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facilitating data validation and reuse 67 captures 12 mar 2020 17 jun 2025 oct nov dec 26 2021 2022 2023 success fail about this capture timestamps the wayback machine http web archive org web 20221126101738 https okfn org what we do case studies facilitating data validation and reuse open knowledge foundation open the menu facebook twitter donate subscribe what we do training services community and campaigns examples of our work who we are team board of directors governance funders the open knowledge network what is open definition how to open data why open data about mission our impact press contact us jobs code of conduct blog search submit cancel facilitating data validation and reuse an elife case study what we do training services community and campaigns examples of our work facilitating data validation and reuse versatile visualisation of open budget data creating an open data publication toolkit celebrating open data with communities across the world building an open database of information on all clinical trials frictionless publication and use of fiscal data mapping the state of open government data across the globe improving geolocation data for schools in tanzania open knowledge justice programme who we are team board of directors board meeting minutes governance funders the open knowledge network what is open definition how to open data why open data about mission our impact ckan the open definition frictionless data school of data open spending open knowledge labs the open data handbook the data journalism handbook global network the public domain review open data day csvconf press press releases press resources contact us jobs code of conduct blog elife supports the sharing of research data at the time of publication we worked with elife to set up measures to assess the data quality so that the value of this shared data is better understood by the research community we also established a way to identify issues to inform a strategy for improving data quality and reuse by supporting researchers to prepare data in machine friendly ways opportunity data sharing is an important cornerstone in the movement towards more reproducible science it provides a means to validate assertions made which is why many journals and funders require research data to be shared publicly and appropriately within a reasonable timeframe following a research project open research data is an important asset in the record of original research and its reuse in different contexts helps to make the research enterprise more efficient sharing and reusing research data is fairly common however the poor quality of data and lack of documentation are significant factors preventing this data from being reused researchers can spend a lot of time cleaning restructuring and comparing multiple datasets prior to publication this is a barrier to making that data available there is an opportunity to improve the reusability of research data in a way that requires minimal effort on the researcher s part how we helped at elife authors are encouraged to deposit their data in an external repository and to cite the datasets in their articles where this is not possible or suitable they can publish source data as supplements to the articles themselves the data files are then stored in the elife data repository and made available through download links available within the articles informed by work building and deploying the ckan open source data portal platform and based on learning about various data publication workflows the frictionless data team at okf has developed solutions to remove the barriers in obtaining sharing and validating data these help people truly benefit from the wealth of data being opened up every day one such solution to these barriers is good tables a library and web service developed to support the validation of tabular datasets both in terms of structure and also with respect to a published schema good tables was used to evaluate the quality of source data shared directly through elife and through this tool we were able to produce a report highlighting common errors this allowed us to understand the current state of elife published data and opened the possibility of doing more exciting things with it such as more comprehensive tests and visualisations a detailed walkthrough of the processes we went through can be found here results the resulting analysis gave elife overall confidence in the quality of their data as well as where improvement was needed a key finding was that researchers tend to present data with a view to a human visually inspecting it for example cells were highlighted in colours or were used to visually separate different groups of data we found that the reusability of datasets shared with elife could be improved by publishing data in machine friendly ways where this is appropriate this means that efforts can be made to educate researchers and help them to prepare their data with this in mind for example through updated documentation and publication advice because certain types of errors are so common particularly with excel files we have introduced default ignore blank rows and ignore duplicate rows options in our standalone validator goodtables io to help bring more complex issues to the surface this allowed elife to focus attention on other errors which were less trivial to resolve we also found a few issues with the data itself beyond presentation preferences which were more easily resolved more than three quarters of the articles analyzed contained at least one invalid file much less frequent errors were related to difficulties retrieving and opening data files the ability of our validation process to identify this problem was of great benefit to elife allowing the publishers to check continued data availability after publication once published this properly structured tabular data is easier to open in different user tools and schemas describing the data allow easier reuse which facilitates the reproduction of data reproducibility is a key benefit critical in rigorous scientific testing having clean and well described data facilitates the easy comparison of results and ensures their validity good tables makes data quality issues visible by providing a slick user experience and reports that can be understood by anyone working with data the reports produced will be a vital educational tool in helping elife communicate the importance of data quality to researchers publishing to the platform and helping them to consider addressing their own data overall this will result in better quality and more useful data on the platform and will help to highlight the overall importance of published open data in the research ecosystem be more open our experienced team works with a range of international organisations and governments around the world to find out more about how we can help your organisation become more open get in touch updating the master provider index is a ten minute process with data packages from open knowledge we ve dramatically accelerated a process that used to be two days of work claudiu branzan principal software engineer atigeo very informative introduction to open data delivered in a professional yet relaxed way encouraging lots of discussions julie clough health and social care information center support a fair free and open future donate now open knowledge foundation privacy policy ip policy cookie policy terms of use jobs contact source code available under the mit license cc by content on this site made by open knowledge foundation is licensed under a creative commons attribution 4 0 international license refer to our attributions page for attributions of other work on the site what we do training services community and campaigns examples of our work facilitating data validation and reuse versatile visualisation of open budget data creating an open data publication toolkit celebrating open data with communities across the world building an open database of information on all clinical trials frictionless publication and use of fiscal data mapping the state of open government data across the globe improving geolocation data for schools in tanzania open knowledge justice programme who we are team board of directors board meeting minutes governance funders the open knowledge network what is open definition how to open data why open data about mission our impact ckan the open definition frictionless data school of data open spending open knowledge labs the open data handbook the data journalism handbook global network the public domain review open data day csvconf press press releases press resources contact us jobs code of conduct blog facebook twitter donate subscribe