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Copy file name to clipboardexpand all lines: docs/10_domains/20_physical_chemistry.mdx
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For effective data management, software tools should be selected in a uniform manner within a project or research group with the aim to [organize](/docs/data_organisation) and streamline workflows. This involves establishing clear usage guidelines, including metadata templates drawn from minimum information standards for a given method, where available. These should be outlined in a [data management plan (DMP)](/docs/dmp) for each project. Many universities supply tools and templates for DMPs (see the [respective article](/docs/dmp) for more information).
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An [electronic lab notebooks (ELNs)](/docs/eln) helps in the day-to-day planning and structured documentation of experiments, while some also assist in data workflow management. For disciplines with diverse research, ELNs must be flexible and customizable. Certain universities may have a central option, while each research group may chose what best fits their needs and resources if they are able to host or procure their own solution. The [ELN-Finder](https://eln-finder.ulb.tu-darmstadt.de/search?f.K03=Pharmacy,equals&spc.page=1) lists many options and the article on [choosing an ELN](/docs/choose_eln) provides further assistance:
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An [electronic lab notebooks (ELN)](/docs/eln) helps in the day-to-day planning and structured documentation of experiments, while some also assist in data workflow management. For disciplines with diverse research, ELNs must be flexible and customizable. Certain universities may have a central option, while each research group may chose what best fits their needs and resources if they are able to host or procure their own solution. The [ELN-Finder](https://eln-finder.ulb.tu-darmstadt.de/search?f.K03=Pharmacy,equals&spc.page=1) lists many options and the article on [choosing an ELN](/docs/choose_eln) provides further assistance:
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<ElnFindersubDisc="Physical chemistry" />
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In addition to ELNs, tools such as local repository and research dat management tools can assist in making data publication ready.
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For those writing scripts and developing research software solutions, [Git](https://git-scm.com/) is a highly recommended versioning tool. May universities also have their own instances of [GitLab](https://about.gitlab.com/) to assist in managing software projects.
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For those writing scripts and developing research software solutions, [Git](https://git-scm.com/) is a highly recommended versioning tool. Many universities also have their own instances of [GitLab](https://about.gitlab.com/) to assist in managing software projects.
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Specifically for research data, [DataLad](https://www.datalad.org/), which is built on top of git, can greatly assist in tracking the metadata while processing and analyzing data. While it works for steps carried out with GUI applications, its true power comes in handy for those using script-based analysis and processing steps.
The world around us is constantly evolving. For example, the smartphones in our pockets are much faster than an 80s supercomputer that could barely fit in an average bedroom. Unfortunately, this development has not yet reached our laboratories. The paper lab notebook is as common as it was 100 years ago, and the way chemical research data is documented - literally with pen and paper - has made little progress in the last century.
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The world around us is constantly evolving. For example, the smartphones in our pockets are much faster than an 80s supercomputer that could barely fit in an average bedroom. Unfortunately, this development has not yet reached our laboratories. The paper lab notebook is as common as it was 100 years ago, and the way chemical research data is documented - literally with pen and paper - has made little progress in the last century.
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Bringing advances in information technology to our labs (smartlab) does not necessarily mean tablets & touchscreens everywhere in your lab. The term smartlab is more about the interconnectivity of the entire workflow and the handling of research data according to the [FAIR principles](/docs/fair). ELNs help assign rich [metadata](/docs/metadata) to experiments and make the data collected traceable and reusable. With the ability to transfer data from instrumentation directly into the ELN, the ELN has all the data in one place. From the ELN, data can be easily published to repositories and transferred to long-term [archiving](/docs/data_storage).
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One of the most important things that distinguishes an ELN from a blank piece of paper is the ability to document [metadata](/docs/metadata) in a structured and ideally human- and machine-readable way. For more information on the differences between simple systems, ELNs and Laboratory Information Management Systems (LIMS), see the following overview.
ELNs help to link experimental descriptions directly to the collected data so that all information can be found in one place. Furthermore, data loss is avoided by secure data storage and backups. Storing all the data in one central place helps also with knowledge management because the data is easily findable and accessible, even for new members in a research project. The biggest advantage of an ELN is that [metadata](/docs/metadata) is stored in a structured and [standardised](/docs/format_standards) way. This also helps with publishing research results and transferring research data to a repository.
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