Getting Started Creating Data Dictionaries: How to Create a Shareable Data Set

Buchanan, Erin Michelle; Crain, Sarah E; Cunningham, Ari L.; Johnson, Hannah; Stash, Hannah; Παπαδάτου-Παστού, Μαριέττα; Isager, Peder Mortvedt; Carlsson, Rickard; Aczél, Balázs

doi:10.1177/2515245920928007

Cited by 16 publications

(13 citation statements)

References 23 publications

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“…In addition to these metadata, the information inside the data file might also be described. For this purpose, codebooks and data dictionaries are employed [ 39 , 40 ]. Considering a CSV file as an example, this includes information about each column such as the domain of the values and the unit of the measurements.…”

Section: Related Workmentioning

confidence: 99%

Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation

et al. 2022

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Background Electronic Laboratory Notebooks (ELNs) are used to document experiments and investigations in the wet-lab. Protocols in ELNs contain a detailed description of the conducted steps including the necessary information to understand the procedure and the raised research data as well as to reproduce the research investigation. The purpose of this study is to investigate whether such ELN protocols can be used to create semantic documentation of the provenance of research data by the use of ontologies and linked data methodologies. Methods Based on an ELN protocol of a biomedical wet-lab experiment, a retrospective provenance model of the raised research data describing the details of the experiment in a machine-interpretable way is manually engineered. Furthermore, an automated approach for knowledge acquisition from ELN protocols is derived from these results. This structure-based approach exploits the structure in the experiment’s description such as headings, tables, and links, to translate the ELN protocol into a semantic knowledge representation. To satisfy the Findable, Accessible, Interoperable, and Reuseable (FAIR) guiding principles, a ready-to-publish bundle is created that contains the research data together with their semantic documentation. Results While the manual modelling efforts serve as proof of concept by employing one protocol, the automated structure-based approach demonstrates the potential generalisation with seven ELN protocols. For each of those protocols, a ready-to-publish bundle is created and, by employing the SPARQL query language, it is illustrated that questions about the processes and the obtained research data can be answered. Conclusions The semantic documentation of research data obtained from the ELN protocols allows for the representation of the retrospective provenance of research data in a machine-interpretable way. Research Object Crate (RO-Crate) bundles including these models enable researchers to easily share the research data including the corresponding documentation, but also to search and relate the experiment to each other.

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Section: Related Workmentioning

confidence: 99%

Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation

et al. 2022

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“…Software packages exist to make the generation of codebooks easier (Arslan, 2019). There are tutorials (Buchanan et al, 2021) describing how to document datasets for more efficient future reuse, and there are community-driven dataset formats in fields closely related to developmental science that are worthy of consideration (Gorgolewski et al, 2016). Of course, publishing web-based protocols and code-books and sharing recordings of research procedures or display exemplars will not guarantee our studies can be reproduced by others (Epskamp, 2019).…”

Section: Widespread Sharing Of Methods and Materialsmentioning

confidence: 99%

An open developmental science will be more rigorous, robust, and impactful

Gilmore

Qian

2021

Infant and Child Development

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Developmental science poses some of the most profound problems in all of science and some of the most difficult ones. Because the answers are so important to human health and well-being, it's essential that researchers do everything possible to accelerate discovery and promote reproducibility and rigour. In this essay, we argue that fully embracing open practices-especially data and materials sharing-will achieve the goals of making developmental science more rigorous, robust, and impactful while simultaneously accelerating discovery.

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“…In addition to the data, it is important to share other related materials as well. Metadata-i.e., documentation about data such as codebooks and data dictionaries (Buchanan et al, 2021)should be included so that the data can be used most effectively. Some repositories such as Databrary allow sharing protocol materials and an overview of the data (e.g., the number of files)…”

Section: Data/materials Sharingmentioning

confidence: 99%

Adapting Open Science and Pre-registration to Longitudinal Research

Petersen¹,

Apfelbaum²,

McMurray³

2022

Preprint

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Open science practices, such as pre-registration and data sharing, increase transparency and may improve the replicability of developmental science. However, developmental science has lagged behind other fields in implementing open science practices. This lag may arise from unique challenges and considerations of longitudinal research. In this paper, preliminary guidelines are provided for adapting open science practices to longitudinal research to facilitate researchers’ use of these practices. The guidelines propose a serial and modular approach to registration that includes an initial pre-registration of the methods and focal hypotheses of the longitudinal study, along with subsequent pre- or co-registered questions, hypotheses, and analysis plans associated with specific papers. Researchers are encouraged to share their research materials and relevant data with associated papers, and to report sufficient information for replicability. In addition, there should be careful consideration about requirements regarding the timing of data sharing, to avoid disincentivizing longitudinal research.

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Getting Started Creating Data Dictionaries: How to Create a Shareable Data Set

Cited by 16 publications

References 23 publications

Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation

Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation

An open developmental science will be more rigorous, robust, and impactful

Adapting Open Science and Pre-registration to Longitudinal Research

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