Table 1
List of DMP variables for data analysis with description and accepted values. (ND = Not Determined).
| N | FIELD | DESCRIPTION AND ACCEPTED VALUES |
|---|---|---|
| 1 | Project identifier | Alphanumeric string that identifies the project. Three-digit sequential numbering, independent of other identifiers. |
| 2 | Dataset identifier | Alphanumeric string that identifies the dataset. Three-digit sequential numbering, independent of other identifiers. |
| 3 | Entry identifier | Alphanumeric string that identifies the data category (e.g., file), described in the current row. Three-digit sequential numbering, independent of other identifiers. |
| 4 | Creator’s unit | Research unit (e.g., department, center) of the individual who created, reused, or contributed to the dataset. Accepted values include ‘ND’ (new data with undefined creator), and ‘EXT’ (external data created by individuals outside UniBO). Multiple values may be listed when contributors belong to different known or unknown research units. |
| 5 | Creator’s SSD | Disciplinary scientific sector (SSD) of the individual who created, reused, or contributed to the dataset. Accepted values include ‘ND’ (new data with undefined creator), and ‘EXT’ (external data created by individuals outside UniBO). Multiple values may be listed when contributors belong to different known or unknown research units. |
| 6 | Principal Investigator’s SSD | Disciplinary scientific sector (SSD) of the principal investigator of the project. |
| 7 | Project unit | Research unit (department, center, etc.) of the principal investigator of the project. |
| 8 | Project program | The program under which the project is being funded. Values are: HE (Horizon Europe); H2020 (Horizon, 2020). |
| 9 | Project type | Classified according to the recipient of the funding. Values are: Individual; consortium. |
| 10 | Subject area | Disciplinary or thematic area to which the project belongs. |
| 11 | Month DMP is delivered | Deadline for the delivery of the DMP, expressed in the form: M6 (within six months from the start of the project), M12 (within twelve months from the start of the project). |
| 12 | Public DMP | Is the DMP publicly available? Values are: 1 (True), 0 (False). ND is also accepted. |
| 13 | Data type | Typology of data on a formal level, e.g., image. ND is also accepted. |
| 14 | Data content | Categorization of the data at the content level, e.g., scanned image of a medieval manuscript. |
| 15 | Format | Format and extension (if more than one, separated by commas). ND is also accepted. |
| 16 | New data | Is the data newly produced? Values are: 1 (True), 0 (False). ND is also accepted. |
| 17 | Contains personal data | Does the research data contain personal data? Values are: 1 (True), 0 (False). ND is also accepted. |
| 18 | Personal data management strategy | Strategy adopted to respect participants’ privacy with respect to their personal data. Values are: Anonymization, pseudonymization, no strategy, consent to publish. ND is also accepted. |
| 19 | Level of access | Accessibility of the data entry. Values are: Open, accessible under conditions, controlled, embargoed, unlicensed, unfiled, unknown. |
| 20 | Reason of inaccessibility | Excessive size, ethical issues, privacy, IPR. ND is also accepted. |
| 21 | Size | Orders of magnitude for digital data (Bytes, KB, MB, GB, TB, PB, EB, ZB, YB). ND is also accepted. |
| 22 | Standard | Name of standards used to organize and structure data (e.g., vocabularies, ontologies, taxonomies). ND is also accepted. |
| 23 | Deposited | Has the data been deposited in a data repository? Values are: 1 (True), 0 (False). |
| 24 | Chosen repository | Name of repository chosen by researchers to deposit data, as stated in re3data.org. ND is also accepted. |
| 25 | PID | Does the data have an associated PID? Values are: 1 (True), 0 (False). |
| 26 | Associated publication | Does the data have an associated publication? Values are: 1 (True), 0 (False). ND is also accepted. |
| 27 | Notes | General notes concerning other unclassified issues. |
Figure 1
Most popular data types per data entry.
Figure 2
Number of unique data types per dataset.
Figure 3
Number of unique data types per project.
Table 2
Number of single-beneficiary (total 17) and collaborative projects (total 12) by number of data types handled.
| N OF DATA TYPES HANDLED | N OF SINGLE-BENEFICIARY PROJECTS HANDLING NUMBER OF DATA TYPES | N OF COLLABORATIVE PROJECTS HANDLING NUMBER OF DATA TYPES |
|---|---|---|
| 1 | 1 | 0 |
| 2 | 3 | 5 |
| 3 | 7 | 0 |
| 4 | 2 | 4 |
| 5 | 3 | 1 |
| 6 | 0 | 1 |
| 7 | 1 | 1 |
Figure 4
Breakdown of data types chosen across (a) single-beneficiary projects and (b) collaborative projects.
Figure 5
Breakdown of data types chosen across subject areas.
Table 3
Top 20 data format preferred by researchers.
| RANK | FORMAT | N OF ENTRIES |
|---|---|---|
| 1 | .txt | 95 |
| 2 | .csv | 78 |
| 3 | .jpg | 33 |
| 4 | .tiff | 29 |
| 5 | .odt | 28 |
| 6 | .xlsx | 25 |
| 7 | 24 | |
| 8 | .xls | 24 |
| 9 | .png | 20 |
| 10 | .rtf | 20 |
| 11 | .mp4 | 19 |
| 12 | .docx | 14 |
| 13 | .mat | 12 |
| 14 | .opj | 12 |
| 15 | .doc | 11 |
| 16 | .mp3 | 11 |
| 17 | .ods | 11 |
| 18 | .m | 9 |
| 19 | .bag | 7 |
| 20 | .xml | 7 |
Figure 6
Word cloud showing the most cited data formats in the DMPs.
Figure 7
Need for personal data management for each project, evaluated per data entry.
Figure 8
Personal data management strategy per data entry.
Figure 9
Sankey diagram showing the influence of ethics, privacy, and IPR on the levels of access of the data entries.
Table 4
Frequency of ethics, privacy, and IPR issues that may influence the levels of access.
| LEVEL OF ACCESS | REASON OF INACCESSIBILITY | N OF ENTRIES |
|---|---|---|
| Open | Privacy | 2 |
| Privacy, IPR | 2 | |
| Accessible under conditions | Privacy | 4 |
| Privacy, IPR | 2 | |
| Controlled | Ethical issues | 2 |
| IPR | 11 | |
| Privacy | 2 | |
| Embargoed | IPR | 1 |
| Unfiled | IPR | 1 |
| IPR, Ethical issues | 3 | |
| Privacy | 3 | |
| Privacy, IPR | 6 |
Table 5
Repositories chosen by researchers for long-term preservation.
| CHOSEN REPOSITORY | N OF ENTRIES | URL |
|---|---|---|
| AMS Acta | 109 | https://amsacta.unibo.it/ |
| Zenodo | 94 | https://zenodo.org/ |
| Open Science Framework | 34 | https://osf.io/ |
| Chemotion | 12 | https://chemotion.net/ |
| FiVeR | 9 | https://fiver.ifvcns.rs/ |
| AMS Historica | 2 | https://historica.unibo.it/ |
| OpenAgrar | 2 | https://www.openagrar.de/content/index.xml |
| Springer website | 2 | https://www.springer.com/ |
| European Nucelotide Archive | 2 | https://www.ebi.ac.uk/ena/browser/home |