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Closing remarks

Do we know enough? Clearly, the answer is: no, we do not know what the future will bring. And that is maybe our biggest challenge: getting our minds to accept that we will never again ‘know enough’ at any time. While yet having to make decisions every day, every year, on where to go next. | Herbert van de Sompel & Andrew Treloar 

In this final section we will give you a quick starter for entering the global network of data supporters. Or even better - to your global network!

Enter here

Congratulations. You have reached the end of the course! After you have followed the Essentials 4 Data Support course, your explorations as a data supporter are truly starting.

With this course we wanted to create a meeting point and starting point where data supporters meet and benefit from each other's freshly acquired knowledge and skills. As we wrote before: In our vision, supporting researchers in taking care of their research data is teamwork. If data supporters find each other, everyone and the researcher in particular benefit. We hope that you feel consciously incompetent after following the course. That is the best starting point to keep on learning. After all, it's not that you should know everything about data management after this course. What matters is that you are will most likely know much better what questions you have and to whom or where you can ask your next question.

We are probably not telling you anything new by now, but below you can find an overview of a number of entrances to your new professional network. We are looking forward to seeing you there and will wholeheartedly welcome you to one of the networking days of former students of Essentials 4 Data Support.

Good luck and loads of fun with your explorations and your work as a data supporter!

In the spotlight

How do I join the Dutch community of data supporters?

Also see the Guidelines for Datastewardship by LCRDM (n.d.c.).

What happens in Dutch research institutions in the field of data support?

Visit the overview on the LCRDM (n.d.d.) page. In Dutch only. 

Which (online) courses do you recommend?

What material can I reuse to train researchers?

If applicable, you can also look for discipline-specific training material at:

Which other sources of information are also useful?

Do you need more sources of information? Don't forget to take another look at the sources that have been collected for and by students.

What are the sources you use yourselves?

Throughout the course we have made grateful use of many sources, both digital and in the form of experts and always with acknowledgement. We would like to mention the following sources in particular:



Thanks to the input of Annemiek van der Kuil, Ardi Nonhebel, Boudewijn van den Berg, Cees Hof, Chantal Kemner, Egbert Gramsbergen, Ellen Verbakel, Frans Huigen, Ingrid Dillo, Jacquelijn Ringersma, Judith Pijnacker, Lena Karvovskaya, Lisa de Leeuw, Marjan Grootveld, Marlon Domingus, Marta Teperek, Martine Pronk, Renate Mattiszik, Rene van Horik, Rudy Dokter, Sarah Coombs, Steef Löwik, Stefan Ramaker, Tom Paffen, Valentine Gilissen. Unless otherwise indicated, the illustrations in Essentials 4 Data Support are made by Verbeeldingskr8.  


Click to open/close

4TU.ResearchData, Delft University of Technology (n.d.). Open working [blog]. 

Bosman, J., Kramer, B. (2019). 2019 Summer school Open science and scholarship. Open Science and Scholarship. Changing your research workflow.

CESSDA Training Working Group (2017 - 2018). CESSDA Data Management Expert Guide. Bergen, Norway: CESSDA ERIC. Retrieved from

CESSDA (2018). Train-the-Trainers Package. 

DTL (n.d.a.) Data Stewards Interest Group.

DTL (n.d.b.) Dutch Techcentre for Life Sciences (DTL) training materials.

Elixer (n.d.). Elixer life sciences training resources.

FOSTER (n.d.). Foster open science resources.

Kleemola, M. (2018, November 29th). Being trustworthy and FAIR requires people, processes, technologies and collaboration

LCRDM (n.d.a.). RDM Mailing list.

LCRDM (n.d.b.). Pool of experts. LCRDM.

LCRDM (n.d.c). Guidelines Datastewardship.

LCRDM (n.d.d.). RDM in de praktijk.

Library Carpentry (n.d.) Top 10 FAIR Data & Software things.

Open Science MOOC (n.d.)

RDA (2016). 23 things. Libraries for Research Data.

RDA (n.d.). RDA in the Netherlands.

SURF (n.d.). Training courses for research.

UK Data Service (n.d.). Data management training resources.

University of Edinburgh, DCC, RDNL (2019). Delivering Research Data Management Services.

Utrecht University (n.d.). RDM Support. Guides.