TiSEM Data Package
As part of responsible data management, TiSEM requires data packages of published research (as of September 15, 2020). Getting a paper accepted is a good moment to ‘clean up’ the files and archive the data. And maybe the journal also requires a data package to be submitted.
Creating a data package is much easier while working on the research than afterwards and researchers are encouraged to get familiar with the requirements.
Creating meta data for your research will help you understand your research years from now. It consists of documentation and possibly machine readable meta data (automatically added in a standardized format if the data are deposited in a repository).
The documentation is all the information needed to enable reuse and/or replication: administrative, descriptive, structural. For example methodology, analytical and procedural information, definitions of variables, units of measurement, reasons for missing values, etc. The documentation is available through for example README files, codebooks, text files, information included in data files or syntaxes.
The data (raw and processed) needs to remain accessible for a minimum of 10 years and safe and reliable storage is required. TiU servers and Tilburg University Dataverse are recommended. When data are archived at Dataverse, you can choose if the data are available to other researchers or not. Dataverse offers a number of benefits like possible citations and more.
You can take a look at an example of archived research data by our colleague David Schindler in Tilburg University Dataverse.
Be sure to review what data needs to be archived for the long term, for example contact information of participants might not be needed anymore and can therefore be destroyed in order to minimize privacy risks and comply with GDPR.
We stimulate Open Science, including Open Access, as part of our social responsibility and because it will increase the broad awareness of the results of your research and can lead to increased citations and collaborations. Maybe the post print version of your research and/or the data can be deposited and made available, for example via the Research Portal? Via Dataverse you have the opportunity to share your data (open, restricted, or under license) and for example programming code, prepared in such a way that it can be used easily by other researchers. You can also share information about the research process (including results not published in the final version).
The data representative is available to provide support or additional information.