit, Authority to control, Responsibility, and Ethics - CARE principles for Indigenous data governance. GIDA https://www.Gida-Global.Org/care↩︎