Agile Research Data Management with FDOs using LinkAhead

One essential question with regard to the implementation of FAIR (Wilkinson et al. 2016) Digital Objects (FDOs) in everyday research is following: How data that acquired some way transformed into FDOs? Creating FDOs from a two-fold problem: "FAIR principles are policies, whereas digital objects technical abstractions" (Schwardmann 2020). Regarding side, order become FDOs, raw stored files and databases have be bundled their metadata PIDs assigned. With good tools at hand, sharing as an FDO others might only matter few mouse clicks -- if readily available. However, process collecting comes significant challenges its own. While sometimes necessary, manual annotation error-prone time-consuming. Due resource constraints time pressure, researchers skip this task whenever it does not any direct benefits for work frame current project. The experience existing repositories tells us adding late stage life cycle (for example just before publication) delays problem best case. In worst case, important information has already been lost stage. Furthermore, there which, researchers, mean more rules follow thus spent on management. Research should enriched early possible ensure FDO-ready when needed. do this, need assist them making those must hinder but case even promote it. This means drawbacks mitigated compensated by researchers. contribution, we present how early-on FDO-readyness can achieved open source management toolkit LinkAhead profit directly work. LinkAhead, CaosDB (Fitschen 2019) distribution, assists users very first steps acquisition completion publication semantic modal, powerful search capabilities. Why would what necessary make FOD-ready, early-on? welcome side-effect users. Even though cannot magically generate all relevant FAIR, LinkAheads allows automation where elsewhere. inevitable additional reduced well new possiblities data. Thus nudged storing clear understandable structures annotating high-quality metadata. We will highlight following, benefit FDO-readiness daily due characteristics LinkAhead. adapts changing needs It agile ensures efficiently conduct At same time, supports development, documentation observance standards which vital commensurability, reusability, reproducibility findings. designed tool after last fed LIMS, ELNs, simulation analysis software, helps workflows, manages files. Which offer they data? When searching general or particular employ connections among find looking for. Thereby, browsing web interface targeted. Additionally, these capabilities used within workflows create correct basis using hand. Client libraries, like Python client, allow include automated analyses. Since insertion inefficient many environments, via forms, encourages usage automatic processes Crawler. added during step possible, completing initial strike balance between interrupting workflow running above mentioned too late. highly customizable complement soon such constituted. model use ontologies domain also extend adaption changed requirements assures compatibility old possible. capture both relations FDO, metadata, data, possibly references other elsewhere PIDs. facilitate creation validation FDOs. seamlessly integrate concept Thereby burden researcher used. Components access intuitive while API (and FDOs) processing analysis. Thus, creating objects, creates incentives target adhere guiding principles. brings people who extra Strategically, utmost importance initiative whole succeed.