Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv

FZ Khan, S Soiland-Reyes, RO Sinnott, A Lonie… - …, 2019 - academic.oup.com
Background The automation of data analysis in the form of scientific workflows has become
a widely adopted practice in many fields of research. Computationally driven data-intensive …

Packaging research artefacts with RO-Crate

S Soiland-Reyes, P Sefton, M Crosas, LJ Castro… - Data …, 2022 - content.iospress.com
An increasing number of researchers support reproducibility by including pointers to and
descriptions of datasets, software and methods in their publications. However, scientific …

The human plasma proteome draft of 2017: building on the human plasma PeptideAtlas from mass spectrometry and complementary assays

JM Schwenk, GS Omenn, Z Sun… - Journal of proteome …, 2017 - ACS Publications
Human blood plasma provides a highly accessible window to the proteome of any individual
in health and disease. Since its inception in 2002, the Human Proteome Organization's …

FaceBase 3: analytical tools and FAIR resources for craniofacial and dental research

BD Samuels, R Aho, JF Brinkley, A Bugacov… - …, 2020 - journals.biologists.com
ABSTRACT The FaceBase Consortium was established by the National Institute of Dental
and Craniofacial Research in 2009 as a 'big data'resource for the craniofacial research …

The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain

SA Ament, RS Adkins, R Carter… - Nucleic acids …, 2023 - academic.oup.com
Scalable technologies to sequence the transcriptomes and epigenomes of single cells are
transforming our understanding of cell types and cell states. The Brain Research through …

FAIR computational workflows

C Goble, S Cohen-Boulakia, S Soiland-Reyes… - Data …, 2020 - direct.mit.edu
Computational workflows describe the complex multi-step methods that are used for data
collection, data preparation, analytics, predictive modelling, and simulation that lead to new …

Recording provenance of workflow runs with RO-Crate

S Leo, MR Crusoe, L Rodríguez-Navas, R Sirvent… - PLoS one, 2024 - journals.plos.org
Recording the provenance of scientific computation results is key to the support of
traceability, reproducibility and quality assessment of data products. Several data models …

FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy

N Ravi, P Chaturvedi, EA Huerta, Z Liu, R Chard… - Scientific Data, 2022 - nature.com
A concise and measurable set of FAIR (Findable, Accessible, Interoperable and Reusable)
principles for scientific data is transforming the state-of-practice for data management and …

[HTML][HTML] Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers

N Nikolov, YD Dessalk, AQ Khan, A Soylu, M Matskin… - Internet of Things, 2021 - Elsevier
Big Data processing, especially with the increasing proliferation of Internet of Things (IoT)
technologies and convergence of IoT, edge and cloud computing technologies, involves …

[HTML][HTML] Sharing begins at home: how continuous and ubiquitous FAIRness can enhance research productivity and data reuse

W Dempsey, I Foster, S Fraser… - Harvard data science …, 2022 - ncbi.nlm.nih.gov
The broad sharing of research data is widely viewed as critical for the speed, quality,
accessibility, and integrity of science. Despite increasing efforts to encourage data sharing …