What about replication of qualitative data?

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asimd23
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Joined: Mon Dec 23, 2024 3:25 am

What about replication of qualitative data?

Post by asimd23 »

The DA-RT guidance for the APSA journals represents a tidal wave of transparency requirements, even though adopting journals can select one of three levels of transparency standard for authors (milder to stronger). Publishers’ requirements are a stick that will shunt forward data sharing practices, more so than the softer, hard-to-enforce funder data policies. No data – no publish; a simple but efficient threat. Of course, many science journals such as Science, Nature and PLOS ONE already have data publication policies to enable validation of conclusions through reproduction of analysis. Data can sit as supplementary materials, in a germany rcs data public repository or in a journal’s own repository. Like other journals, AJPS has its own Dataverse, where supporting quantitative data and analysis syntax are deposited. In my opinion, some of the code I have viewed is exemplary in its rich annotation, and analysis can easily be re-run.


DA-RT proposes two types of transparency: production and analytical, and I see this is division as presenting the biggest problems for qualitative data.


DA-RT guidance so far on this is quite lightweight, and offers some useful principles, yet little practical guidance or exemplars are ready for the political scientist to view. As a data professional with 25 years in the data sharing industry, my own view is that production transparency is already very well done by many scholars in the UK; the UK Data Service has many exemplar datasets that showcase a range of data collection and processing transparency methods.
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