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What is data publication?
Why making a distinction between data publication and a manuscript?
- Authorship and acknowledgement:
- often the data authors and paper authors overlap, but it is not always like that
- acknowledging contributions of scientists, who generated the data, but did not contribute to the interpretation or manuscript writing
- FAIR data principles
- Findability, Accessibility, Interoperability and Reusability: these are easier to guarantee in data repositories than in journal publishers
- Data publishers: focus on metatadata
What isn't data publication?
- Data publication isn’t adding a data table as a supplement to a published scientific paper. Often these are in the form of xlsx file or table in pdf. If the paper is not open access, the supplement isn't open access either. The dataset isn't citable!
- Data publication isn’t sharing data at MOSAiC Central Storage (MCS).
- Data publication isn't a statement in the paper "Data used for this manuscript were uploaded to PANGAEA and will be available soon."
What is data publication?
- Data publication is a published data set or data collection equipped with a complete set of metadata. It is fully citable by having a title, authors, abstract and a persistent identifier (usually DOI). It can have but need not have a reference to a scientific paper publication.
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Where do I publish “my” MOSAiC data?
- The default repository for MOSAiC is PANGAEA.
- My national funding agency requires depositing data in a special national repository. What should I do? These cases are handled as exceptions (see Data Policy) and a legitimate reason for not publishing the data in PANGAEA. At the moment, written agreements have been signed with several repositories: Arctic Data Center (ADC), Atmospheric Radiation Measurement (ARM) data center, British Oceanographic Data Centre (BODC), UK Polar Data Centre and Centre for Environmental Data Analysis (CEDA). When archiving data in these repositories, it is always important to acknowledge the MOSAiC project (see Data Policy). The agreements assure FAIR data publication and future findability of MOSAiC data from a single access point (portal to project and data).
- Other exceptions are possible for special data types (e.g., genomics, source code, high volume model data), for which PANGAEA is not a suitable repository and a dedicated community repository exists which fullfills the FAIR criteria. When archiving data in these repositories, it is always important to acknowledge the MOSAiC project (see Data Policy). Otherwise, findability of MOSAiC data from a single access point (portal) cannot be assured in the future. If you are unsure if this applies, contact the PANGAEA team.
- PANGAEA does not assign or link own DOIs to data sets published somewhere else.
When do I submit and publish “my” MOSAiC data?
- Submit your quality controlled data sets as early as possible and before they are used for a paper. In PANGAEA, the data can be password protected, which means only metadata are accessible, but data itself cannot be viewed or downloaded. However, PANGAEA editors can already provide a temporary access key for reviewers. While data set status is “in review”, the content can still be changed, and the DOI is provided already for use in your manuscript.
- Cite your data sets in any paper which is using them. Remember, data sets have full citations which can be used just like any other references.
- Like paper publication, data publication involve editorial work, which requires time (sometime up to several weeks). Do not wait with the submission of data for publication for the last minute. No data citation will be possible before the data are actually archived in the repository.
Data publishing workflow
The workflow drafted below includes publishing data set in the repository before the paper submission. This enables correct crossreferencing of both.
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How do I approach data publication?
Row data / Primary data publication workflow
- Raw data publication is going to be semi-automatic in the near future and the responsible PIs will be informed about the process.
- Primary data publication (calibrated data, data ready made for a paper publication) needs to be always initiated by the authors by opening a data submission ticket in PANGAEA or other designated repository, if exceptions apply.
- If the raw data wasn’t published with PANGAEA at the time of primary data publication yet, and is needed, contact the PANGAEA team for initiating the raw data publication.
- During data publication instruct the editors in your data repository to create links to other versions of data (e.g., raw data), especially when they were or are being published in another repository.
- All published data must include a funding acknowledgment of MOSAiC in the following form: "Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC)" with the tag "MOSAiC20192020”. Additionally, the Project ID given for specific expedition must be mentioned. For the Polarstern expedition this is "AWI_PS122_00". Additional attributions like specific award/grant numbers might be added.
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Datasets in PANGAEA may be archived as stand-alone publications of data (e.g., https://doi.org/10.1594/PANGAEA.753658) or as supplements to an article (e.g., https://doi.org/10.1594/PANGAEA.846130). Data can be submitted to and published in PANGAEA with access restrictions in place for a predefined period (until article publication, or during an embargo period).
Metadata must be submitted together with the data. Minimal requirements are:
- dataset Author(s)
- PI, dataset title
- MOSAiC device operation ID(s) / Event labels associated with individual data / data files
- related institute(s) or publication(s))
Any documentation (e.g., MOSAiC Standard operating procedures, MSOPs) helping to understand the data can and should be linked to the dataset(s). If no persistent link to the documents can be provided, PANGAEA can archive the documents permanently alongside the data.
The granularity of the data is up to the author(s) of the dataset. Lower-granularity datasets can be combined in a (time-)series collection dataset as in https://doi.org/10.1594/PANGAEA.873032. During submission (https://www.pangaea.de/submit/), the connection with MOSAiC has to be clearly stated in the Label Field of the Data Submission ("MOSAiC"). The MOSAiC Project ID (for the Polarstern expedition this is "AWI_PS122_00") is internally associated as a grant number of the MOSAiC project and does not have to be inserted in the submission form additionally.
The MOSAiC Device operation ID(s) / Events list is available after the end of each leg from PANGAEA page https://www.pangaea.de/expeditions/byproject/MOSAiC (can be found for viewing or download under "Event list: " link).
Within the data table, parameters (table header) should be submitted with full names and units. Data submitted in the form of videos, photos, geoTIFF, shape files, netCDF, sgy, etc. will be archived as is (e.g., https://doi.org/10.1594/PANGAEA.865445).
More information on data submission can be found in https://wiki.pangaea.de/wiki/Data_submission.
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Data submission to PANGAEA
Are you planning to share your research data? That is a great idea. If you publish your data with PANGAEA, we will provide a long-term data archiving service using the FAIR principles:
- Findable,
- Accessible,
- Interoperable,
- Reusable
With PANGAEA your data will be found by others, re-used, and cited appropriately – ensuring that you get the deserved credit for it.
Data submission is easy. All you need is your data, some additional information called metadata, and the willingness to open up your data to the world. By granting access to your data in a citable format you can greatly increase the impact of your scientific work. PANGAEA is a fully curated data repository, so once you take the initial step, we will help you personally through the further submission process.
To make the submission process smoother, you can work through the following checklist to see if you have everything ready:
- the final dataset files
- information about geolocation
- a title for your dataset
- list of the authors of your dataset
- and in case these data belong to an article, please have the tentative citation ready
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Once logged in, click on “Submit data” and a data submission form will open.
In this form, you can enter the information from your checklist, including
- authors,
- title of your dataset,
- description of your data, and
- other information you deem important, for example your project label.
You can choose the license under which you plan to share your data. We recommend CC-BY, which is suitable for scientific data reuse.
Finally and most importantly you need to attach your dataset files.
If your data files are larger than 100 MB we can provide an upload link for large files up to 10 GB per file. Please indicate this in the Description-field.
Once you think you have entered all necessary information and data files, you can click on “Create”. Do not worry if you are uncertain about some fields or content, you will still be able to make final adjustments during the following steps and with support of your data curator.
First the submission passes an editorial review to make sure the data submission fits the scope of PANGAEA and is complete. If questions remain, we will get back to you. Then the submission will be assigned to a data curator who will lead you through the further process.
After we’ve imported your data to PANGAEA, you’ll be asked to proofread your dataset, which is then “in review”. We lead you through this iterative process with our ticket system until the data submission is complete and approved by you.
Once the dataset is approved, the digital object identifier, DOI, is registered and with that the dataset is officially published and citable.
If the related manuscript has not been published yet, a moratorium on access and publication can be put in place. At the same time, PANGAEA can provide a temporary key to enable access to your datasets for example for anonymous reviewers.
To assure that the FAIR principles are met and that we can apply high quality standards, we provide professional and personalized data curation by skilled curators for every complete submission. This requires time. Thus, submit your data as early as possible to PANGAEA and we can keep your data under a moratorium until your publication has been accepted.
By sharing your data in PANGAEA you will increase the impact of your research data and receive proper credit for it.
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