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Meet Lily Zhao, one of our Frictionless Data for Reproducible Research Fellows

- November 18, 2019 in Frictionless Data

The Frictionless Data for Reproducible Research Fellows Programme is training early career researchers to become champions of the Frictionless Data tools and approaches in their field. Fellows will learn about Frictionless Data, including how to use Frictionless Data tools in their domains to improve reproducible research workflows, and how to advocate for open science. Working closely with the Frictionless Data team, Fellows will lead training workshops at conferences, host events at universities and in labs, and write blogs and other communications content. I am thrilled to be joining the Open Knowledge Foundation community as a Frictionless Data fellow. I am an interdisciplinary marine scientist getting my PhD at in the Ocean Recoveries Lab at the University of California Santa Barbara. I study how coral reefs, small-scale fisheries, and coastal communities are affected by environmental change and shifting market availability. In particular, I’m interested in how responsible, solutions-oriented science can help build resilience in these systems and improve coastal livelihoods. My current fieldwork is based in Mo’orea, French Polynesia. With an intricate tapestry of social dynamics and strong linkages between it’s terrestrial and marine environments, the island of Mo’orea is representative of the complexity of coral reef social-ecological systems globally. The reefs around Mo’orea are also some of the most highly studied in the world by scientists. In partnership with the University of French Polynesia and the Atiti’a Center, I recently interviewed local associations, community residents and the scientific community to determine how science conducted in Mo’orea can better serve residents of Mo’orea. One of our main findings is the need for increased access to the scientific process and open communication of scientific findings— both of which are tenets of an open science philosophy. I was introduced to open data science just a year ago as part of the Openscapes program– a Mozilla Firefox and National Center for Ecological Analysis and Synthesis initiative. Openscapes connected me to the world of open software and made me acutely aware of the pitfalls of doing things the way I had always done them. This experience made me excited to learn new skills and join the global effort towards reproducible research. With these goals in mind, I was eager to apply for the Frictionless Data Fellowship where I could learn and share new tools for data reproducibility. So far as a Frictionless Data Fellow, I have particularly enjoyed our conversations about “open” for whom? That is: who is open data science open for? And how can we push to increase inclusivity and access within this space?

A little bit about open data in the context of coral reef science

Coral reefs provide food, income, and coastal protection to over 500 million people worldwide. Yet globally, coral reefs are experiencing major disturbances, with many already past their ecological tipping points. Total coral cover (the abundance of coral seen on a reef) is the simplest and most highly used metric of coral resistance and recovery to climate change and local environmental stressors. However, to the detriment of coral reef research, there is not an open global database of coral cover data for researchers to build off of. The effort and money taken to conduct underwater surveys make coral cover data highly coveted and thus these data are often not available publicly. In the future, I hope to collaborate with researchers around the world to build an open, global database of coral cover data. Open datasets and tools, when used by other researchers, show promise in their ability to efficiently propel research forward. In other fields, open science has accelerated the rate of problem-solving and new discoveries. In the face of climate change, the ability to not reinvent the wheel with each new analysis can allow us to conduct reef resilience research at the speed with which coral reef degradation necessitates. Ultimately, I deeply believe that maintaining coral-dominated ecosystems will require: 1) amplification of the perspectives of coastal communities; and 2) open collaboration and data accessibility among scientists worldwide.

Frictionless Data for Reproducible Research Fellows Programme

More on Frictionless Data

The Fellows programme is part of the Frictionless Data for Reproducible Research project at Open Knowledge Foundation. This project, funded by the Sloan Foundation, applies our work in Frictionless Data to data-driven research disciplines, in order to facilitate data workflows in research contexts. Frictionless Data is a set of specifications for data and metadata interoperability, accompanied by a collection of software libraries that implement these specifications, and a range of best practices for data management. Frictionless Data’s other current projects include the Tool Fund, in which four grantees are developing open source tooling for reproducible research. The Fellows programme will be running until June 2020, and we will post updates to the programme as they progress. • Originally published at http://fellows.frictionlessdata.io/blog/hello-lily/

Meet Daniel Ouso, one of our Frictionless Data for Reproducible Research Fellows

- November 4, 2019 in Frictionless Data

The Frictionless Data for Reproducible Research Fellows Programme is training early career researchers to become champions of the Frictionless Data tools and approaches in their field. Fellows will learn about Frictionless Data, including how to use Frictionless Data tools in their domains to improve reproducible research workflows, and how to advocate for open science. Working closely with the Frictionless Data team, Fellows will lead training workshops at conferences, host events at universities and in labs, and write blogs and other communications content. You can call me Daniel Ouso. My roots trace to the lake basin county of Homabay in the Equatorial country in the east of Africa; Kenya. Currently, I live in its capital Nairobi – once known as “The Green City in the Sun”, although thanks to the poor stewardship to Mother Nature this is now debatable. The name is Maasai for a place of cool waters. But enough of beautiful Kenya. I work in the International Centre of Insect Physiology and Ecology as a Bioinformatics expert within the Bioinformatics Unit involved in bioinformatics training and genomic data management. I am a master of science in Molecular biology and Bioinformatics (2019) from Jomo Kenyatta University of Agriculture and Technology, Kenya. My previous work is in infectious disease management and a bit of conservation. My long-term interest is in disease genomics research. I am passionate about research openness and reproducibility, which I gladly noticed as a common interest in the Frictionless Data Fellowship (FDF). I have had previous experience working on a Mozilla Open Science project that really piqued my interest in wanting to learn skills and to expand my knowledge and perspective in the area. To that destination, this fellowship advertised itself as the best vehicle, and it was a frictionless decision to board. My goal is to become a better champion for open-reproducible research by learning data and metadata specifications for interoperability, the associated programmes/libraries/packages and data management best practices. Moreover, I hope to discover additional resources, to network and exchange with peers, and ultimately share the knowledge and skills acquired. Knowledge is cumulative and progressive, an infinite cycle, akin to a corn plant, which grows into a seed from a seed, in between helped by the effort of the farmer and other factors. Whether or not the subsequent seed will be replanted depends, among other competitions, on its quality. You may wonder where I am going with this, so here is the point: for knowledge to bear it must be shared promiscuously; to be verified and to be built upon. The rate of research output is very fast, and so is the need for advancement of the research findings. However, the conclusions may at times be wrong. To improve knowledge, the goal of research is to deepen understanding and confirm findings and claims through reproduction. However, this is dependent on the contribution of many people from diverse places, as such, there is an obvious need to remove or minimise obstacles to the quest for research excellence. As a researcher, I believe that to keep with the rate of research production, findings and data from it must be made available in a form that doesn’t antagonise its re-use or/and validation for further research. It means reducing friction on the research wheel by making research easier, cheaper and quicker to conduct, which will increase collaboration and prevent the reinvention of the wheel. To realise this, it is incumbent on me (and others) to make my contribution both as a producer and an affected party, especially seeing that exponentially huge amounts of biological data continue to be produced. Simply, improving research reproducibility is the right science of this age. I am a member of The Carpentries community as an instructor and currently also in the task force planning the CarpentryCon2020, and hope to meet some of OKF community members there. I am excited to join this community as a Frictionless Data Fellowship! You can find important links and follow my fellowship here.

Frictionless Data for Reproducible Research Fellows Programme

More on Frictionless Data

The Fellows programme is part of the Frictionless Data for Reproducible Research project at Open Knowledge Foundation. This project, funded by the Sloan Foundation, applies our work in Frictionless Data to data-driven research disciplines, in order to facilitate data workflows in research contexts. Frictionless Data is a set of specifications for data and metadata interoperability, accompanied by a collection of software libraries that implement these specifications, and a range of best practices for data management. Frictionless Data’s other current projects include the Tool Fund, in which four grantees are developing open source tooling for reproducible research. The Fellows programme will be running until June 2020, and we will post updates to the programme as they progress. • Originally published at http://fellows.frictionlessdata.io/blog/hello-ouso/

Meet Sele Yang, one of our Frictionless Data for Reproducible Research Fellows

- October 29, 2019 in Frictionless Data

The Frictionless Data for Reproducible Research Fellows Programme is training early career researchers to become champions of the Frictionless Data tools and approaches in their field. Fellows will learn about Frictionless Data, including how to use Frictionless Data tools in their domains to improve reproducible research workflows, and how to advocate for open science. Working closely with the Frictionless Data team, Fellows will lead training workshops at conferences, host events at universities and in labs, and write blogs and other communications content. I’m Selene Yang, an unapologetic feminist, a map lover and a social communications researcher. I was born in Costa Rica, but my family is from Nicaragua and I’m half Taiwanese. I also live and work in Paraguay and did my PhD in Argentina. A little confusing, right? I’m also a Human Rights advocate working at a digital rights defender organization called TEDIC, and I’m part of the Research Center for Communications and Public Policies of the National University of La Plata. I also have a cat. At this moment I’m currently working on my dissertation project that grapples with the process of gathering, editing and curating open geospatial data through Volunteer Geographic Information (VGI) in OpenStreetmap (OSM); my research also looks at the interrelationship between mapped objects and the gender of the mappers, to understand its consequence on the perception, use and appropriation of space. My main research question is: What relevance does the representation of space have for women in relation to the practices of data creation, collection, curatorship and visibility? This project has it’s practice based with Geochicas, a group of more than 200 women mappers from 22 different countries in 5 continents who are determined to close the gender gap in the geo-communities through safe learning spaces, community based analysis and data visualisation projects. How did I get here and why is being a frictionless data fellow so important to me? Throughout my career, I have been concerned with how to generate fruitful collaborations between social and data sciences. I believe such collaborations can produce a more equal and broad access to knowledge within the global south. Even though the use of data for the social sciences can often be seen as quantitative and objective instruments, I consider it necessary to find new and creative ways in which findings can be shared, analysed and reproduced in ways in which knowledge can operate fluidly, and as a result of this we can bridge the gaps in the inequality of knowledge production. As a result of this fellowship, I want to understand if there’s an unseen, un-analysed relationship between the mappers’ gender and the objects mapped by them, and how we can better manage potentially gender biased data structures. I consider it of great importance to generate practices, methodologies and concepts that can be useful to create and strengthen an academic community where the culture of openness, diversity and inclusion are the founding bases of knowledge production.

En español

Soy Selene Yang, feminista, amante de los mapas e investigadora en comunicación social. Nací en Costa Rica, pero mi familia es de Nicaragua y soy mitad taiwanesa. Hoy en día vivo y trabajo en Paraguay, y realicé mi doctorado en Comunicación en Argentina. ¿Medio confuso, no? También soy defensora de los derechos humanos y trabajo en TEDIC, una organización enfocada en defender los derechos digitales. También soy parte del Centro de Investigación en Comunicación y Políticas Públicas de la Universidad Nacional de La Plata. También tengo un gato. Actualmente me encuentro trabajando en terminar mi proyecto de disertación doctoral, el cual se enfoca en el análisis sobre la recolección, edición y curaduría de datos geoespaciales abiertos desde la Información Geográfica Voluntaria (VIG por sus siglas en inglés) en OpenStreetmap. También, desde mi investigación, busco conectar las relaciones que existen entre los objetos mapeados y el género de las personas que los mapean, para consecuentemente entender la percepción, el uso y la apropiación de los espacios públicos para las mujeres. La pregunta principal de mi investigación es: ¿Qué relevancia tiene la representación del espacio para las mujeres en relación a las prácticas de creación, recolección, curaduría y visualización de datos? Esta pregunta se inscribe en las prácticas de la colectiva Geochicas, un grupo de más de 200 mujeres mapeadoras, de 22 países distintos, en 5 continentes, quienes están comprometidas a cerrar la brecha de género en las geo-comunidades a través de la creación de espacios de aprendizaje seguros, análisis comunitarios y proyectos de visualización de datos. ¿Cómo llegué acá, y por qué este programa es tan importante para mi? Durante mi carrera, he buscado formas en las cuales se puedan generar vínculos y colaboraciones entre las ciencias sociales y las ciencias de datos. Considero que este tipo de alianzas interdisciplinarias son fundamentales para generar un conocimiento más accesible y equitativo dentro del sur global. A pesar de que las ciencias sociales consideren los datos como instrumentos objetivos y meramente cuantificables, creo que es necesario encontrar creatividad en las nuevas formas en las que los hallazgos de las investigaciones puedan ser compartidas, analizadas y reproducidas para que puedan operar fluidamente, y de esta forma poder cerrar las brechas que existen en la producción de conocimiento. Como resultado de este programa, quisiera entender si es que existe una relación no vista y tampoco analizada entre el gńero de las personas que mapean y los objetos geográficos en relación a las experiencias espaciales, para encontrar mejores formas de manejar las potenciales estructuras de datos sesgadas. Considero de gran importancia generar prácticas, metodologías y conceptos que puedan aportar a la creación y fortalecimiento de una comunidad académica donde la cultura de la apertura, diversidad e inclusividad sean las bases de la producción de saberes.

Frictionless Data for Reproducible Research Fellows Programme

More on Frictionless Data

The Fellows programme is part of the Frictionless Data for Reproducible Research project at Open Knowledge Foundation. This project, funded by the Sloan Foundation, applies our work in Frictionless Data to data-driven research disciplines, in order to facilitate data workflows in research contexts. Frictionless Data is a set of specifications for data and metadata interoperability, accompanied by a collection of software libraries that implement these specifications, and a range of best practices for data management. Frictionless Data’s other current projects include the Tool Fund, in which four grantees are developing open source tooling for reproducible research. The Fellows programme will be running until June 2020, and we will post updates to the programme as they progress. • Originally published at http://fellows.frictionlessdata.io/blog/hello-sele/

csv,conf returns for version 5 in May

- October 15, 2019 in #CSVconf, Events, Frictionless Data, News, Open Data, Open Government Data, Open Research, Open Science, Open Software

Save the data for csv,conf,v5! The fifth version of csv,conf will be held at the University of California, Washington Center in Washington DC, USA, on May 13 and 14, 2020.    If you are passionate about data and its application to society, this is the conference for you. Submissions for session proposals for 25-minute talk slots are open until February 7, 2020, and we encourage talks about how you are using data in an interesting way (like to uncover a crossword puzzle scandal). We will be opening ticket sales soon, and you can stay updated by following our Twitter account @CSVconference.   csv,conf is a community conference that is about more than just comma-sepatated-values – it brings together a diverse group to discuss data topics including data sharing, data ethics, and data analysis from the worlds of science, journalism, government, and open source. Over two days, attendees will have the opportunity to hear about ongoing work, share skills, exchange ideas (and stickers!) and kickstart collaborations.   
csv,conf,v4

Attendees of csv,conf,v4

First launched in July 2014,  csv,conf has expanded to bring together over 700 participants from 30 countries with backgrounds from varied disciplines. If you’ve missed the earlier years’ conferences, you can watch previous talks on topics like data ethics, open source technology, data journalism, open internet, and open science on our YouTube channel. We hope you will join us in Washington D.C. in May to share your own data stories and join the csv,conf community!   Csv,conf,v5 is supported by the Sloan Foundation through OKFs Frictionless Data for Reproducible Research grant as well as by the Gordon and Betty Moore Foundation, and the Frictionless Data team is part of the conference committee. We are happy to answer all questions you may have or offer any clarifications if needed. Feel free to reach out to us on csv-conf-coord@googlegroups.com, on twitter @CSVconference or our dedicated community slack channel   We are committed to diversity and inclusion, and strive to be a supportive and welcoming environment to all attendees. To this end, we encourage you to read the Conference Code of Conduct.
Rojo the Comma Llama

While we won’t be flying Rojo the Comma Llama to DC for csv,conf,v5, we will have other mascot surprises in store.

Join #Hacktoberfest 2019 with Frictionless Data

- October 3, 2019 in Frictionless Data, hackathon

The Frictionless Data team is excited to participate in #Hacktoberfest 2019! Hacktoberfest is a month-long event where people from around the world contribute to open source software (and – you can win a t-shirt!). How does it work? All October, the Frictionless Data repositories will have issues ready for contributions from the open source community. These issues will be labeled with ‘Hacktoberfest’ so they can be easily found. Issues will range from beginner level to more advanced, so anyone who is interested can participate. Even if you’ve never contributed to Frictionless Data before, now is the time!  To begin, sign up on the official website (https://hacktoberfest.digitalocean.com) and then read the OKF project participation guidelines + code of conduct and coding standards. Then find an issue that interests you by searching through the issues on the main Frictionless libraries (found here) and also on our participating Tool Fund repositories here. Next, write some code to help fix the issue, and open a pull request for the Frictionless Team to review. Finally, celebrate your contribution to an open source project! We value and rely on our community, and are really excited to participate in this year’s #Hacktoberfest. If you get stuck or have questions, reach out to the team via our Gitter channel, or comment on an issue. Let’s get hacking!

A halfway point update from the 2019 Frictionless Data Tool Fund

- September 25, 2019 in Featured, Frictionless Data, tool fund

In June 2019, we launched the Frictionless Data Tool Fund to facilitate reproducible data workflows in research contexts. Our four Tool Fund grantees are now at the halfway point of their projects, and have made great progress. Read on to learn more about these projects, their next steps, and how you can also contribute.

Stephan Max: Data Package tools for Google Sheets

Stephan’s Tool Fund work is focused on creating an add-on for Google Sheets to allow for Data Package import and export. With this tool, researchers (and other data wranglers) that use Google Sheets will be able to quickly and easily incorporate Data Packages into their existing data processing workflows. Recently, Stephan created a prototype that you can test at the project’s GitHub Repo by following the steps outlined in the README file: https://github.com/frictionlessdata/googlesheets-datapackage-tools. Next steps for Stephan’s project include enhancing the user interface, and adding additional information such as licensing options for the export button. If you try the prototype, please leave Stephan feedback as an issue in the repository.

João Peschanski and team: Neuroscience Experiments System (NES)

To improve the way neuroscience experimental data and metadata is shared, João and the team at the Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) are working on implementing Data Packages into their Neuroscience Experiments System (NES). NES is an open-source tool for data collection that stores large amounts of data in a structured way. This tool aims to assist neuroscience research laboratories in routine experimental procedures. During the Tool Fund, João and team have created a Data Package exportation module from within NES that reflects the Frictionless specifications for data and metadata interoperability. This export includes a JSON file descriptor (a datapackage.json file) with information related to how the experiment was performed, with a goal of increasing reproducibility. Next steps for the team include more testing and gathering feedback, and then a public release. The NES GitHub repository can be seen here: https://github.com/neuromat/nes.

André Heughebaert: DarwinCore Archive Data Package support

Inspired by his work with the Global Biodiversity Information Facility (GBIF), André is converting DarwinCore Archives into Data Packages for his Tool Fund project. The DarwinCore is a standard describing biological diversity that is intended to increase interoperability of biological data. André has recently completed a first release of the tool, which appends datapackage.json and README.md files containing the data descriptors and human readable metadata to the DarwinCore archive. This release supports all standard DarwinCore terms, and has been tested with several use cases. You can read more about Frictionless DarwinCore and see all of the use cases André tested for the beta release in the repo’s README file. If you want to test or contribute to this Tool Fund project, please open an issue in the repository.

Shelby Switzer and Greg Bloom: Open Referral Human Services data package support

Shelby’s Tool Fund work is building out datapackage support for Open Referral’s Human Service Data Specification (HSDS) and Human Service Data API Suite (HSDA). Open Referral develops data standards and open source tools for health, human, and social services. For the Tool Fund, Shelby has been developing on their HSDS-Transformer, which takes raw data, transforms it to HSDS format, and then packages it as a datapackage within a zip file, so users can work with tidily packaged data. For example, Shelby and the Open Referral team have been working with 2-1-1 in Miami-Dade, Florida, to help transform and share their resource directory database with their partners in a more sustainable fashion. Next steps for Shelby include creating a UI for their HSDS-Transformer so that anyone can access HSDS-compliant datapackages. Shelby will also be contributing to the improvement of the datapackage Ruby gem during this project.

A warm welcome to our Frictionless Data for Reproducible Research Fellows

- August 29, 2019 in Featured, Frictionless Data, Open Science

As part of our commitment to opening up scientific knowledge, we recently launched the Frictionless Data for Reproducible Research Fellows Programme, which will run from mid-September until June 2020.  We received over 200 impressive applications for the Programme, and are very excited to introduce the four selected Fellows:
  • Monica Granados, a Mitacs Canadian Science Policy Fellow; 
  • Selene Yang, a graduate student researcher at the National University of La Plata, Argentina; 
  • Daniel Ouso, a postgraduate researcher at the International Centre of Insect Physiology and Ecology; 
  • Lily Zhao, a graduate student researcher at the University of California, Santa Barbara. 
Next month, the Fellows will be writing blogs to further introduce themselves to the Frictionless Data community, so stay tuned to learn more about these impressive researchers. The Programme will train early career researchers to become champions of the Frictionless Data tools and approaches in their field. Fellows will learn about Frictionless Data, including how to use Frictionless tools in their domains to improve reproducible research workflows, and how to advocate for open science. Working closely with the Frictionless Data team, Fellows will lead training workshops at conferences, host events at universities and in labs, and write blogs and other communications content. As the programme progresses, we will be sharing the Fellows’ work on making research more reproducible with the Frictionless Data software suite by posting a series of blogs here and on the Fellows website. In June 2020, the Programme will culminate in a community call where all Fellows will present what they have learned over the nine months: we encourage attendance by our community. If you are interested in learning more about the Programme, the syllabus, lessons, and resources are open.

More About Frictionless Data

The Fellows Programme is part of the Frictionless Data for Reproducible Research project at Open Knowledge Foundation. This project, funded by the Sloan Foundation, applies our work in Frictionless Data to data-driven research disciplines, in order to facilitate data workflows in research contexts. Frictionless Data is a set of specifications for data and metadata interoperability, accompanied by a collection of software libraries that implement these specifications, and a range of best practices for data management. Frictionless Data’s other current projects include the Tool Fund, in which four grantees are developing open source tooling for reproducible research. The Fellows Programme will be running until June 2020, and we will post updates to the Programme as they progress.

Meet our 2019 Frictionless Data Tool Fund grantees

- July 4, 2019 in Featured, Frictionless Data

In order to facilitate reproducible data workflows in research contexts, we recently launched the Frictionless Data Tool Fund. This one-time $5,000 grant attracted over 90 applications from researchers, developers, and data managers from all over the world. We are very excited to announce the four grantees for this round of funding, and have included a short description of each grantee and their project in this announcement. For a more in depth profile of each grantee and their Tool Fund projects, as well as information about how the community can help contribute to their work, follow the links in each profile to learn more. We look forward to sharing their work on developing open source tooling for reproducible research built using the Frictionless Data specifications and software.   

Stephan Max

Stephan Max is a computer scientist based in Cologne, Germany, that is passionate about making the web a fair, open, and safe place for everybody. Outside of work, Stephan has contributed to the German OKF branch as a mentor for the teenage hackathon weekends project “Jugend Hackt” (Youth Hacks). Stephan’s Tool Fund project will be to create a Data Package import/export add-on to Google Sheets.
“How can we feed spreadsheets back into a Reproducible Research pipeline? I think Data Packages is a brilliant format to model and preserve exactly that information.”

Read more about Stephan and the Google Sheets Data Package add-on here.  

Carlos Ribas and João Peschanski

João Alexandre Peschanski and Carlos Eduardo Ribas work with the Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat), from the São Paulo Research Foundation. They are focused on developing open-source computational tools to advance open knowledge, open science, and scientific dissemination. They will be using the Tool Fund to work on the Neuroscience Experiments System (NES), which is an open-source tool that aims to assist neuroscience research laboratories in routine procedures for data collection.
“The advantages of the Frictionless Data approach for us is fundamentally to be able to standardize data opening and sharing within the scientific community.”
Read more about Carlos, João, and NES here.  

André Heughebaert

André Heughebaert is an IT Software Engineer at the Belgian Biodiversity Platform and is the Belgian GBIF Node manager. As an Open Data advocate, André works with GBIF and the Darwin Core standards and related Biodiversity tools to support publication and re-use of Open Data. André’s Tool Fund project will automatically convert Darwin Core Archive into Frictionless Data Packages. 
“I do hope Frictionless and GBIF communities will help me with issuing/tracking and solving incompatibilities, and also to build up new synergies.”
Read more about André and the Darwin Core Data Package project here.  

Greg Bloom and Shelby Switzer

Shelby Switzer and Greg Bloom work with Open Referral, which develops data standards and open source tools for health, human, and social services. Shelby is a long-time civic tech contributor, and Greg is the founder of the Open Referral Initiative. For the Tool Fund, they will be building out Data Package support for all their interfaces, from the open source tools that transform and validate human services data to the Human Services API Specification.
“With the Frictionless Data approach, we can more readily work with data from different sources, with varying complexity, in a simple CSV format, while preserving the ability to easily manage transformation and loading.”
Read more about Greg, Shelby, and their Tool Fund project here.  

More About Frictionless Data

The Tool Fund is part of the Frictionless Data for Reproducible Research project at Open Knowledge Foundation. This project, funded by the Sloan Foundation, applies our work in Frictionless Data to data-driven research disciplines. Frictionless Data is a set of specifications for data and metadata interoperability, accompanied by a collection of software libraries that implement these specifications, and a range of best practices for data management. The Tool Fund projects will be running through the end of 2019, and we will post updates to the projects as they progress.

Open call: become a Frictionless Data Reproducible Research Fellow

- May 8, 2019 in Featured, fellowship program, Frictionless Data, grant, Open Science

The Frictionless Data Reproducible Research Fellows Program, supported by the Sloan Foundation, aims to train graduate students, postdoctoral scholars, and early career researchers how to become champions for open, reproducible research using Frictionless Data tools and approaches in their field. Fellows will learn about Frictionless Data, including how to use Frictionless tools in their domains to improve reproducible research workflows, and how to advocate for open science. Working closely with the Frictionless Data team, Fellows will lead training workshops at conferences, host events at universities and in labs, and write blogs and other communications content. In addition to mentorship, we are providing Fellows with stipends of $5,000 to support their work and time during the nine-month long Fellowship. We welcome applications using this form from 8th May 2019 until 30th July 2019, with the Fellowship starting in the fall. We value diversity and encourage applicants from communities that are under-represented in science and technology, people of colour, women, people with disabilities, and LGBTI+ individuals.

Frictionless Data for Reproducible Research

The Fellowship is part of the Frictionless Data for Reproducible Research project at Open Knowledge International. Frictionless Data aims to reduce the friction often found when working with data, such as when data is poorly structured, incomplete, hard to find, or is archived in difficult to use formats. This project, funded by the Sloan Foundation, applies our work to data-driven research disciplines, in order to help researchers and the research community resolve data workflow issues.  At its core, Frictionless Data is a set of specifications for data and metadata interoperability, accompanied by a collection of software libraries that implement these specifications, and a range of best practices for data management. The core specification, the Data Package, is a simple and practical “container” for data and metadata. The Frictionless Data approach aims to address identified needs for improving data-driven research such as generalized, standard metadata formats, interoperable data, and open-source tooling for data validation.

Fellowship program

During the Fellowship, our team will be on hand to work closely with you as you complete the work. We will help you learn Frictionless Data tooling and software, and provide you with resources to help you create workshops and presentations. Also, we will announce Fellows on the project website and will be publishing your blogs and workshops slides within our network channels.  We will provide mentorship on how to work on an Open project, and will work with you to achieve your Fellowship goals.

How to apply

We welcome applications using this form from 8th May 2019 until 30th July 2019, with the Fellowship starting in the fall. The Fund is open to early career research individuals, such as graduate students and postdoctoral scholars, anywhere in the world, and in any scientific discipline. Successful applicants will be enthusiastic about reproducible research and open science, have some experience with communications, writing, or giving presentations, and have some technical skills (basic experience with Python, R, or Matlab for example), but do not need to be technically proficient. If you are interested, but do not have all of the qualifications, we still encourage you to apply. If you have any questions, please email the team at frictionlessdata@okfn.org, ask a question on the project’s gitter channel, or check out the Fellows FAQ section. Apply soon, and share with your networks!

Open Knowledge Foundation community meet up at csv,conf,v4

- April 16, 2019 in #CSVconf, Events

  • When: May 7th, 5-7pm
  • Location: Eliot Center, Portland, OR
  • Cost: Free; pizza & beverages available
Join Open Knowledge Foundation (OKF) for a community event the night before csv,conf,v4! This meet and greet happy hour will feature lightning talks on open projects, designated networking time, and pizza. We invite OKF community members to submit ideas for short lightning talks (5 minutes maximum). Do you want to give a talk, but aren’t already a member of the OKF community? No problem! We are an inclusive community of Open enthusiasts (open data, open science, open source, open government, etc), and the evening is open to anyone who wants to share their ideas. Come learn more about what we do, the open projects our members are working on, ways to get involved with an open project, and meet others! This event is open to all (including csv,conf,v4 attendees as well as other open enthusiasts).     More about csv,conf,v4 csv,conf is a community conference for data makers everywhere, bringing diverse groups together to discuss data topics, and featuring stories about data sharing and data analysis from science, journalism, government, and open source. It takes place from May 8-9 2019 at the Eliot Center in Portland, Oregon. More information on the program is available from the website, and you can still get your conference tickets on Eventbrite.   More about Open Knowledge Foundation (OKF): OKF is a global non-profit organisation and worldwide network of people passionate about openness, and using advocacy, technology and training to unlock information and enable people to work with it to create and share knowledge. Chat with us on Gitter, join a discussion on our Forum, or check out our projects for ways to get involved!