1. DTU DMP template It is not a fixed document, but should be updated whenever necessary. Additional resources might need to be assigned for data management. Responsibilities for data management need to be defined. 5 sections with one or two questions each. Short introduction to each section as motivation. Additional questions and examples in the guidance.

2. 18. april 2016 Add Presentation Title in Footer via ”Insert”; ”Header & Footer” DATA COLLECTION –DESCRIBE THE DATA THAT WILL BE COLLECTED. –DESCRIBE ANY RESTRICTIONS TO THE DATA. DATA STORAGE –DESCRIBE THE IT INFRASTRUCTURE TO BE USED. DOCUMENTATION –DESCRIBE THE METADATA TO BE ASSOCIATED WITH THE DATA. –DESCRIBE THE TYPES OF DOCUMENTATION THAT WILL ACCOMPANY THE DATA. DATA SHARING –DESCRIBE WHICH DATA WILL BE SHARED. –DESCRIBE HOW THE DATA WILL BE SHARED FOR POSSIBLE REUSE. LONG-TERM PRESERVATION –DESCRIBE HOW DATA WILL BE ARCHIVED BEYOND THE SCOPE OF THE RESEARCH PROJECT. 2

3. 18. april 2016 Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Tek_DTUB_DTU Space 1) Geomagnetic real time data about the Earth's magnetic field from observatories located in Denmark and Greenland. 2) Magnetic field models for data collected by satellites in collaborations with ESA. DTU Space wants to improve the accessibility and visibility of their data and be acknowledged more. The main questions are: Where can the data be stored in order to enhance visibility and accessibility? Which tools can be used for tracking usage of the data and data models and connecting them with publications? How can the visibility on DTU's webpages be improved? 3

4. 18. april 2016 Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Tek_DTUB_DTU Vind Large collection of meteorological data collected the last 20 years. The whole 'data bank' can be divided in several type of data-sets, where the following categories can be identified: 1.data sets released with a publication (e.g. books and reports) 2.data set published independently, but they are described in a publication 3.Publications in other formats, e.g. short materials, visuals, software source code. 4.Other data sets: Measurement data, experimental data, model results, own standard data sets from models, etc. DTU Wind Energy would like to catalogue, archive and make available these data. Most of these data are not reproducible. Main questions: Which repository/archive would be appropriate for these data? Which are the appropriate metadata for these data sets? What are the requirements for archiving these data? Is it possible to create a metadata catalogue?