Creating an eResearch environment – Lessons learned A-LIEP 2009, Tsukuba/Japan March 2009 Ulla Tschida, Max-Planck Digital Library (MPDL)

eSciDoc Solution Strategy Close and ongoing contacts to MPIs to identify and address specific needs (participation concept)‏ Collections/solutions with high relevance for research Overall technical and conceptual enhancements in parallel Initial focus: “Publication data”, “Image data”, “Text-Image” User-focused working environments Data reliability Digital preservation / Long term archiving Foster knowledge and know-how to address future requirements faster re-use and extend existing components/services Improve internal processes requirements engineering software development communication internal/external Management of expectations 03.12.2018 Seite 1

Phases of development  activities participation Functional requirements, specifications Abstract prototypes, scenarios Formal use cases => Workshops, Discussions, Narrative Scenarios Interface conception and design Functional Prototypes GUI Patterns, Components => Usability Workshops, Interviews Technical Design and implementation => Prototype testing Roll-out => Joint workshops, How-Tos, Manuals => „Mentors“, joint presentations 03.12.2018 Seite 2

Participation Concept in the Max-Planck Society Aim Keep development close to researcher needs Agile and quick feedback/change request loops Find local “multipliers” at institute Target Groups MPS institutes (scientists, Library, IT) Involvement Shaping release plans according to needs (Early Adopters) Testing, feedback, evaluations (features, GUI) First productive users Organisation/Tools Early Adopters/Partners (vital interest, commitment institute) Pilot group (fast followers, library know-how) Regular workshops, Usability interviews CoLaboratory (wiki-based) http://colab.mpdl.mpg.de/ Blogs eg. http://pubman.blogs.mpdl.mpg.de/ Mailinglists 03.12.2018 Seite 3

(Some) Lessons learned Close to Science & Humanities Early, committed user groups (Early Adopters, Pilots) Find „Mentors“ and Advocates Support a „learning“ environment within the project Specialised solutions  generic components and concepts Prepare for the unexpected eResearch Development = organisational development Workflow analysis, data analysis, policy development Integration of central and local services Support local librarian expertise, encourage building-up new knowledge and know-how (e.g. data curators) 03.12.2018 Seite 4