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Kristin Briney's online workbook "of exercises for researchers to improve their data management." Briney, K. (2023). The Research Data Management Workbook. Caltech Library. https://doi.org/10.7907/z6czh-7zx60

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OpenRefine is a powerful free, open source tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.

https://openrefine.org/

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the Free and Open-Source Qualitative Data Analysis Tool

https://www.taguette.org/

"Taguette is a free and open-source tool for qualitative research. You can import your research materials, highlight and tag quotes, and export the results."

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Zotero for lawyers

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➽ Click here to install tools from the Juris-M suite.

Desktop Resource Manager

The Juris-M resource manager is a variant of the Zotero reference manager, modified and extended to support legal and multilingual referencing.

Abbreviation Filter

Style-specific abbreviation lists for law and other fields, with a flexible editor for adding and editing entries.

Juris-M is free software.

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➽ Click here to install tools from the Juris-M suite. Desktop Resource Manager The Juris-M resource manager is a variant of the Zotero reference manager, modified and extended to support legal and multilingual referencing. Abbreviation Filter Style-specific abbreviation lists for law and other fields, with a flexible editor for adding and editing entries.

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Možné zmatení uživatelů kombinací kategorií

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Možné zmatení uživatelů kombinací kategorií

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Nástroj se mi jako myšlenka moc líbí a velmi si cením designu postaveném na lifecycle.

Problém:

Jediné, na co jsem zatím narazil je kombinace Storing & Archiving, resp. překryv s Data Publishing - mít na jedné kupě třeba S3 a Zenodo by mohlo v méně zkušených uživatelích vzbudit dojem, že S3 je také repozitář jako Zenodo.

Návrh řešení:

Oddělit repozitáře od úložišť přidáním nódu Data Publishing byť za cenu duplicity některých řešení v částech cyklu.

Kdo bude benefitovat:

Především méně zkušení uživatelé.

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Reusing existing data for new research purposes.

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Ensuring long-term accessibility and integrity of data after project completion.

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Sharing data publicly or within teams, in compliance with legal and ethical requirements.

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Analyzing data to obtain results that answer research questions.

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Cleaning, transforming, and converting data into suitable formats for further use.

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Collaboration and organization of data during the research process.

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Ensuring proper data collection, including metadata, documentation, and formats.

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Preparing data management before a project or experiment, e.g., creating a Data Management Plan (DMP).