Registration is now open for the RDAP (Research Data Access and Preservation Association) 2020 Summit in Santa Fe, NM! The Summit, which will take place at the Santa Fe Convention Center, will run March 11 and 12, with an additional day of workshops on March 13. Registration for the Summit is $209; workshops are an additional $50 each, although one is being provided free of charge thanks to a grant from the Institute of Museum and Library Services. You can also now view our program schedule, including on Sched.
Monthly Archives: January 2020
North American DDI conference Call for Proposals now open!
We are happy to announce the Call for Proposals for the 8th Annual North American Data Documentation Initiative Conference (NADDI). The Data Documentation Initiative (DDI) is an international standard for describing the data produced by surveys and other observational methods in the social, behavioral, economic, and health sciences.
NADDI 2020 Theme
The conference theme is “Making Data FAIR by using Metadata Standards.”
The main conference sponsor is IPUMS at the University of Minnesota Institute for Social Research and Data Innovation.
Aimed at individuals working in and around research data and metadata, NADDI 2020 seeks submissions of presentations and posters that highlight the use of DDI and other metadata standards within research projects, official statistics, survey operations, academic libraries, and data archives.
Proposals can include:
- Workshops or Tutorials
- March 6: Deadline for conference proposals
- March 31: Notification of acceptance
- May 31: Early rate registration deadline
- Conference Dates: June 17-19, 2020
- Conference Location: Minneapolis, Minnesota
How to Submit
Submissions may be made through the conference web site. The proposal deadline is March 6, 2020.
Data for our planet: Increasing the use and value of global information infrastructures to support resilient cities, disaster risk reduction and infectious diseases
- Erin Robinson – Earth Science Information Partners (ESIP)
- Dr Steven McEachern – Australian Data Archive, ANU
- Alena Rybkina – Committee on Data of the International Science Council (CODATA)
- John Broome – Committee on Data of the International Science Council (CODATA)
- Francoise Perlman – FourBridges
- Dr Ben Evans – National Computational Infrastructure (NCI)
- Magdalena Brus – Integrated Carbon Observation System (ICOS) European Research
- Infrastructure Consortium (ERIC), ENVRI
- Building on the FAIR principles, this session explored a series of pilots and initiatives currently underway to develop data infrastructures and to increase collaboration and access to the increasing surge of data currently being captured globally. There has been some headway in the global north, but less in the global south.
- Collaboration was identified as a major obstacle to increase cross-institutional, multi-disciplinary and international access to de-fragment the data landscape.
- By improving the access and collaboration across disciplines, it will be possible to better address socioeconomic problems such as responses to infectious diseases, disaster risk reduction and building resilient cities.
- Using the FAIR principles to unify data across a range of sources and data types requires the development of pilots to test how this unification and inter-operability of data would be undertaken.
- It is important to recognize how different disciplines can offer insights to different data problems or questions, but still work together to address larger societal problems.
- As the amount, quality and type of data available grows rapidly, it is equally important to ensure that the data infrastructure grows with it in order to process it. At the moment, the infrastructure is somewhat lagging behind.
- By developing and investing in the data infrastructure, it is possible to make the data easier to access and use, and make the data smarter and better targeted to the problems it is used to address. However, there are challenges for business models, societal models and policy/governance issues. Of serious concern is that the people working on the policy around data and data infrastructure cannot keep up or understand the challenges.
- While there are many groups working towards de-siloing data and data infrastructure, there needs to be an umbrella approach to avoid duplication of efforts and unify the approach. CODATA is leading the design and execution of a Decadal Programme that will address the data interoperability challenge identified in the International Science Council’s 2019-2021 Action Plan. The Decadal Program is currently being developed to address this issue and is seeking expressions of interest to help in its development.
- The session brought together individuals from around the world and many different organisations who are interested in addressing this concept of a multi-disciplinary, democratization of data.
- During discussion there was some concern regarding ethical issues around data accessibility and sharing that still needs to be addressed.
QUOTES: John Broome (CODATA): ‘Partnerships will be critical. Clearly no one organisation can hope to achieve the overall goal.’
Accessing and integrating data from heterogeneous sources is a significant barrier facing evidence-based responses to global grand challenges. To address this ISC-CODATA is preparing an international, coordinating research program; ESIP has developed a community of practice around earth science data standards; and ENVRI aims to align and share FAIR compliant in-situ data and services. This workshop will 1) invite the GEO community to engage with these initiatives; 2) examine specific challenges relating to data accessibility, interoperability and reusability (FAIR); and 3) examine these issues around a set of pilot case studies, including infectious diseases, resilient cities and disaster risk reduction.
Grand challenges need to access and integrate data from many different sources. Discovery and interoperability mechanisms are frequently suboptimal. Time and space is usually a key to integration, and remote sensing and in-situ Earth observation data play a crucial role. The session will allow detailed exploration of the issues in relation to case studies of significance to the GEO community. The workshop will explore the applicability and potential of the FAIR principles, ‘fitness for use’ criteria, Operational Readiness Levels, alignment of metadata specifications, and data cubes to contribute towards the solutions needed to assist data integration.
Please find the presentation here.
- International Science Council – ISC
- CODATA – Committee on Data of the ISC
- ESIP – Earth Science Information Partners (US)
- ARDC – Australian Research Data Commons
- The National Committee for Data in Science (NCDiS) of the AAS – Australian Academy of science
- NCI – National Computational Infrastructure (Australia)
- CSIRO (Australia)
- The European Environmental Research Infrastructure Community (ENVRI
John Broome (CODATA), Erin Robinson (ESIP) (firstname.lastname@example.org, erinro
Henry Mibei: Report on attendance at CODATA conference
Name: Henry Mibei
Designation: Operations Manager Mobile, Africa
Organization: CAB International
CODATA 2019 conference: Towards next-generation data-driven science: policies, practices and platforms
CODATA exists to promote global collaboration to improve the availability and usability of data for all areas of research. CODATA supports the principle that data produced by research and likely to be used for research should be as open as possible and as closed as necessary. CODATA works also to advance the interoperability and the usability of such data: “Research data should be intelligently open or FAIR”. By promoting the policy, technological and cultural changes that are essential to make research data more widely available and more usable, CODATA helps advance ICSU’s mission of strengthening international science for the benefit of society. The conference, themed, ‘Towards next-generation data-driven science: policies, practices and platforms’ was organized by CODATA and CODATA-China with support from the Chinese Academy of Sciences (CAS), Ministry of Science and Technology (MOST) of P. R. China, China Association for Science and Technology (CAST), and National Natural Science Foundation of China. The conference attracted more than 300 participants from six continents and representing 45 countries.
Objective of the Conference
This conference provided a significant opportunity to survey and examine developments in open data policies from a global perspective.
- To present a The paper was accepted for publication in the Data science journal. http://datascience.codata.org/.
- To build networks with academics and experts and to share thoughts on advances and technological breakthroughs for future business
- To increase visibility of CABI the organization I work for, and CODATA who sponsored my attendance in the conference
Science globally is being transformed by new digital technologies. At the same time addressing the major global challenges of the age requires the analysis of vast quantities of heterogeneous data from multiple sources. In response, many countries, regions and scientific domains have developed Research Infrastructures to assist with the management, stewardship and analysis. These developments have been stimulated by Open Science policies and practices, both those developed by funders and those that have emerged from communities. The FAIR principles and supporting practices seek to accelerate this process and unlock the potential of analysis at scale with machines.
Benefit to attending the Conference
Attending the conference gave me an opportunity to showcase my research findings in open science space. Networking and exposure also gave me an opportunity for future collaboration. It was an opportunity to increase the visibility of CABI and CODATA.
- Interacting with researchers and experts in this International forum was a good way of increasing CABI’s visibility in the data science space, a current and trending area for business
- CABI as the current host of the GODAN secretariat, which advocates for open data and open access policy as well as release and reusability of data for improved environmental and social outcomes needs to be more represented in similar forums to showcase our strengths in data science as we week new partnerships in the My attendance to the conference was a benefit to CABI.
- CABI’s research is diverse and large quantities of data are gathered and generated therefore maintaining a good relationship and publishing in the CODATA science journal and other affiliated journals gives CABI more options to publish data science related work in a wide array of journals improving knowledge access and
Title of Presentation(s):
Session Title: Building resilience on food security and nutrition through Open Data https://conference.codata.org/CODATA_2019/sessions/143
|Beijing – China||Kenya – Nairobi|
|Room No. 10, Friendship Palace Date: Sept. 20, 2019
Time: 11:30 am – 13:00 pm
Time: 14:00 pm – 15:30 pm
|Room: KALRO Hqts Board Room Date: Sept. 20, 2019
Time: 6:30 am- 8:00 am
Time: 9:00 am – 10:30 am
143: Building resilience on food security and nutrition through Open Data
|Facilitator: Henry Mibei|
|1||407: A governance and data stewardship framework for FAIR agricultural data: The||Paul James Box Paul.email@example.com||Paul James Box , Kerry Levett , Bruce Simons , Megan Wong|
|Agricultural Research Federation
(AgReFed) – an Australian research infrastructure case study
|2||476: User-centered design in development of Decision support tools: Lessons from the development and deployment of a Fertilizer Optimization tool for fertilizer use by smallholder farmers in Africa||Henry Mibei firstname.lastname@example.org||Henry Mibei, Harrison Rware|
|3||479: Agricultural Sector Transformation: Mobile Applications for Smallholder Farmers#||Simon Mutuku Mulwa email@example.com g||Irene Wambui Kimani, Simon Mutuku Mulwa, Boniface Akuku|
|4||514: Manipulation and Handling of genomics big data to next generation data Science||Muhammad
Abdul Rehman Rashid firstname.lastname@example.org m
Abdul Rehman Rashid
|Remote Presentation Audio- Kenya KALRO HQTs Boardroom|
|1||458: Improving Agricultural Policies and Decisions in Kenya using Data Cube Architecture||Boniface Okelo Akuku boniface.akuku@kalro. org||Boniface Okelo Akuku, Boniface Okelo Akuku, Kenneth Mubea, Brian Killough|
|2||527: Communicating Data: Evidence from Lessons and Experiences of Agricultural Science and
|Virginia Wangari Ndungu||Virginia Wangari Ndungu, Irene Wambui Kimani|
|3||484: Small Holder Farmers Reap Big: Kenya Agricultural Observatory Platform||Irene Wambui Kimani email@example.com||Irene Wambui Kimani, Boniface A Akuku, Joseph Wafula|
|4||515: Mitigating the effects of climate change through early warning and monitoring systems: A case of the small holder farmer in Kenya||Morris Gatheru firstname.lastname@example.org rg||Morris Gatheru, Boniface Akuku, Irene Kimani|
|Closing remarks- Way Forward, All|
This session was primarily chaired by Henry Mibei where eight papers were presented, four papers onsite and four presented remotely. Henry noted that resilience building will require the use of timely and accurate data/information that leverages on technologies that build on agro-ecological knowledge and the entire agricultural value chain layers comprising farmers, environment information and agricultural practices. Henry presented a paper on designing user-centered decision support tools for agriculture outlining the lessons from the development and deployment of a fertilizer optimization tool. HM outlined that any digital product should be developed considering user’s requirements, objectives and feedback. “If we don’t solve real problems for our users, they’re not going to give us business. Design has to do with intention and that intention is always to solve a human problem. Successful systems and products begin with an understanding of the needs and requirements of the users”.
- Information ranging from climate and rainfall patterns, droughts, trends in crop pests and diseases to the number of farmers in a particular area should be put in the public domain so that it can be easily accessed to facilitate decision-making
- There is often too much information available to make a clear decision, with so much data to sort through, you need something more from the There is a need then to think about the capacity to analyse data and to apply that information to decision-making.
- Open data is crucial in modernizing food production systems and governments in particular should strive to make it accessible especially to the smallholder
- Question on sustainability of donor projects emerged e. being able to perform and deliver project benefits to the primary target group after the funding from a donor terminates. What should be done? Sustainability requires long term planning to facilitate diverse donor engagement and to improve institutional capacity of the target population. It is important to integrate sustainability aspects in the project right from the beginning. This will help to develop partnerships and relations with relevant stakeholders at an early stage of project development and ensure that once the primary funding terminates there is a strong support to continue delivering project’s objectives. It is also important to involve key stakeholders in program development. As part of the project activities initiate multi-stakeholder dialogue workshops should be conducted to involve relevant people in the project.
Benefits/Value add to CODATA
- The visibility of CODATA was quite excellent
- This was an opportunity for CODATA to increase its visibility to more than 300 delegates and the rest of the world that never came through the
- CODATA was acknowledged in my presentation slides and the presentation was also linked to a story published in CABI’s website accessed in the link https://www.cabi.org/news-article/fertilizer-optimization-tool-to-increase-farmers- yields-highlighted-at-codata-2019-conference/
- CABI has a global presence, with 500 CABI staff in different continents.
- Refer to Henry Mibei’s presentation, co-written with Rware, ‘Desig ning User –Centered Decision Support T ools f or Agriculture’ which is downloadable from the SCRIBD platform.
- CODATA acknowledged in the publications that will be sent to the patterns and the CODATA Science
- Publicity through social media is as below;
Delegates at CODATA 2019 Conference, Friendship Hotel Beijing China, 19th September 2019
Conveners: CODATA, CODATA China
Supporter: Minister of Science and Technology (MOST), Chinese Academy of Sciences (CAS), NSFC
Local organizer: Computer Network Information Center, CAS; National S&T Infrastructure Center, MOST
The CODATA Beijing 2019 Workshop Experience
Open Data is going to help launch more startups. It’s going to help launch more businesses … It’s going to help more entrepreneurs come up with products and services that we haven’t even imagined yet”. (The former US President Barack Obama, May 9, 2013).
This is our CODATA 2019, Beijing, China Story: Richard Rimiru, Neema Sumari, Simon Mulwa and Gilbert Mushi.
We are “The 4 Musketters from East Africa”, Two Tanzanian from Sokoine University of Agriculture (SUA), Neema Sumari and Gilbert Mushi and Two Kenyans; Richard Rimiru from Jomo Kenyatta University of Agriculture and Technology (JKUAT) and Simon Mulwa from Kenya Agricultral Livestock Research Organization (KALRO), at the time of writing.
The CODATA & CAS International Training Workshop on Scientific Big Data and Machine Learning was a great opportunity for us to work together along with other 21 other students from different countries in the world from different professional and academia backgrounds. The Training Workshop was amazing, we learned, practised and exchanged academic knowledge as well as building on our existing networks and expertise.
The workshop introduced us to various aspects of Scientific Big Data and Machine Learning with hands on experience: This has stimulated our sureness to start working with these concepts in our environments. We can now start looking into implementing Data science, Visualization, Machine learning and Artificial Neural Networks in our university curriculum & work environs.
The CODATA-CAS workshop in Beijing, China, in September 2019, was the best for us. We wanted to learn and meet new people, ideas and experience different cultures. We are thankfull to CODATA and CAS for their genuine support in attaining these goals. It has been amongest the best experiences in our live’s. We created strong friendships that we hope we will be able to maintain over the next few years if not for lifetime.
As our friend “Batzaya” from Mongolia Would Say, “Wakanda Forever”, Then we say “CODATA Foever”.
The main activites in the training workshop were spread into two weeks of both class room and hands on experience. To mention afew; Data Visualization at Peking University by Professor Xiaoru Yuan was an outstading and novelty which really crowned the training workshop. We look into the future of experiencing some novelty again and again if given the chance.
At the closing session ceremony, Dr. Simon Hodson, Executive Director of CODATA, asked the participants: “so, what have you learned? and what will you do next?” What we have learned was the idea of Open Science and its FAIR Data Principles was a major key to workshop and Conference. We’ve learned different issues on why data can be shared, how it can be analyzed, which data has long term value as well as benefits of storing, protecting, sharing, and publishing data among research scientists. It’s true that most of the researchers would like their data to be publicly stored and accessible by other researchers, however, this is not easy for researchers who do not have clearly defined ways to do this, or do not know, how to make their data accessible to others. Knowledge of data management plans for the hosting research institutes is required to ensure that researchers can define ways to store their datasets in a publicly accessible way after their experiments and publishing are done. Once the research data is stored in a publicly accessible manner, it then needs to be preserved in a format which can be reused by other researchers. In this workshop, the courses that were taught were: Programming-in-R, Cloud Computing, UNIX Shell, ggplot2, Data Visualisation, SQL, Machine Learning, Data Science, Artificial Neural Networks, Particle accelerator, Research Computational Infrastructure, HOC and HTC, Research Data Management. These courses gave us very good skills and knowledge about Data Science which can help us to facilitate the sharing of data – it was great experience. The team understood why open access and data sharing is important in todays data space.
Lastly but not the least, was the wonderful arrangements done by Ms. Wang Ting in assisting us with any logistical challanges occurring during the practical sessions. This was an outstanding style from her. It was one of the most enjoyable and informative moments of our lives.
Thanks to CODATA, and CAS for your support and as well as to all our fellow participants for making it possible and fun.
“We Meet, We Learn, We connect, We Fall in Love”
“The 4 Musketters from East Africa”.
December 2019: Publications in the Data Science Journal
December 2019: Publications in the Data Science Journal
|Title: The Norwegian National Ground Segment; Preservation, Distribution and Exploitation of Sentinel Data
Author: Trygve Halsne, Lara Ferrighi, Bard Saadatnejad, Nico Budewitz, Frode Dinessen, Lars-Anders Breivik, Øystein Godøy
|Title: “Data Stewardship Wizard”: A Tool Bringing Together Researchers, Data Stewards, and Data Experts around Data Management Planning
Author:Robert Pergl, Rob Hooft, Marek Suchánek, Vojtěch Knaisl, Jan Slifka
|Title: A Discussion of Value Metrics for Data Repositories in Earth and Environmental Sciences
Author: Cynthia Parr, Corinna Gries, Margaret O’Brien, Robert R. Downs, Ruth Duerr, Rebecca Koskela, Philip Tarrant, Keith E. Maull, Nancy Hoebelheinrich, Shelley Stall