This is a comprehensive Manual to show how the e!DAL Data Submission Tool works.
To run the Data Submission Tool, a current Java 8 Runtime (or newer) containig the JavaFX Library is necessary. We recommend to download the official Oracle JDK from here.
|If you are using a JRE without JavaFX Library (e.g. OpenJDK) you will receive an error message when try to launch the application.|
1. Download Java Webstarter
Please click one of the submission links (IPK or ELIXIR) and download the corresponding Java-Webstart file (*.jnlp). You can start the application by just clicking on the *.jnlp file or execute via terminal:
$ javaws e!DAL_Publication_(IPK|ELIXIR).jnlp
|If you have already installed the correct JRE and configured your browser correct, you will usually asked if you want to execute the webstart application directly instead of download the *.jnlp file.|
Before the Application will be initiated you have to allow that the system can execute it (see Figure 1).
To start the actual publication tool it is necessary to authenticate yourself.
a) IPK Login Module
Please enter your common username and password (same as for eMail) to authenticate.
|It is only possible to login with your IPK account if you are within the local IPK network or if you are connected via VPN client.|
b) Elixir Login Module
|Depending on your security settings, it is possible that you will be asked to allow the JAVA application to connect to the internet through your firewall. It is necessary to accept this request to login via the Elixir module.|
3) Data Deposition & License Agreement
Before you can start describing and uploading your data, please read the Data Deposition and License Agreement carefully. It can accessed directly within the application or downloaded as PDF document. Further the document will send to you as attachment in a confirmation e-Mail.
After reading the document the form will be unlocked automatically.
4) Data Selection & Description
After selecting your datasets, which you want to upload, by clicking into the first field you can use additional fields to enter all necessary information to describe your data.
You can select single files as well as comprehensive datasets containing subdirectories and files.
It is not allowed to upload compressed files or directories, because this would prevent from navigating later through the dataset on the provides content pages for every DOI.
When all necessary metadata are filled, you can go to the next step.
5) Agreement Approval & Data Upload
Before the actual upload process will be initiated, you finally need to accept the Deposition and License Agreement.
|Depending on the volume of your dataset, the upload can take a while. Please do not interrupt the process.|
After finishing the upload process, you can submit another dataset or close the application. You will receive a confirmation if that your request is under review via e-Mail.
6) Data Review
When the review of your submission was successful, you will receive an the acceptance notification with a temporal preview link to the content pages of your data as well as a link to assign the final DOI or to reject the request.
|The linked preview content page is identical to the later final DOI content page. Please use this URL only for internal communication e.g. with the editors and reviewers of the research paper that should referring your data. At this point you can still makes changes. If you assigned the DOI, it is fixed and unchangeable! When it is necessary to change the uploaded data, then just reject the submission and initiate a new submission.|
|If your data is part of a research article, please do not forget to assign the final DOI at the end, when working on the pages proofs. Do not publish your article using the temporal preview link !|
7) DOI Assigning
When you confirm the DOI assignment you will receive a final e-Mail with your DOI, which should be worldwide resolvable within the next five minutes.
|If you were satisfied with our service, please give credit and cite e!DAL: Arend et al.: e!DAL-a framework to store, share and publish research data. BMC Bioinformatics 15(214), 2014.|