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Update on the FAIR4RS WG Case Statement - 31 July 2020

The FAIR4RS Steering Committee would like to thank the community and the RDA TAB for their valuable feedback to the Case Statement. Here we offer a resubmission addressing the minor changes suggested.

 

Summary of changes:

  • Minor additions in audience, RDA WG/IG engagments, and references.
  • A review of section 4 Work Plan, reorganising the milestones to align work with existing Working Groups and community feedback.
  • A review of engagement activities in section 5 Adoption Plan, making it clear and explicit that the general community will be made aware of the developments, invited to contribute and consulted regularly for feedback.
  • Editing section 6, adding aproximate current member numbers. A clarification that community members can join or leave the steering committee, with ongoing continuous disclosure of membership changes.
  • Update of contributors.

We commit to continue working with the members of the community to achieve the deliverables on time.

 

With kind regards,

Paula Andrea Martinez,  on behalf of the FAIR4RS Steering Committee.


Updated Case Statement:
https://www.rd-alliance.org/sites/default/files/case_statement/2020_RDA_FAIR4RS_WG_CaseStatement_REVISION_0.pdf
Original Case Statement: 
https://www.rd-alliance.org/sites/default/files/case_statement/2020_RDA_FAIR4RS_WorkingGroup_CaseStatement.pdf


 

Original text of this page

 

One of the major challenges of data-driven research is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of data and their associated research objects, e.g., algorithms, software, and workflows. To address this, an initial effort to define a "DATA FAIRPORT"1 began in 2014 at the Lorentz workshop and transitioned into developing a set of FAIR data Guiding Principles in 2016. The details of the FAIR data principles2 strongly contribute to addressing this challenge with regard to research data, and the principles, at a high level, are intended to apply to all research objects; both those used in research and that form the outputs of research. Here we focus on the adaptation and adoption of the FAIR principles for the case of research software.

 

Software has become essential for research. To improve the findability, accessibility, interoperability, and reuse of research software3 , it is desirable to develop and apply a set of  FAIR Guiding Principles for software. Many of the high-level FAIR data principles can be directly applied to research software by treating software and data as similar digital research objects. However, specific characteristics of software — such as its executability, composite nature, and continuous evolution and versioning — make it necessary to revise and extend the original data principles.

 

Application of the FAIR principles to software will continue to advance the aims of the open science movement. The FAIR For Research Software Working Group (FAIR4RS WG) will be jointly convened as an RDA Working Group, FORCE11 Working Group, and Research Software Alliance (ReSA) Taskforce, in recognition of the importance of this work for the advancement of the research sector. FAIR4RS WG will enable coordination of a range of existing community-led discussions on how to define and effectively apply FAIR principles to research software, to achieve adoption of these principles.

 

The working group will deliver:

  • A document developed with community support defining FAIR principles for research software
  • A document providing guidelines on how to apply the FAIR principles for research software (based on existing frameworks)
  • A document summarising the definition of the FAIR principles for research software, implementation guidelines and adoption examples.

Please see https://www.rd-alliance.org/sites/default/files/case_statement/2020_RDA_FAIR4RS_WorkingGroup_CaseStatement.pdf for the full Case Statement.


1 See also DTL, 2014; and Kok, 2014.

2 See also Wilkinson et al., 2016.

3 For further information refer to Clément-Fontaine et al., 2019.

 

 

Review period start:
Monday, 11 May, 2020 to Thursday, 11 June, 2020
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March 30, 2020

Objectives

The objectives of this Working Group are twofold:

  1. to clearly define detailed guidelines on data sharing under the present COVID-19 circumstances to help stakeholders follow best practices to maximize the efficiency of their work
  2. to develop guidelines for policymakers to maximise timely data sharing and appropriate responses in such health emergencies.

The group will address the development of such detailed guidelines on the deposit of different data sources in any common data hub or platform. The guidelines aim at developing a system for data sharing in public health emergencies that supports scientific research and policy making, including an overarching framework, common tools and processes, and principles which can be embedded in research practice. The guidelines to be developed will address general aspects related to the principles the data should adhere to (FAIR and other principles), as well as specificities related to five areas (below).

 

 

The COVID-19 WG will create a draft set of deliverables in a 3- week timeline (by April 24), with ongoing efforts to continue to add and review material:

1.    A set of Guideline documents, highlighting the primary data sharing resources in five areas, each with different data types and cross-cutting themes (e.g. ethics, legal, etc.). Other areas will be added, if required, as the effort proceeds.
a.    Omics
b.    Clinical
c.    Epidemiology
d.    Social Sciences
e.    Community Participation

2.    A set of Resource lists in each of these areas.
3.    A Decision Tree tool to facilitate navigation to specific Resources.

Value Proposition

The COVID-19 WG outputs are intended for the full range of stakeholders working on solutions to the COVID-19 pandemic, including: researchers; research administrators; public health practitioners, funders; data managers; policy makers. The set of tools will provide access to specific data sharing resources based on the focus of the individual.
Engagement with Existing Work in the Area 
Given the nature of the COVID-19 pandemic, there are a number of other groups working on facilitating access to resources in this area. The WG will list these other efforts, and where appropriate integrate their efforts into this output. Some specific efforts include:

1.    OECD use of Open Government Data (OGD) in response to the COVID-19 outbreak
a.    Sheet
2.    Virus Outbreak Data Network (VODAN)
3.    CODATA ‘Making Data Work for Cross-Domain Grand Challenges’ or launch in 2021

Work Plan

Given the tight timeline for the WG, a process has been defined that will facilitate a quick turnaround, while ensuring the quality of the work.

1.    The outputs of the WG will work together to form a single access tool, from General Guidelines→Area Guidelines→Resource Submission Forms→Resource Lists→Decision Tree/Search for Accessing Resources.

2.    The WG members (over 300 as of March 30) will be divided into Area Teams that will add and perform peer review of recommended Resources. Each Area Team which may include a number of sub-groups, will work concurrently to produce the appropriate outputs: 

a.    Writing Group: will draft the Guidelines for that Area

b.    Resource Group: will add appropriate resources, and provide peer-review

3.    The work of the Areas will be coordinated by Area leaders:

a.    Area Teams

i.    Moderator(s): overall coordination of the Teams

ii.    Co-chair observer: A representative from the co-chairs team to ensure appropriate resources are available.

iii.    Support person: To provide support for calls, scheduling, input forms, updating task lists, etc.

b.    Co-chairs

i.    Co-chairs plus additional support resources.

4.    The various roles within each team will provide the input and quality control needed to ensure the WG outputs are of a high quality. The outputs will receive further vetting once drafted by the broader RDA and stakeholder communities.

5.    Each of the Area Teams will have weekly calls via Zoom, and there will be 2-3 Zoom Webinar meetings with the full WG membership to review progress and get feedback. The Co-chairs+ Team will meet weekly on Monday, the Co-chairs+ & Moderators Team weekly on Tuesday, The Co-chairs+ & Editorial Team weekly on Wednesday, and the Area Teams weekly on Thursday. The full WG member webinar meetings will be scheduled at appropriate times. The progress of the groups will be tracked by a WG Project Manager using an appropriate tool.

Adoption Plan

Given the critical nature of the global research effort being marshalled to combat the COVID-19 pandemic, the 300+ members of the WG will be asked to indicate adoption/use of the outputs, and to promote through their networks as much as possible. RDA’s organizational partners will also be asked to do the same. 

This Working Group operates according to the RDA guiding principles of Openness,  Consensus,  Balance,  Harmonization,  Community-driven,  Non-profit and technology-neutral and is OPEN TO ALL

The RDA is collaborating with CODATA, GO FAIR, and WDS under their Data Together statement.

Initial Membership

The Co-chairs of the Working Group and sub-groups are:

  • Juan Bicarregui
  • Anne Cambon-Thomsen
  • Ingrid Dillo
  • Sarah Jones
  • Mark Leggott
  • Priyanka Pillai

The Members of the WG are listed on the WG Members page (320 as of March 30), and a smaller subset indicating where their efforts would best be used are listed in a separate Expertise sheet. The roles for specific Members will also be listed on the WGs Wiki page.

 

Review period start:
Wednesday, 1 April, 2020 to Friday, 1 May, 2020
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!! DRAFT !!

WG Charter: 

This WG intends to develop two outputs: 

Outcome 1: A recommendation regarding legal and ethical best practice for the use of sUAS and sUAS data for research purposes including capturing, sharing and (re) use of data.

Outcome 2: A technical recommendation regarding the cyberinfrastructure requirements for supporting sUAS data capture in a research environment.

Value Proposition:

Based on 5 years of community engagement a number of relevant issues have been highlighted as potential topics for future work (the primary outcomes and context were published by the sUAS data IG in [1]). These were presented and discussed at P14 and following this community consultation process two outcomes were chosen as the primary goals the group wants to pursue:

  1. legal/ethical recommendation on sUAS research data capture, sharing and use;

  2. technical recommendations focussing on the infrastructure to enable sUAS research data.

These outcomes will specifically seek to address the needs of the following research communities.  

Outcome 1 is intended to guide researchers using and seeking to use sUAS to capture data, publish such data, and reuse the captured data.  Our engagement work thus far has shown this is a subject that has not been well addressed anywhere. Furthermore, as many countries are currently in the process of developing regulations regarding sUAS use, this is an opportunity to contribute to the discussions.

Outcome 2 is also intended to serve a range of users. As a new technology, researchers running and looking to run sUAS based data capture programs, and those who fund and support such researchers (cyberinfrastructure facilities, librarian, funders, and institutions) are currently lacking formal guidance regarding what cyberinfrastructure they might anticipate needing.  While many of these users are very capable of deriving such for themselves this is arguably unnecessary repetition. Our engagement work thus far has shown this is a subject that has also not been comprehensively addressed anywhere.

Engagement with existing work in the area:

As indicated, the above 2 foci are the result of a comprehensive global community engagement effort as published [1].  Throughout this work, the specific goal outcomes named have not been encountered.  Building upon existing research, therefore, the aim is to contribute with our recommendations to the ongoing discussions on the responsible use of sUAS worldwide in line with the shared RDA mission to develop and adopt infrastructure that promotes data-sharing and data-driven research in the field of sUAS.

To grow our network both within and outside the RDA, members are encouraged and supported to actively engage with a wide variety of interest groups and key stakeholders including policymakers. NGO’s interest groups (independent) researchers and (non) commercial drone users to build a strong community and platform that will help us develop recommendations that have the best potential to be endorsed and adopted by the community.

In the case of Outcome 1, 

-    within the RDA, the RDA Legal Interoperability IG, International Indigenous Data Sovereignty IG, and Ethics and Social Aspects of Data IG have been contacted.  

-    External to the RDA are many potential points of input, the scale of our engagement will depend on our ability to scale our efforts. 

Of particular note are the subjects of legal frameworks under which sUAS operate in different countries, and the global and local norms regarding both human privacy and all sUAS observable objects in the world. With respect to regulations the International Civil Aviation Authority, along with specific WG members home aviation authorities are primary sources.  A third key source of information on this subject will be the growing number of institutional policy documents regarding the use of sUAS. Although research on responsible data management, exist providing a foundation for how institutions are addressing and considering local legal frameworks more insights are needed.  Depending on the expertise and interests amongst the WG members we for now propose to limit our focus at this stage to the US, the EU, Africa and Australia.

In the case of Outcome 2 which seeks to make recommendations regarding cyberinfrastructure for sUAS data, within RDA the range of groups that might be consulted is potentially broad given that sUAS can potentially capture data from nearly every domain and that the data pipeline touches on nearly every domain of data expertise.  External to RDA, the OGC UXS WG, ASPRS, as well as any national cyberinfrastructure research programs and all sUAS users all potentially would have value to contribute.  Clearly such a breadth of communities and commentators cannot all be consulted and a strategy of narrowing this breadth is essential. Specifically, the first task of the WG should be to seek out key representatives that are likely to serve as primary sources for the type of information we are seeking.  For instance, our group itself represents a breadth of sUAS users and programs, and the majority of us are connected to our own national equally experienced colleagues.   

Work Plan:

As the 2 outcomes of this work are largely independent of one another the investigative efforts can be run in parallel.  However, where work required involves consulting with common 3rd parties these parallel efforts will benefit each other by providing a multiplier effect in multiplying the number of potential input sources for each other.  In all work, sources, results, and discussions will be publicly recorded and available for comment in a RDA sUAS WG Github repository. Therefore, 4 stages of parallel by synchronised work are planned.

Stage1 Design (4 months):  In parallel and with each led by a co-chair, subtask teams will work to collect a list of  potentially relevant sources of information. Where these sources are people and institutions these will be noted but not yet consulted, where these are documents or otherwise non-human sources they will be reviewed, and summaries publicly recorded. 

Stage2 Information gathering (10 months):

Stage3 Synthesis and Reporting (4 months):

Stage4 Publication and Adoption efforts (2 months):

Adoption Plan:

From the first stage onwards, all WG members and especially co-chairs and core members of both subteams of the WG are expected to actively engage with various community groups involved in the sUAS ecosystem (experts, researchers, practitioners and decisionmakers)  internationally to raise awareness of the WG and create a platform for feedback and adoption of the outcomes. During each Plenary a working session is proposed and/or a face to face meeting to present the ongoing efforts regarding awareness, networking and potential for adoption.

Initial Membership:

 A specific list of initial members of the WG and a description of initial leadership of the WG. 

Chair
F van den Boom;

Co-chairs

J Wyngaard;

[open position to be filled in during P15]

Members

[insert your name here]

A. Specht (but I know some others even better than me (!). I shall try to rope them in)

 

Documentation

A living document to be made available internally and externally with relevant sources of information

[ available after P15 on GITHUB/ Google Drive doc ]

 

Background/references

[1] Wyngaard, J.; Barbieri, L.; Thomer, A.; Adams, J.; Sullivan, D.; Crosby, C.; Parr, C.; Klump, J.; Raj Shrestha, S.; Bell, T. Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practices Development. Remote Sens. 2019, 11, 1797. https://www.mdpi.com/2072-4292/11/15/1797

Hodgson JC & Koh LP (2016) Best practice for minimising unmanned aerial vehicle disturbance to wildlife in biological field research. Current Biology 26:R404-R405;

Vas, E., Lescroel, A., Duriez, O., Boguszewski, G., and Gremillet, D. (2015). Approaching birds with drones: first experiments and ethical guidelines. Biol. Lett. 11, 20140754.;

Ratcliffe N, Guihen D, Robst J, Crofts S, Stanworth A & Enderlein P (2015) A protocol for the aerial survey of penguin colonies using UAVs. Journal of Unmanned Vehicle Systems 3:95-101.

Smith CE, Sykora-Bodie ST, Bloodworth B, Pack SM, Spradlin TR & LeBoeuf NR (2016) Assessment of known impacts of unmanned aerial systems (UAS) on marine mammals: data gaps and recommendations for researchers in the United States1. Journal of Unmanned Vehicle Systems:1-14

https://www.droneregulations.info  This database is comprised of a country directory with summaries of national drone laws.

Website of the International Civil Aviation Authority for the UAS toolkit https://www.icao.int/safety/UA/UASToolkit/Pages/default.aspx 

Website of the Federal Aviation Administration on UAS  https://www.faa.gov/uas/ 

See also: FAA's mobile application for recreational flyers to know whether it is safe to fly their drone. https://www.faa.gov/uas/recreational_fliers/where_can_i_fly/b4ufly/

The EU just published EU wide rules on UAS: the Commission Delegated Regulation (EU) 2019/945 & Commission Implementing Regulation (EU) 2019/947,

The EU Aviation Safety Agency (EASA)

https://www.easa.europa.eu/newsroom-and-events/press-releases/eu-wide-rules-drones-published 

https://www.easa.europa.eu/document-library/regulations#uas---unmanned-aircraft-systems

https://terra-drone.eu/en/articles-en/eu-drone-regulations-explained-for-dummies/ 

 

Review period start:
Tuesday, 3 December, 2019 to Wednesday, 1 April, 2020
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Review period start:
Wednesday, 27 November, 2019 to Thursday, 9 January, 2020
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Interest Group Title: RDA for the Sustainable Development Goals

 

Introduction: Fit with the overall RDA vision and mission

 

The Sustainable Development Goals (SDGs) are 17 global goals, with 169 associated targets, which came into effect in January 2016 and will continue to guide UN policy and funding until 2030. Progress on the UN's 17 Sustainable Development Goals requires broad collaboration within the global data community, as well as nuanced understanding of the barriers for developing information infrastructures. Interoperability of data remains a barrier to collecting, storing, merging, and analyzing data for monitoring SDG metrics effectively - and improving data interoperability may both enhance monitoring, as well as help to enable and support progress towards achieving the SDGs. Achieving interoperable data to advance the SDGs will require best practices, recommendations, technologies, and support of capacity building - which is in direct alignment with many of RDA’s ongoing and upcoming outputs, recommendations, interest group, and working group activities.

 

Objectives

 

Objectives and scope of the Interest group activities will fall into two categories:

  1. Improved data management/sharing of SDG indicator data, based on implementation and adaptation of RDA outputs within workflows surrounding the SDGs and NGO development space more broadly.
  2. Assessing the impact of data infrastructure, and associated quality and limitations thereof, as a component of sustainable development. Defining the value and importance of data infrastructure within sustainable development overlaps directly with the infrastructure-related SDG indicators. More broadly, defining and justifying the importance of data infrastructure will clarify this need to funders supporting development initiatives, researchers and admins supporting the work of development monitoring, and future policy development.

 

Participation

 

Group participation is encouraged for any RDA members working in areas of research, policy, advocacy, data management, or infrastructural support surrounding the Sustainable Development Goals. Such roles include, though are in no way limited to, researchers focused on global sustainability and capacity enhancement, legal experts, data and repository managers, research librarians, and national statisticians.

 

Engagement with existing work in the area

 

  • Data for Development IG
  • Indigenous Data Sovereignty Group
  • Small Unmanned Aircraft
  • Health Data IG
  • Reproducible Health Data Services Working Group
  • RDA/Codata Data Science Summer Schools

 

User Scenarios

 

Achieving successful monitoring of the sustainable development goals requires international data exchange and an array of changes to the culture of science and capacity enhancement activities ongoing in nations wherein data for the SDG indicators are being collected. These capacity enhancement activities fall within four broad categories, all of which overlap with the social and technical challenges to international research data sharing:

  • Organizational collaboration
  • Data sharing and interoperability
  • Data sharing and data governance
  • Capacity building

Broadly, the value-add of this Interest Group’s activities will be to:

  1. Create materials to support the implementation of RDA outputs and recommendations within the social and technical work of the UN surrounding the sustainable development goals. These materials will be aimed to support the work of data managers, statisticians, research policy advisers and advocates, and diverse project managers supporting SDG data infrastructure and data use.
  2. Facilitate organizational collaboration/support with the U.N. and its agencies partnerships in commercial, academic, and NGO space. Facilitating such partnerships will Increase the visibility of the RDA on a global scale, providing precedence for future collaboration with additional IGOs and NGOs. RDA’s OAB, TAB, Council, Secretariat, and group membership could all play a role in facilitating such partnerships.
  3. Build collaborative partnerships across RDA interest groups and working groups working within the field of capacity development in low and middle income countries, furthering progressing RDA’s mission.

Scope of Interest Group:

 

Activities ongoing within the RDA that could align with the SDG

  1. Conduct a literature review of the United Nations actions for SDGs, the related targets and indicators, and additional efforts ongoing in the space of research data that overlap with the intersection of RDA and the SDGs.
  2. Landscape analysis of RDA Working Group/IG connections to SDG work, as examined in aim 1
    1. Draft tabular matrix WG/IG overlap with indicators and OD2I (value chain of data to decisions)
    2. Build an interactive board/sticker/cards @P14 for WG/IGs to place themselves within the matrix - MILESTONE
    3. Identify working and interest groups of potential high-impact for SDGs
    4. Validate matrix in collaboration with selected working and interest groups
  3. Create an implementation guide advising members of the U.N. working in the areas of Sustainable Development Goals about the applicable RDA outputs and recommendations, strategies for implementation, and available technologies and methods to support implementation.
  4. Identify examples of implementation: Identify pathways and past success-cases wherein RDA working/interest groups were in collaboration with or implemented by SDG or capacity development work.
  5. Conduct test adoptions of implementation guide, developed in aim 3, to garner usability and implementation feedback from members of the U.N.

 

 

Mechanism

 

Interest group members will hold bi-monthly meetings via telecom platforms such as Zoom, GoToMeeting, or etc. for all interest group members. These meetings will have running agenda items, reports of ongoing projects, and additional items added given upcoming events or emerging opportunities aligned with deliverables or collaboration with partnering organizations. Co-chairs may also meet outside of these bi-monthly meetings to manage ongoing deadlines. Meeting notes will be made open to the public via the RDA website. Plenary sessions will provide public updates about IG activities and space for community feedback regarding strategy or scope.

 

Potential Projects for Interest Group Scope

 

In preperation of defining the Interest Group’s scope and potential objectives, the following activities are proposed:

  1. Select representatives from the RDA community active in work aligned with the SDGs familiar with strategies for forming organizational partnerships with the RDA.
  2. Assess key needs/gaps for the UN, funder, and SDG-associated organizations addressable by these RDA activities.
  3. Recognizing the work of the UN in identifying tiers of SDG indicators and the future needs for SDGs, identify potential alignment of RDA activities that may support UN tier indicator work
    • Tier 1: Indicator is conceptually clear, has an internationally established methodology and standards are available, and data are regularly produced by countries for at least 50 per cent of countries and of the population in every region where the indicator is relevant.
    • Tier 2: Indicator is conceptually clear, has an internationally established methodology and standards are available, but data are not regularly produced by countries.
    • Tier 3: No internationally established methodology or standards are yet available for the indicator, but methodology/standards are being (or will be) developed or tested
  4. Execute a problem/needs assessment as mapped by the UN and supporting community. Such a needs assessment would likely require conversations, structured surveys, or litereature reviews with UN executives or policies concerning how the U.N. perceives problems/needs, and where RDA may contribute.

In reflecting on the sessions and feedback throughout the p13, some of the major takeaways and potential next steps on SDG work are as follows:

 

Create adoption/output portfolio (aim 3) for the development sector audience. This output portfolio could also frame the value of RDA outputs for various SDG goals, such as #9 Industry, Innovation and Infrastructure (focusing on the value of research data infrastructure supporting sustainability), and #17 Partnerships for the goals (focusing on the value RDA brings in as a large 8,000-strong member community). Such a portfolio could be a brief summary of RDA-alignment with the SDG work and some educational materials, such as a webinar, describing how RDA outputs could be applicable to social and technical issues surrounding work in the SDGs. We'd also thought featuring testimonials of people working in the SDGs who recognize the RDA's benefit or have used RDA outputs in past within their work would be beneficial. We're in contact with members of the RDA summers schools and education for librarians IG who are well-experienced in crafting similar portfolios for targeted audiences, and will continue to explore how such a portfolio could be impactful.

 

Assess existing RDA groups and partnerships aligned with the development sector. Given the diverse RDA outputs and recommendations that could support the SDGS, we will assess their alignment with the SDGs and select representatives from these activities who might be amenable to discussing strategies for forming a partnership with the UN. These representatives may also have previous experience with forming organizational partnerships or may themselves represent a RDA organizational partner.

The aim being three-fold:

  1. Define activities ongoing within the RDA that could align with the SDGs
  2. Select representatives active in this work familiar with strategies for forming organizational partnerships with the RDA
  3. Assess key needs/gaps for the UN addressable by these RDA activities and form a case-statement for a working or interest group.

Many of the topics covered in the IN2N publication could be of interest to the UN and represent the sorts of contributions the RDA-community could offer. Ensuring the final publication reaches the attention of the UN could be a worthwhile strategy.

Potential Group Members

 

 

Name

Member Type

RACI

Region/Country

Contact mail

Ingvill C. Mochmann

Co-Chair

R/A

Germany

ingvill.mochmann@gesis.org

Anthony Juehne

Co- Chair

R/A

US

aljuehne12@gmail.com

Lindsay Barbieri

Co- Chair

R/A

US

lkbar@uvm.edu

Rob Quick

Member

 

US

rob rquick@iu.edu

Jay Pearlman

Member

 

US

jay.pearlman@fourbridge s.org

Francoise Pearlman

Member

 

US

jsp@sprintmail.comimdis 2018

Edit Herczog

Member

 

Hungary

mrs.edit.herczog@gmail. com

Francoise Genova

Member

 

France

francoise.genova@astro. unistra.fr

Ilya Zaslavsky

Member

 

US

zaslavsk@sdsc.edu

 

 

Additional links to informative material related to the group

Sustainable Development Goals Interoperability Data Collaborative: http://www.data4sdgs.org/initiatives/interoperability-data-collaborative

 

Interoperability: A practitioner’s guide to joining-up data in the development sector:

http://www.data4sdgs.org/resources/interoperability-practitioners-guide-joining-data-development-sector

 

A Vision for the Humanitarian Use of Emerging Technology for Emerging Needs:

https://www.alnap.org/help-library/a-vision-for-the-humanitarian-use-of-emerging-technology-for-emerging-needs"

 

ICSU, ISSC (2015): Review of the Sustainable Development Goals: The Science Perspective.
Paris: International Council for Science (ICSU)

https://council.science/cms/2017/05/SDG-Report.pdf

Please add below additional links to informative material related to the participating groups, i.e. group pages, case statements, working documents etc…\

 

Literature:

 

https://www.taylorfrancis.com/sdgo/?utm_medium=email&utm_source=EmailStudio&utm_campaign=B190709261_3307708

 

https://ourworldindata.org/

 

RDA Data for Development Interest Group:

https://www.rd-alliance.org/groups/data-development.html

 

RDA Health Data Interest Group:

https://www.rd-alliance.org/groups/health-data.html

 

RDA Small Unmanned Aircraft Systems Data Interest Group:

https://www.rd-alliance.org/groups/small-unmanned-aircraft-systems%E2%80...

 

RDA P11 session - Ethics in FAIR Data: Ethical and practical issues of data sharing and usage within and across disciplines

https://rd-alliance.org/rda-11th-plenary-joint-meeting-ig-data-developme%E2%80%A6

 

RDA Plenary 13 - Data for Sustainable Development: Opportunities, Challenges and Responsibilities. (2019). YouTube. Retrieved 6 June 2019, from https://www.youtube.com/watch?v=PaAQhjsMPdc&feature=youtu.be

 

Joint Session IG Data for Development, IG Health Data, IG Small Unmanned Aircraft Systems’Data - RDA 13th Plenary Meeting. (2019). RDA. Retrieved 6 June 2019, from

https://www.rd-alliance.org/joint-session-ig-data-development-ig-health-data-ig-small-unmanned-aircraft-systems%E2%80%99-data-rda-13th

 

RDA Output Adoption Webinar Series: Outputs to Support Reproducible Health Research. (2019). RDA. Retrieved 6 June 2019, from

https://www.rd-alliance.org/rda-output-adoption-webinar-series-outputs-support-reproducible-health-research-0

Review period start:
Thursday, 14 November, 2019 to Saturday, 14 December, 2019
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Abstract

Amrita Sadivaiyal Vyavasayam Kulu, a group comprising of twenty farmers,
belonging to the tribal community of Irulas, initiated organic farming at
Sadivaiyal, a tribal hamlet in the suburbs of Coimbatore, Tamil Nadu.
This paper explores the case of organic agriculture in a tribal village in
Tamil Nadu. Amrita SeRVe is an initiative launched by the Mata
Amritanadamayi Math. One of its main objectives is to motivate farmers
to make the transition to organic agriculture and hand-hold / mentor
them as they make the switch.Amrita SeRVe (Self Reliant Village project)
planned and helped the farmers from tillage, collection of seeds,
preparation of manures and pesticides, introduction of technological
innovations, modern methods in production and processing of raw
materials till the marketing of products. This experiment  tried at Sadivaiyal
united the farmers in a pristine culture of sharing, caring, protecting and
selling paddy together. This empowered them to know and bargain for
their rights. This was clearly demonstrated in their farming practices,
done without any instance of money-lending or of borrowing loans from
banks.

Keywords:  Organic Farming, Convergence Method, tribal hamlet, Bhavani rice, Tamil
                     Nadu, Sustainable development, Organic rice production, panchagavya,
                     jivamritham, mulching.

 

Program Manager, Amrita SeRVe, Amrita Vishwa Vidyapeetham Amritapuri Campus, Kerala, India. Email: krsreeni72@gmail.com

Article Received on: 06-10-2018                            Accepted on: 18-04-2019

Review period start:
Saturday, 9 November, 2019
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Group Farming- means to end Poverty and Hunger inVillages

K.R. Sreeni1

 

Abstract

Amrita Sadivaiyal Vyavasayam Kulu, a group comprising of twenty farmers,
belonging to the tribal community of Irulas, initiated organic farming at
Sadivaiyal, a tribal hamlet in the suburbs of Coimbatore, Tamil Nadu.
This paper explores the case of organic agriculture in a tribal village in
Tamil Nadu. Amrita SeRVe is an initiative launched by the Mata
Amritanadamayi Math. One of its main objectives is to motivate farmers
to make the transition to organic agriculture and hand-hold / mentor
them as they make the switch.Amrita SeRVe (Self Reliant Village project)
planned and helped the farmers from tillage, collection of seeds,
preparation of manures and pesticides, introduction of technological
innovations, modern methods in production and processing of raw
materials till the marketing of products. This experiment  tried at Sadivaiyal
united the farmers in a pristine culture of sharing, caring, protecting and
selling paddy together. This empowered them to know and bargain for
their rights. This was clearly demonstrated in their farming practices,
done without any instance of money-lending or of borrowing loans from
banks.

Keywords:  Organic Farming, Convergence Method, tribal hamlet, Bhavani rice, Tamil
                     Nadu, Sustainable development, Organic rice production, panchagavya,
                     jivamritham, mulching.

Introduction

The research  investigated the farming practices of small and marginal farmers
involved in organic rice production in Sadivaiyal village, Thondamuthur Block,
Coimbatore, Tamil Nadu, India,with the support of Amrita SeRVe. Amrita SeRVe
is an NGO which plays important roles from organizing the farmers in groups,

1 Program Manager, Amrita SeRVe, Amrita Vishwa Vidyapeetham Amritapuri Campus, Kerala, India. Email: krsreeni72@gmail.com

Article Received on: 06-10-2018                            Accepted on: 18-04-2019

Review period start:
Saturday, 9 November, 2019
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Introduction (A brief articulation of what issues the IG will address, how this IG is aligned with the RDA mission, and how this IG would be a value-added contribution to the RDA community):

 

Extensive work has been, and continues to be done on data interoperability at the technical and information domains. However, a large portion of the challenges in building interoperable information infrastructures are the result of the interplay between organisations, institutions, economics, and individuals.  Collectively these form the social dynamics that foster or hinder the progress towards achieving technical and information interoperability.

 

These are some of the most difficult challenges to address.  Currently there is only a limited body of work on how to address these challenges in a systematic way.  In keeping with the mission of the RDA, the focus of this group is to focus on what is required to build the social bridges that enable open sharing and re-use of data.

 

The focus of this interest group is to identify opportunities for the development of systematic approaches to address the key social challenges and to build a corpus of knowledge on building and operating interoperable information infrastructures.

 

User scenario(s) or use case(s) the IG wishes to address (what triggered the desire for this IG in the first place):

Within Australia, the National Collaborative Research Infrastructure Strategy (NCRIS) set forth the need to establish a National Environmental Prediction System (NEPS).  This requires the collaboration, coordination and (most importantly) the interoperability between a range of facilities, organisations and government entities for this system to work effectively.  A number of facilities involved have recently come to the realization that the Social dynamics between the facilities is a key factor in the success (or failure) of this initiative.

 

Within the United States, initiatives such as the Pacific Research Platform, the National Research Platform, and the Eastern Regional Network are a few examples of cross-institutional initiatives whose success is dependent as much on social dynamics as on overcoming technical challenges.

 

The problem exists at smaller scales as well.  At the institutional level, the need to drive adoption across IT, IT Security, Research units, and Libraries provides a persistent challenge.

 

The BoF session held at the 13th Plenary session highlighted that similar challenges exist within other research domains.

 

Objectives (A specific set of focus areas for discussion, including use cases that pointed to the need for the IG in the first place.   Articulate how this group is different from other current activities inside or outside of RDA.):

 

Currently there is no other IG within the RDA that has a specific focus on the social dynamics, (ie: the interplay between organisations, institutions, economics, and individuals) relating to interoperable information infrastructure.

 

The main objective of this IG is to:

  • Identify organisational, institutional, economic, and individual aspects that increase the friction to achieving information interoperability.
  • Develop a corpus of knowledge, including models, frameworks and patterns that can be applied by practitioners to develop the desired social dynamics that foster information interoperability.
  • Identify and develop case studies of solutions that demonstrate the application of the corpus of knowledge on this topic.

 

Loosely related to this IG are the following existing IGs within the RDA:

  • Ethics and Social Aspects of Data IG

                                                                                                                            

Participation (Address which communities will be involved, what skills or knowledge should they have, and how will you engage these communities.  Also address how this group proposes to coordinate its activity with relevant related groups.):

 

The participation in this IG is left open and broad to anyone who has an interest in the social dynamics as it relates to building interoperable data infrastructures.  Specific skills and knowledge that would be useful for this IG include,

  • Social psychology
  • Organisational behaviour and organisational psychology
  • Economics
  • Legal frameworks
  • Digital anthropology
  • Digital ethnography

 

The following RDA IGs are related to this IG,

  1. Data economics
  2. Ethics and social aspects of data IG
  3. Community capability IG
  4. Ethics and Social Aspects of Data IG

 

This IG will keep these related IGs informed of its activity, and seek to coordinate with them on topics that overlap or have a common interest.  It is feasible that in the future we could hold joint sessions at plenary events around common topics.

 

Outcomes (Discuss what the IG intends to accomplish.  Include examples of WG topics or supporting IG-level outputs that might lead to WGs later on.):

 

There are two primary outcomes of this IG:

  1. Create a community of interest on the Social dynamics of interoperable information infrastructures;
  2. Create a corpus of knowledge on the topic.
  3. Identify and develop case studies of solutions that demonstrate the application of the corpus of knowledge on this topic.

 

Some initial topics that could lead to Working Groups include,

  • Problem and solution patterns in Information Infrastructure;
  • Governance  & participation models;
  • Frameworks for trust;
  • Incentives and disincentives for collaboration and participation;
  • Specific institutional partnerships known to exist, how they came to be, and their varying degrees of success

 

Mechanism (Describe how often your group will meet and how will you maintain momentum between Plenaries.):

     The group will aim to have at least 1 virtual meeting between sessions.  It will also establish a mechanism (possibly the mailing-list) for offline discussions.

 

Timeline (Describe draft milestones and goals for the first 12 months):

   

Research and identify organisational, institutional, economic, and individual challenges to achieving interoperability

Month 1-6

Identify case studies

Month 7-12

creation of knowledge corpus

Month 12-24

Apply knowledge corpus to case studies

Month 24+

 

Potential Group Members (Include proposed chairs/initial leadership and all members who have expressed interest):

 

FIRST NAME

LAST NAME

EMAIL

TITLE

Kheeran

Dharmawardena

kheerand@cytrax.com.au

Co-Chair

Greg

Madden

gregmadden@psu.edu

Co-Chair

Heidi

Laine

heidi.laine@csc.fi

 

Jay

Pearlman

jay.pearlman@fourbridges.org

 

Jeremy

Cope

jez.cope@bl.uk

 

Kathleen

Gregory

kathleen.gregory@dans.knaw.nl

 

Kiera

McNeice

kmcneice@cambridge.org

 

Lisa

Raymond

lraymond@whoi.edu

 

Maggie

Hellström

margareta.hellstrom@nateko.lu.se

 

Stefanie

Kethers

stefanie.kethers@ardc.edu.au

 

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Tuesday, 24 September, 2019 to Thursday, 24 October, 2019
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This Charter describes the proposed activity of the Coordinating the Global Open Science Commons Interest Group.

 

Name of Proposed Interest Group:

Coordinating the Global Open Science Commons IG (GOSC IG)

 

Introduction (A brief articulation of what issues the IG will address, how this IG is aligned with the RDA mission, and how this IG would be a value-added contribution to the RDA community):

 

The coordination of data infrastructure on various levels (country, continent, discipline, sector) is on the increase. So called “Open Science Commons” or “Data commons” provide a shared virtual space or platform that provides a marketplace for data and services. Examples include the European Open Science Cloud, the Australian Research Data Commons, the African Open Science Platform, open government portals and initiatives outside traditional research contexts. Coordinating across these initiatives to enable a network of interoperable data commons is the goal, as well as providing greater clarity about what is meant by a Commons in the context of science or research.

 

The Interest Group will provide a neutral place where people have conversations about Open Science Commons. It will function in a similar vein to the funders forum – space will be given to raise topics of mutual interest, track trends and reach consensus on priorities. The Group will work to reach a shared understanding of what a “Commons” is in the research data space; what functionality, coverage and characteristics does such an initiative require and how can this be coordinated at a global level?  The IG Chairs will also proactively look outside the RDA community to connect with parallel initiatives in other spaces, whether in national / regional contexts or in other fora such as the OECD, G7 Open Science Working Group, UN’s Expert Advisory Group on a Data Revolution for Sustainable Development, CODATA, GO-FAIR and others. Recognising the broad scope, we will focus initially on Data Commons and extend to Open Science Commons as work progresses.

 

This Interest Group is closely aligned to the core mission of RDA as it is inherently engaged in building the social and technical bridges that enable data sharing. It will own the overall remit of coordinating the delivery of a Global Open Science Commons and monitor progress made within related RDA Working Groups and other initiatives to achieve this goal. Indeed, the scope is so large that the Interest Group is expected to run for several years and coordinate across many Working Groups, primarily those that are convened within this RDA IG forum but also aligning with existing WG/IG of relevance.

 

The Interest Group will help to coordinate and steer initiatives, assisting implementers to maintain focus while also providing wider context and meaning. It will encourage and facilitate global collaboration, helping to minimise data silos and adoption of standards and protocols to facilitate a cross-country and cross-discipline global open science commons. The Group will necessarily be large and diverse, representing many different stakeholder groups, sectors and countries. Chairs come from 5 different continents given the breadth of remit and need for genuine global engagement.

 

Proposed Chairs

NOTE: We now have chairs from every RDA region

Andrew Treloar, ARDC, Australia

Sarah Jones, DCC, Scotland

Corina Pascu, European Commission, Belgium

Vivien Bonazzi, Deloittes, USA

Kazutsuna Yamaji, NII, Japan

Omo Oaiya, WACREN, Ghana

Devika Madalli, Indian Statistics Institute, India

 

Interested Members

Simon Hodson, CODATA, France

Juan Bicarregui, STFC, UK

Guido Aben, AARNET, Australia

Kheeran Dharmawardena, CSIRO, Australia

Laura Palumbo, Rutgers University, USA

Keith Russell, ARDC, Australia

Minglu Wang, York University, Canada

Mark Leggott, Research Data Canada

Paul Uhlir, consultant, USA

 

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Friday, 6 September, 2019 to Sunday, 6 October, 2019
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